Data visualisation approaches for component network meta-analysis: visualising the data structure.

BACKGROUND: Health and social care interventions are often complex and can be decomposed into multiple components. Multicomponent interventions are often evaluated in randomised controlled trials. Across trials, interventions often have components in common which are given alongside other components which differ across trials. Multicomponent interventions can be synthesised using component NMA (CNMA). CNMA is limited by the structure of the available evidence, but it is not always straightforward to visualise such complex evidence networks. The aim of this paper is to develop tools to visualise the structure of complex evidence networks to support CNMA. METHODS: We performed a citation review of two key CNMA methods papers to identify existing published CNMA analyses and reviewed how they graphically represent intervention complexity and comparisons across trials. Building on identified shortcomings of existing visualisation approaches, we propose three approaches to standardise visualising the data structure and/or availability of data: CNMA-UpSet plot, CNMA heat map, CNMA-circle plot. We use a motivating example to illustrate these plots. RESULTS: We identified 34 articles reporting CNMAs. A network diagram was the most common plot type used to visualise the data structure for CNMA (26/34 papers), but was unable to express the complex data structures and large number of components and potential combinations of components associated with CNMA. Therefore, we focused visualisation development around representing the data structure of a CNMA more completely. The CNMA-UpSet plot presents arm-level data and is suitable for networks with large numbers of components or combinations of components. Heat maps can be utilised to inform decisions about which pairwise interactions to consider for inclusion in a CNMA model. The CNMA-circle plot visualises the combinations of components which differ between trial arms and offers flexibility in presenting additional information such as the number of patients experiencing the outcome of interest in each arm. CONCLUSIONS: As CNMA becomes more widely used for the evaluation of multicomponent interventions, the novel CNMA-specific visualisations presented in this paper, which improve on the limitations of existing visualisations, will be important to aid understanding of the complex data structure and facilitate interpretation of the CNMA results.

Comparative effectiveness of psychological interventions for treating the psychological consequences of sexual abuse in children and adolescents: a network meta-analysis.

BACKGROUND: Following sexual abuse, children and young people may develop a range of psychological problems, including anxiety, depression, post-traumatic stress disorder (PTSD), and a range of behaviour problems. Those working with children and young people experiencing these problems may use one or more of a range of psychological approaches. OBJECTIVES: To assess the relative effectiveness of psychological interventions compared to other treatments or no treatment controls, to overcome psychological consequences of sexual abuse in children and young people up to 18 years of age. Secondary objectives To rank psychotherapies according to their effectiveness. To compare different 'doses' of the same intervention. SEARCH METHODS: In November 2022 we searched CENTRAL, MEDLINE, Embase, PsycINFO, 12 other databases and two trials registers. We reviewed the reference lists of included studies, alongside other work in the field, and communicated with the authors of included studies. SELECTION CRITERIA: We included randomised controlled trials comparing psychological interventions for sexually abused children and young people up to 18 years old with other treatments or no treatments. Interventions included: cognitive behavioural therapy (CBT), psychodynamic therapy, family therapy, child centred therapy (CCT), and eye movement desensitisation and reprocessing (EMDR). We included both individual and group formats. DATA COLLECTION AND ANALYSIS: Two review authors independently selected studies, extracted data and assessed the risk of bias for our primary outcomes (psychological distress/mental health, behaviour, social functioning, relationships with family and others) and secondary outcomes (substance misuse, delinquency, resilience, carer distress and efficacy). We considered the effects of the interventions on all outcomes at post-treatment, six months follow-up and 12 months follow-up. For each outcome and time point with sufficient data, we performed random-effects network and pairwise meta-analyses to determine an overall effect estimate for each possible pair of therapies. Where meta-analysis was not possible, we report the summaries from single studies. Due to the low number of studies in each network, we did not attempt to determine the probabilities of each treatment being the most effective relative to the others for each outcome at each time point. We rated the certainty of evidence with GRADE for each outcome. MAIN RESULTS: We included 22 studies (1478 participants) in this review. Most of the participants were female (range: 52% to 100%), and were mainly white. Limited information was provided on socioeconomic status of participants. Seventeen studies were conducted in North America, with the remaining studies conducted in the UK (N = 2), Iran (N = 1), Australia (N = 1) and Democratic Republic of Congo (N = 1). CBT was explored in 14 studies and CCT in eight studies; psychodynamic therapy, family therapy and EMDR were each explored in two studies. Management as usual (MAU) was the comparator in three studies and a waiting list was the comparator in five studies. For all outcomes, comparisons were informed by low numbers of studies (one to three per comparison), sample sizes were small (median = 52, range 11 to 229) and networks were poorly connected. Our estimates were all imprecise and uncertain. Primary outcomes At post-treatment, network meta-analysis (NMA) was possible for measures of psychological distress and behaviour, but not for social functioning. Relative to MAU, there was very low certainty evidence that CCT involving parent and child reduced PTSD (standardised mean difference (SMD) -0.87, 95% confidence intervals (CI) -1.64 to -0.10), and CBT with only the child reduced PTSD symptoms (SMD -0.96, 95% CI -1.72 to -0.20). There was no clear evidence of an effect of any therapy relative to MAU for other primary outcomes or at any other time point. Secondary outcomes Compared to MAU, there was very low certainty evidence that, at post-treatment, CBT delivered to the child and the carer might reduce parents' emotional reactions (SMD -6.95, 95% CI -10.11 to -3.80), and that CCT might reduce parents' stress. However, there is high uncertainty in these effect estimates and both comparisons were informed only by one study. There was no evidence that the other therapies improved any other secondary outcome. We attributed very low levels of confidence for all NMA and pairwise estimates for the following reasons. Reporting limitations resulted in judgements of 'unclear' to 'high' risk of bias in relation to selection, detection, performance, attrition and reporting bias; the effect estimates we derived were imprecise, and small or close to no change; our networks were underpowered due to the low number of studies informing them; and whilst studies were broadly comparable with regard to settings, the use of a manual, the training of the therapists, the duration of treatment and number of sessions offered, there was considerable variability in the age of participants and the format in which the interventions were delivered (individual or group). AUTHORS' CONCLUSIONS: There was weak evidence that both CCT (delivered to child and carer) and CBT (delivered to the child) might reduce PTSD symptoms at post-treatment. However, the effect estimates are uncertain and imprecise. For the remaining outcomes examined, none of the estimates suggested that any of the interventions reduced symptoms compared to management as usual. Weaknesses in the evidence base include the dearth of evidence from low- and middle-income countries. Further, not all interventions have been evaluated to the same extent, and there is little evidence regarding the effectiveness of interventions for male participants or those from different ethnicities. In 18 studies, the age ranges of participants ranged from 4 to 16 years old or 5 to 17 years old. This may have influenced the way in which the interventions were delivered, received, and consequently influenced outcomes. Many of the included studies evaluated interventions that were developed by members of the research team. In others, developers were involved in monitoring the delivery of the treatment. It remains the case that evaluations conducted by independent research teams are needed to reduce the potential for investigator bias. Studies addressing these gaps would help to establish the relative effectiveness of interventions currently used with this vulnerable population.

Pharmacological treatments in panic disorder in adults: a network meta-analysis.

BACKGROUND: A panic attack is a discrete period of fear or anxiety that has a rapid onset and reaches a peak within 10 minutes. The main symptoms involve bodily systems, such as racing heart, chest pain, sweating, shaking, dizziness, flushing, churning stomach, faintness and breathlessness. Other recognised panic attack symptoms involve fearful cognitions, such as the fear of collapse, going mad or dying, and derealisation (the sensation that the world is unreal). Panic disorder is common in the general population with a prevalence of 1% to 4%. The treatment of panic disorder includes psychological and pharmacological interventions, including antidepressants and benzodiazepines. OBJECTIVES: To compare, via network meta-analysis, individual drugs (antidepressants and benzodiazepines) or placebo in terms of efficacy and acceptability in the acute treatment of panic disorder, with or without agoraphobia. To rank individual active drugs for panic disorder (antidepressants, benzodiazepines and placebo) according to their effectiveness and acceptability. To rank drug classes for panic disorder (selective serotonin reuptake inhibitors (SSRIs), serotonin-norepinephrine reuptake inhibitors (SNRIs), tricyclic antidepressants (TCAs), mono-amine oxidase inhibitors (MAOIs) and benzodiazepines (BDZs) and placebo) according to their effectiveness and acceptability. To explore heterogeneity and inconsistency between direct and indirect evidence in a network meta-analysis. SEARCH METHODS: We searched the Cochrane Common Mental Disorders Specialised Register, CENTRAL, CDSR, MEDLINE, Ovid Embase and PsycINFO to 26 May 2022. SELECTION CRITERIA: We included randomised controlled trials (RCTs) of people aged 18 years or older of either sex and any ethnicity with clinically diagnosed panic disorder, with or without agoraphobia. We included trials that compared the effectiveness of antidepressants and benzodiazepines with each other or with a placebo. DATA COLLECTION AND ANALYSIS: Two authors independently screened titles/abstracts and full texts, extracted data and assessed risk of bias. We analysed dichotomous data and continuous data as risk ratios (RRs), mean differences (MD) or standardised mean differences (SMD): response to treatment (i.e. substantial improvement from baseline as defined by the original investigators: dichotomous outcome), total number of dropouts due to any reason (as a proxy measure of treatment acceptability: dichotomous outcome), remission (i.e. satisfactory end state as defined by global judgement of the original investigators: dichotomous outcome), panic symptom scales and global judgement (continuous outcome), frequency of panic attacks (as recorded, for example, by a panic diary; continuous outcome), agoraphobia (dichotomous outcome). We assessed the certainty of evidence using threshold analyses. MAIN RESULTS: Overall, we included 70 trials in this review. Sample sizes ranged between 5 and 445 participants in each arm, and the total sample size per study ranged from 10 to 1168. Thirty-five studies included sample sizes of over 100 participants. There is evidence from 48 RCTs (N = 10,118) that most medications are more effective in the response outcome than placebo. In particular, diazepam, alprazolam, clonazepam, paroxetine, venlafaxine, clomipramine, fluoxetine and adinazolam showed the strongest effect, with diazepam, alprazolam and clonazepam ranking as the most effective. We found heterogeneity in most of the comparisons, but our threshold analyses suggest that this is unlikely to impact the findings of the network meta-analysis. Results from 64 RCTs (N = 12,310) suggest that most medications are associated with either a reduced or similar risk of dropouts to placebo. Alprazolam and diazepam were associated with a lower dropout rate compared to placebo and were ranked as the most tolerated of all the medications examined. Thirty-two RCTs (N = 8569) were included in the remission outcome. Most medications were more effective than placebo, namely desipramine, fluoxetine, clonazepam, diazepam, fluvoxamine, imipramine, venlafaxine and paroxetine, and their effects were clinically meaningful. Amongst these medications, desipramine and alprazolam were ranked highest. Thirty-five RCTs (N = 8826) are included in the continuous outcome reduction in panic scale scores. Brofaromine, clonazepam and reboxetine had the strongest reductions in panic symptoms compared to placebo, but results were based on either one trial or very small trials. Forty-one RCTs (N = 7853) are included in the frequency of panic attack outcome. Only clonazepam and alprazolam showed a strong reduction in the frequency of panic attacks compared to placebo, and were ranked highest. Twenty-six RCTs (N = 7044) provided data for agoraphobia. The strongest reductions in agoraphobia symptoms were found for citalopram, reboxetine, escitalopram, clomipramine and diazepam, compared to placebo. For the pooled intervention classes, we examined the two primary outcomes (response and dropout). The classes of medication were: SSRIs, SNRIs, TCAs, MAOIs and BDZs. For the response outcome, all classes of medications examined were more effective than placebo. TCAs as a class ranked as the most effective, followed by BDZs and MAOIs. SSRIs as a class ranked fifth on average, while SNRIs were ranked lowest. When we compared classes of medication with each other for the response outcome, we found no difference between classes. Comparisons between MAOIs and TCAs and between BDZs and TCAs also suggested no differences between these medications, but the results were imprecise. For the dropout outcome, BDZs were the only class associated with a lower dropout compared to placebo and were ranked first in terms of tolerability. The other classes did not show any difference in dropouts compared to placebo. In terms of ranking, TCAs are on average second to BDZs, followed by SNRIs, then by SSRIs and lastly by MAOIs. BDZs were associated with lower dropout rates compared to SSRIs, SNRIs and TCAs. The quality of the studies comparing antidepressants with placebo was moderate, while the quality of the studies comparing BDZs with placebo and antidepressants was low. AUTHORS' CONCLUSIONS: In terms of efficacy, SSRIs, SNRIs (venlafaxine), TCAs, MAOIs and BDZs may be effective, with little difference between classes. However, it is important to note that the reliability of these findings may be limited due to the overall low quality of the studies, with all having unclear or high risk of bias across multiple domains. Within classes, some differences emerged. For example, amongst the SSRIs paroxetine and fluoxetine seem to have stronger evidence of efficacy than sertraline. Benzodiazepines appear to have a small but significant advantage in terms of tolerability (incidence of dropouts) over other classes.

Commentary/Response: Economic evidence should be routinely collected and reported for studies of intervention effectiveness in mental health. A commentary on Vartiainen et al. (2022).

Anxiety and related disorders are increasingly widespread amongst children and adolescents. Preventing mental health disorders from developing has the potential to realise long-term benefits for children and adolescents. In their paper, 'Economic evidence of preventive interventions for anxiety disorders in children and adolescents-a systematic review', Vartiainen et al. conducted a systematic review to examine economic evidence of interventions for the primary prevention of anxiety disorders in children and adolescents, under 18 years of age. Five articles were eligible for inclusion in the review, of which two were model-based economic evaluations and three conducted alongside randomised controlled trials (RCTs). All five papers used either a cost-effectiveness analysis (CEA) or cost-utility analysis (CUA) as their main analysis. Vartiainen et al. concluded that, due to the small number of studies and relatively small sample sizes, the evidence for the cost-effectiveness of anxiety prevention interventions is weak. In this commentary, the challenges of conducting economic evaluations for prevention interventions are briefly outlined and Vartiainen et al.'s findings are discussed in the context of two further reviews of economic studies, published in 2021. The first focuses on the prevention of anxiety and depression in children and young people and the second takes a broader perspective and also includes interventions for mental health promotion. Both additional reviews note the small number of published economic evaluations, and all three reviews are united in their call for economic evaluations to be conducted alongside all future mental health prevention intervention trials.

Individual-, family- and school-based interventions to prevent multiple risk behaviours relating to alcohol, tobacco and drug use in young people aged 8-25 years: a systematic review and meta-analysis.

BACKGROUND: Engagement in multiple substance use risk behaviours such as tobacco smoking, alcohol and drug use during adolescence can result in adverse health and social outcomes. The impact of interventions that address multiple substance use risk behaviours, and the differential impact of universal versus targeted approaches, is unclear given findings from systematic reviews have been mixed. Our objective was to assess effects of interventions targeting multiple substance use behaviours in adolescents. METHODS: Eight databases were searched to October 2019. Individual and cluster randomised controlled trials were included if they addressed two or more substance use behaviours in individuals aged 8-25 years. Data were pooled in random-effects meta-analyses, reported by intervention and setting. Quality of evidence was assessed using GRADE. Heterogeneity was assessed using between-study variance, τ2 and Ι2, and the p-value of between-study heterogeneity statistic Q. Sensitivity analyses were undertaken using the highest and lowest intra-cluster correlation coefficient (ICC). RESULTS: Of 66 included studies, most were universal (n=52) and school-based (n=41). We found moderate quality evidence that universal school-based interventions are likely to have little or no short-term benefit (up to 12 months) in relation to alcohol use (OR 0.94, 95% CI: 0.84, 1.04), tobacco use (OR 0.98, 95% CI: 0.83, 1.15), cannabis use (OR 1.06, 95% CI: 0.86, 1.31) and other illicit drug use (OR 1.09, 95% CI: 0.85, 1.39). For targeted school-level interventions, there was low quality evidence of no or a small short-term benefit: alcohol use (OR 0.90, 95% CI: 0.74-1.09), tobacco use (OR 0.86, 95% CI: 0.66, 1.11), cannabis use (OR 0.84, 95% CI: 0.66-1.07) and other illicit drug use (OR 0.79, 95% CI 0.62-1.02). There were too few family-level (n=4), individual-level (n=2) and combination level (n=5) studies to draw confident conclusions. Sensitivity analyses of ICC did not change results. CONCLUSIONS: There is low to moderate quality evidence that universal and targeted school-level interventions have no or a small beneficial effect for preventing substance use multiple risk behaviours in adolescents. Higher quality trials and study reporting would allow better evidence syntheses, which is needed given small benefit of universal interventions can have high public health benefit. TRIAL REGISTRATION: Cochrane Database of Systematic Reviews 2014, Issue 11. Art. No.: CD011374. DOI: 10.1002/14651858.CD011374.

Cost-Effectiveness Analysis of Smoking Cessation Interventions in the United Kingdom Accounting for Major Neuropsychiatric Adverse Events.

OBJECTIVES: Smoking is a leading cause of death worldwide. Cessation aids include varenicline, bupropion, nicotine replacement therapy (NRT), and e-cigarettes at various doses (low, standard and high) and used alone or in combination with each other. Previous cost-effectiveness analyses have not fully accounted for adverse effects nor compared all cessation aids. The objective was to determine the relative cost-effectiveness of cessation aids in the United Kingdom. METHODS: An established Markov cohort model was adapted to incorporate health outcomes and costs due to depression and self-harm associated with cessation aids, alongside other health events. Relative efficacy in terms of abstinence and major adverse neuropsychiatric events was informed by a systematic review and network meta-analysis. Base case results are reported for UK-licensed interventions only. Two sensitivity analyses are reported, one including unlicensed interventions and another comparing all cessation aids but removing the impact of depression and self-harm. The sensitivity of conclusions to model inputs was assessed by calculating the expected value of partial perfect information. RESULTS: When limited to UK-licensed interventions, varenicline standard-dose and NRT standard-dose were most cost-effective. Including unlicensed interventions, e-cigarette low-dose appeared most cost-effective followed by varenicline standard-dose + bupropion standard-dose combined. When the impact of depression and self-harm was excluded, varenicline standard-dose + NRT standard-dose was most cost-effective, followed by varenicline low-dose + NRT standard-dose. CONCLUSION: Although found to be most cost-effective, combined therapy is currently unlicensed in the United Kingdom and the safety of e-cigarettes remains uncertain. The value-of-information analysis suggested researchers should continue to investigate the long-term effectiveness and safety outcomes of e-cigarettes in studies with active comparators.

Which treatment is most effective for patients with Achilles tendinopathy? A living systematic review with network meta-analysis of 29 randomised controlled trials.

OBJECTIVE: To provide a consistently updated overview of the comparative effectiveness of treatments for Achilles tendinopathy. DESIGN: Living systematic review and network meta-analysis. DATA SOURCES: Multiple databases including grey literature sources were searched up to February 2019. STUDY ELIGIBILITY CRITERIA: Randomised controlled trials examining the effectiveness of any treatment in patients with both insertional and/or midportion Achilles tendinopathy. We excluded trials with 10 or fewer participants per treatment arm or trials investigating tendon ruptures. DATA EXTRACTION AND SYNTHESIS: Reviewers independently extracted data and assessed the risk of bias. We used the Grading of Recommendations Assessment, Development and Evaluation to appraise the certainty of evidence. PRIMARY OUTCOME MEASURE: The validated patient-reported Victorian Institute of Sport Assessment-Achilles questionnaire. RESULTS: 29 trials investigating 42 different treatments were included. 22 trials (76%) were at high risk of bias and 7 (24%) had some concerns. Most trials included patients with midportion tendinopathy (86%). Any treatment class seemed superior to wait-and-see for midportion Achilles tendinopathy at 3 months (very low to low certainty of evidence). At 12 months, exercise therapy, exercise+injection therapy and exercise+night splint therapy were all comparable with injection therapy for midportion tendinopathy (very low to low certainty). No network meta-analysis could be performed for insertional Achilles tendinopathy. SUMMARY/CONCLUSION: In our living network meta-analysis no trials were at low risk of bias and there was large uncertainty in the comparative estimates. For midportion Achilles tendinopathy, wait-and-see is not recommended as all active treatments seemed superior at 3-month follow-up. There seems to be no clinically relevant difference in effectiveness between different active treatments at either 3-month or 12-month follow-up. As exercise therapy is easy to prescribe, can be of low cost and has few harms, clinicians could consider starting treatment with a calf-muscle exercise programme. PROSPERO REGISTRATION NUMBER: CRD42018086467.

Cost-Effectiveness of Different Formats for Delivery of Cognitive Behavioral Therapy for Depression: A Systematic Review Based Economic Model.

OBJECTIVES: Cognitive behavioral therapy (CBT) is an effective treatment for depression. Different CBT delivery formats (face-to-face [F2F], multimedia, and hybrid) and intensities have been used to expand access to the treatment. The aim of this study is to estimate the long-term cost-effectiveness of different CBT delivery modes. METHODS: A decision-analytic model was developed to evaluate the cost-effectiveness of different CBT delivery modes and variations in intensity in comparison with treatment as usual (TAU). The model covered an average treatment period of 4 months with a 5-year follow-up period. The model was populated using a systematic review of randomized controlled trials and various sources from the literature. RESULTS: Incremental cost-effectiveness ratios of treatments compared with the next best option after excluding all the dominated and extended dominated options are: £209/quality-adjusted life year (QALY) for 6 (sessions) × 30 (minutes) F2F-CBT versus TAU; £4 453/QALY for 8 × 30 F2F versus 6 × 30 F2F; £12 216/QALY for 8 × 60 F2F versus 8 × 30 F2F; and £43 072/QALY for 16 × 60 F2F versus 8 × 60 F2F. The treatment with the highest net monetary benefit for thresholds of £20 000 to £30 000/QALY was 8 × 30 F2F-CBT. Probabilistic sensitivity analysis illustrated 6 × 30 F2F-CBT had the highest probability (32.8%) of being cost-effective at £20 000/QALY; 16 × 60 F2F-CBT had the highest probability (31.0%) at £30 000/QALY. CONCLUSIONS: All CBT delivery modes on top of TAU were found to be more cost-effective than TAU alone. Four F2F-CBT options (6 × 30, 8 × 30, 8 × 60, 16 × 60) are on the cost-effectiveness frontier. F2F-CBT with intensities of 6 × 30 and 16 × 60 had the highest probabilities of being cost-effective. The results, however, should be interpreted with caution owing to the high level of uncertainty.

Threshold Analysis as an Alternative to GRADE for Assessing Confidence in Guideline Recommendations Based on Network Meta-analyses.

Guideline development requires the synthesis of evidence on several treatments of interest, typically by using network meta-analysis (NMA). Because treatment effects may be estimated imprecisely or be based on evidence lacking internal or external validity, guideline developers must assess the robustness of recommendations made on the basis of the NMA to potential limitations in the evidence. Such limitations arise because the observed estimates differ from the true effects of interest, for example, because of study biases, sampling variation, or issues of relevance. The widely used GRADE (Grading of Recommendations Assessment, Development and Evaluation) framework aims to assess the quality of evidence supporting a recommendation by using a structured series of qualitative judgments. This article argues that GRADE approaches proposed for NMA are insufficient for the purposes of guideline development, because the influence of the evidence on the final recommendation is not taken into account. It outlines threshold analysis as an alternative approach, demonstrating the method with 2 examples of clinical guidelines from the National Institute for Health and Care Excellence (NICE) in the United Kingdom. Threshold analysis quantifies precisely how much the evidence could change (for any reason, such as potential biases, or simply sampling variation) before the recommendation changes, and what the revised recommendation would be. If it is judged that the evidence could not plausibly change by more than this amount, then the recommendation is considered robust; otherwise, it is sensitive to plausible changes in the evidence. In this manner, threshold analysis directly informs decision makers and guideline developers of the robustness of treatment recommendations.

Comparative effectiveness of treatments for patellofemoral pain: a living systematic review with network meta-analysis.

OBJECTIVE: To investigate the comparative effectiveness of all treatments for patellofemoral pain (PFP). DESIGN: Living systematic review with network meta-analysis (NMA). DATA SOURCES: Sensitive search in seven databases, three grey literature resources and four trial registers. ELIGIBILITY CRITERIA: Randomised controlled trials evaluating any treatment for PFP with outcomes 'any improvement', and pain intensity. DATA EXTRACTION: Two reviewers independently extracted data and assessed risk of bias with Risk of Bias Tool V.2. We used Grading of Recommendations, Assessment, Development and Evaluation to appraise the strength of the evidence. PRIMARY OUTCOME MEASURE: 'Any improvement' measured with a Global Rating of Change Scale. RESULTS: Twenty-two trials (with forty-eight treatment arms) were included, of which approximately 10 (45%) were at high risk of bias for the primary outcome. Most comparisons had a low to very low strength of the evidence. All treatments were better than wait and see for any improvement at 3 months (education (OR 9.6, 95% credible interval (CrI): 2.2 to 48.8); exercise (OR 13.0, 95% CrI: 2.4 to 83.5); education+orthosis (OR 16.5, 95% CrI: 4.9 to 65.8); education+exercise+patellar taping/mobilisations (OR 25.2, 95% CrI: 5.7 to 130.3) and education+exercise+patellar taping/mobilisations+orthosis (OR 38.8, 95% CrI: 7.3 to 236.9)). Education+exercise+patellar taping/mobilisations, with (OR 4.0, 95% CrI: 1.5 to 11.8) or without orthosis (OR 2.6, 95% CrI: 1.7 to 4.2), were superior to education alone. At 12 months, education or education+any combination yielded similar improvement rates. SUMMARY/CONCLUSION: Education combined with a physical treatment (exercise, orthoses or patellar taping/mobilisation) is most likely to be effective at 3 months. At 12 months, education appears comparable to education with a physical treatment. There was insufficient evidence to recommend a specific type of physical treatment over another. All treatments in our NMA were superior to wait and see at 3 months, and we recommend avoiding a wait-and-see approach. PROSPERO REGISTERATION NUMBER: PROSPERO registration CRD42018079502.

The process and delivery of CBT for depression in adults: a systematic review and network meta-analysis.

Cognitive-behavioural therapy (CBT) is an effective treatment for depressed adults. CBT interventions are complex, as they include multiple content components and can be delivered in different ways. We compared the effectiveness of different types of therapy, different components and combinations of components and aspects of delivery used in CBT interventions for adult depression. We conducted a systematic review of randomised controlled trials in adults with a primary diagnosis of depression, which included a CBT intervention. Outcomes were pooled using a component-level network meta-analysis. Our primary analysis classified interventions according to the type of therapy and delivery mode. We also fitted more advanced models to examine the effectiveness of each content component or combination of components. We included 91 studies and found strong evidence that CBT interventions yielded a larger short-term decrease in depression scores compared to treatment-as-usual, with a standardised difference in mean change of -1.11 (95% credible interval -1.62 to -0.60) for face-to-face CBT, -1.06 (-2.05 to -0.08) for hybrid CBT, and -0.59 (-1.20 to 0.02) for multimedia CBT, whereas wait list control showed a detrimental effect of 0.72 (0.09 to 1.35). We found no evidence of specific effects of any content components or combinations of components. Technology is increasingly used in the context of CBT interventions for depression. Multimedia and hybrid CBT might be as effective as face-to-face CBT, although results need to be interpreted cautiously. The effectiveness of specific combinations of content components and delivery formats remain unclear. Wait list controls should be avoided if possible.

The effects of interactive training of healthcare providers on the management of life-threatening emergencies in hospital.

BACKGROUND: Preparing healthcare providers to manage relatively rare life-threatening emergency situations effectively is a challenge. Training sessions enable staff to rehearse for these events and are recommended by several reports and guidelines. In this review we have focused on interactive training, this includes any element where the training is not solely didactic but provides opportunity for discussions, rehearsals, or interaction with faculty or technology. It is important to understand the effective methods and essential elements for successful emergency training so that resources can be appropriately targeted to improve outcomes. OBJECTIVES: To assess the effects of interactive training of healthcare providers on the management of life-threatening emergencies in hospital on patient outcomes, clinical care practices, or organisational practices, and to identify essential components of effective interactive emergency training programmes. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, CINAHL and ERIC and two trials registers up to 11 March 2019. We searched references of included studies, conference proceedings, and contacted study authors. SELECTION CRITERIA: We included randomised trials and cluster-randomised trials comparing interactive training for emergency situations with standard/no training. We defined emergency situations as those in which immediate lifesaving action is required, for example cardiac arrests and major haemorrhage. We included all studies where healthcare workers involved in providing direct clinical care were participants. We excluded studies outside of a hospital setting or where the intervention was not targeted at practicing healthcare workers. We included trials irrespective of publication status, date, and language. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane and Cochrane Effective Practice and Organisation of Care (EPOC) Group. Two review authors independently extracted data and assessed the risk of bias of each included trial. Due to the small number of studies and the heterogeneity in outcome measures, we were unable to perform the planned meta-analysis. We provide a structured synthesis for the following outcomes: survival to hospital discharge, morbidity rate, protocol or guideline adherence, patient outcomes, clinical practice outcomes, and organisation-of-care outcomes. We used the GRADE approach to rate the certainty of the evidence and the strength of recommendations for each outcome. MAIN RESULTS: We included 11 studies that reported on 2000 healthcare providers and over 300,000 patients; one study did not report the number of participants. Seven were cluster randomised trials and four were single centre studies. Four studies focused on obstetric training, three on obstetric and neonatal care, two on neonatal training, one on trauma and one on general resuscitations. The studies were spread across high-, middle- and low-income settings.Interactive training may make little or no difference in survival to hospital discharge for patients requiring resuscitation (1 study; 30 participants; 98 events; low-certainty evidence). We are uncertain if emergency training changes morbidity rate, as the certainty of the evidence is very low (3 studies; 1778 participants; 57,193 patients, when reported). We are uncertain if training alters healthcare providers' adherence to clinical protocols or guidelines, as the certainty of the evidence is very low (3 studies; 156 participants; 558 patients). We are uncertain if there were improvements in patient outcomes following interactive training for emergency situations, as we assessed the evidence as very low-certainty (5 studies, 951 participants; 314,055 patients). We are uncertain if training for emergency situations improves clinical practice outcomes as the certainty of the evidence is very low (4 studies; 1417 participants; 28,676 patients, when reported). Two studies reported organisation-of-care outcomes, we are uncertain if interactive emergency training has any effect on this outcome as the certainty of the evidence is very low (634 participants; 179,400 patient population).We examined prespecified subgroups and found no clear commonalities in effect of multidisciplinary training, location of training, duration of the course, or duration of follow-up. We also examined areas arising from the studies including focus of training, proportion of staff trained, leadership of intervention, and incentive/trigger to participate, and again identified no clear mediating factors. The sources of funding for the studies were governmental, local organisations, or philanthropic donors. AUTHORS' CONCLUSIONS: We are uncertain if there are any benefits of interactive training of healthcare providers on the management of life-threatening emergencies in hospital as the certainty of the evidence is very low. We were unable to identify any factors that may have allowed us to identify an essential element of these interactive training courses.We found a lack of consistent reporting, which contributed to the inability to meta-analyse across specialities. More trials are required to build the evidence base for the optimum way to prepare healthcare providers for rare life-threatening emergency events. These trials need to be conducted with attention to outcomes important to patients, healthcare providers, and policymakers. It is vitally important to develop high-quality studies adequately powered and with attention to minimising the risk of bias.

Educational interventions for improving primary caregiver complementary feeding practices for children aged 24 months and under.

BACKGROUND: Although complementary feeding is a universal practice, the methods and manner in which it is practiced vary between cultures, individuals and socioeconomic classes. The period of complementary feeding is a critical time of transition in the life of an infant, and inappropriate complementary feeding practices, with their associated adverse health consequences, remain a significant global public health problem. Educational interventions are widely acknowledged as effective in promoting public health strategy, and those aimed at improving complementary feeding practices provide information about proper complementary feeding practices to caregivers of infants/children. It is therefore important to summarise evidence on the effectiveness of educational interventions to improve the complementary feeding practices of caregivers of infants. OBJECTIVES: To assess the effectiveness of educational interventions for improving the complementary feeding (weaning) practices of primary caregivers of children of complementary feeding age, and related health and growth outcomes in infants. SEARCH METHODS: In November 2017, we searched CENTRAL, MEDLINE, Embase, 10 other databases and two trials registers. We also searched the reference lists of relevant studies and reviews to identify any additional studies. We did not limit the searches by date, language or publication status. SELECTION CRITERIA: Randomised controlled trials (RCTs), comparing educational interventions to no intervention, usual practice, or educational interventions provided in conjunction with another intervention, so long as the educational intervention was only available in the experimental group and the adjunctive intervention was available to the control group. Study participants included caregivers of infants aged 4 to 24 months undergoing complementary feeding. Pregnant women who were expected to give birth and commence complementary feeding during the period of the study were also included. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data on participants, settings, interventions, methodology and outcomes using a specifically-developed and piloted data extraction form. We calculated risk ratios (RR) and 95% confidence intervals (CIs) for dichotomous data, and mean differences (MD) and 95% CIs for continuous data. Where data permitted, we conducted a meta-analysis using a random-effects model. We assessed the included studies for risk of bias and also assessed the quality of evidence using the GRADE approach. MAIN RESULTS: We included 23 studies (from 35 reports) with a total of 11,170 caregiver-infant pairs who were randomly assigned to receive an educational intervention delivered to the caregiver or usual care. Nineteen of the included studies were community-based studies while four were facility-based studies. In addition, 13 of the included studies were cluster-randomised while the others were individually randomised. Generally, the interventions were focused on the introduction of complementary feeding at the appropriate time, the types and amount of complementary foods to be fed to infants, and hygiene. Using the GRADE criteria, we assessed the quality of the evidence as moderate, mostly due to inadequate allocation concealment and insufficient blinding.Educational interventions led to improvements in complementary feeding practices for age at introduction of complementary foods (average RR 0.88, 95% CI 0.83 to 0.94; 4 studies, 1738 children; moderate-quality evidence) and hygiene practices (average RR 1.38, 95% CI 1.23 to 1.55; 4 studies, 2029 participants; moderate-quality evidence). For duration of exclusive breastfeeding, pooled results were compatible with both a reduction and an increase in the outcome (average RR 1.58, 95% CI 0.77 to 3.22; 3 studies, 1544 children; very low-quality evidence). There was limited (low to very low-quality) evidence of an effect for all growth outcomes.Quality of evidenceThere is moderate to very low-quality evidence that educational interventions can improve complementary feeding practices but insufficient evidence to conclude that it impacts growth outcomes. AUTHORS' CONCLUSIONS: Overall, we found evidence that education improves complementary feeding practices.

Individual-, family-, and school-level interventions targeting multiple risk behaviours in young people.

BACKGROUND: Engagement in multiple risk behaviours can have adverse consequences for health during childhood, during adolescence, and later in life, yet little is known about the impact of different types of interventions that target multiple risk behaviours in children and young people, or the differential impact of universal versus targeted approaches. Findings from systematic reviews have been mixed, and effects of these interventions have not been quantitatively estimated. OBJECTIVES: To examine the effects of interventions implemented up to 18 years of age for the primary or secondary prevention of multiple risk behaviours among young people. SEARCH METHODS: We searched 11 databases (Australian Education Index; British Education Index; Campbell Library; Cumulative Index to Nursing and Allied Health Literature (CINAHL); Cochrane Central Register of Controlled Trials (CENTRAL), in the Cochrane Library; Embase; Education Resource Information Center (ERIC); International Bibliography of the Social Sciences; MEDLINE; PsycINFO; and Sociological Abstracts) on three occasions (2012, 2015, and 14 November 2016)). We conducted handsearches of reference lists, contacted experts in the field, conducted citation searches, and searched websites of relevant organisations. SELECTION CRITERIA: We included randomised controlled trials (RCTs), including cluster RCTs, which aimed to address at least two risk behaviours. Participants were children and young people up to 18 years of age and/or parents, guardians, or carers, as long as the intervention aimed to address involvement in multiple risk behaviours among children and young people up to 18 years of age. However, studies could include outcome data on children > 18 years of age at the time of follow-up. Specifically,we included studies with outcomes collected from those eight to 25 years of age. Further, we included only studies with a combined intervention and follow-up period of six months or longer. We excluded interventions aimed at individuals with clinically diagnosed disorders along with clinical interventions. We categorised interventions according to whether they were conducted at the individual level; the family level; or the school level. DATA COLLECTION AND ANALYSIS: We identified a total of 34,680 titles, screened 27,691 articles and assessed 424 full-text articles for eligibility. Two or more review authors independently assessed studies for inclusion in the review, extracted data, and assessed risk of bias.We pooled data in meta-analyses using a random-effects (DerSimonian and Laird) model in RevMan 5.3. For each outcome, we included subgroups related to study type (individual, family, or school level, and universal or targeted approach) and examined effectiveness at up to 12 months' follow-up and over the longer term (> 12 months). We assessed the quality and certainty of evidence using the Grades of Recommendation, Assessment, Development and Evaluation (GRADE) approach. MAIN RESULTS: We included in the review a total of 70 eligible studies, of which a substantial proportion were universal school-based studies (n = 28; 40%). Most studies were conducted in the USA (n = 55; 79%). On average, studies aimed to prevent four of the primary behaviours. Behaviours that were most frequently addressed included alcohol use (n = 55), drug use (n = 53), and/or antisocial behaviour (n = 53), followed by tobacco use (n = 42). No studies aimed to prevent self-harm or gambling alongside other behaviours.Evidence suggests that for multiple risk behaviours, universal school-based interventions were beneficial in relation to tobacco use (odds ratio (OR) 0.77, 95% confidence interval (CI) 0.60 to 0.97; n = 9 studies; 15,354 participants) and alcohol use (OR 0.72, 95% CI 0.56 to 0.92; n = 8 studies; 8751 participants; both moderate-quality evidence) compared to a comparator, and that such interventions may be effective in preventing illicit drug use (OR 0.74, 95% CI 0.55 to 1.00; n = 5 studies; 11,058 participants; low-quality evidence) and engagement in any antisocial behaviour (OR 0.81, 95% CI 0.66 to 0.98; n = 13 studies; 20,756 participants; very low-quality evidence) at up to 12 months' follow-up, although there was evidence of moderate to substantial heterogeneity (I² = 49% to 69%). Moderate-quality evidence also showed that multiple risk behaviour universal school-based interventions improved the odds of physical activity (OR 1.32, 95% CI 1.16 to 1.50; I² = 0%; n = 4 studies; 6441 participants). We considered observed effects to be of public health importance when applied at the population level. Evidence was less certain for the effects of such multiple risk behaviour interventions for cannabis use (OR 0.79, 95% CI 0.62 to 1.01; P = 0.06; n = 5 studies; 4140 participants; I² = 0%; moderate-quality evidence), sexual risk behaviours (OR 0.83, 95% CI 0.61 to 1.12; P = 0.22; n = 6 studies; 12,633 participants; I² = 77%; low-quality evidence), and unhealthy diet (OR 0.82, 95% CI 0.64 to 1.06; P = 0.13; n = 3 studies; 6441 participants; I² = 49%; moderate-quality evidence). It is important to note that some evidence supported the positive effects of universal school-level interventions on three or more risk behaviours.For most outcomes of individual- and family-level targeted and universal interventions, moderate- or low-quality evidence suggests little or no effect, although caution is warranted in interpretation because few of these studies were available for comparison (n ≤ 4 studies for each outcome).Seven studies reported adverse effects, which involved evidence suggestive of increased involvement in a risk behaviour among participants receiving the intervention compared to participants given control interventions.We judged the quality of evidence to be moderate or low for most outcomes, primarily owing to concerns around selection, performance, and detection bias and heterogeneity between studies. AUTHORS' CONCLUSIONS: Available evidence is strongest for universal school-based interventions that target multiple- risk behaviours, demonstrating that they may be effective in preventing engagement in tobacco use, alcohol use, illicit drug use, and antisocial behaviour, and in improving physical activity among young people, but not in preventing other risk behaviours. Results of this review do not provide strong evidence of benefit for family- or individual-level interventions across the risk behaviours studied. However, poor reporting and concerns around the quality of evidence highlight the need for high-quality multiple- risk behaviour intervention studies to further strengthen the evidence base in this field.

The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations.

The PRISMA statement is a reporting guideline designed to improve the completeness of reporting of systematic reviews and meta-analyses. Authors have used this guideline worldwide to prepare their reviews for publication. In the past, these reports typically compared 2 treatment alternatives. With the evolution of systematic reviews that compare multiple treatments, some of them only indirectly, authors face novel challenges for conducting and reporting their reviews. This extension of the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) statement was developed specifically to improve the reporting of systematic reviews incorporating network meta-analyses. A group of experts participated in a systematic review, Delphi survey, and face-to-face discussion and consensus meeting to establish new checklist items for this extension statement. Current PRISMA items were also clarified. A modified, 32-item PRISMA extension checklist was developed to address what the group considered to be immediately relevant to the reporting of network meta-analyses. This document presents the extension and provides examples of good reporting, as well as elaborations regarding the rationale for new checklist items and the modification of previously existing items from the PRISMA statement. It also highlights educational information related to key considerations in the practice of network meta-analysis. The target audience includes authors and readers of network meta-analyses, as well as journal editors and peer reviewers.

Extending Treatment Networks in Health Technology Assessment: How Far Should We Go?

BACKGROUND: Network meta-analysis may require substantially more resources than does a standard systematic review. One frequently asked question is "how far should I extend the network and which treatments should I include?" OBJECTIVE: To explore the increase in precision from including additional evidence. METHODS: We assessed the benefit of extending treatment networks in terms of precision of effect estimates and examined how this depends on network structure and relative strength of additional evidence. We introduced a "star"-shaped network. Network complexity is increased by adding more evidence connecting treatments under five evidence scenarios. We also examined the impact of heterogeneity and absence of evidence facilitating a "first-order" indirect comparison. RESULTS: In all scenarios, extending the network increased the precision of the A versus B treatment effect. Under a fixed-effect model, the increase in precision was modest when the existing direct A versus B evidence was already strong and was substantial when the direct evidence was weak. Under a random-effects model, the gain in precision was lower when heterogeneity was high. When evidence is available for all "first-order" indirect comparisons, including second-order evidence has limited benefit for the precision of the A versus B estimate. This is interpreted as a "ceiling effect." CONCLUSIONS: Including additional evidence increases the precision of a "focal" treatment comparison of interest. Once the comparison of interest is connected to all others via "first-order" indirect evidence, there is no additional benefit in including higher order comparisons. This conclusion is generalizable to any number of treatment comparisons, which would then all be considered "focal." The increase in precision is modest when direct evidence is already strong, or there is a high degree of heterogeneity.

Twenty years of network meta-analysis: Continuing controversies and recent developments.

Network meta-analysis (NMA) is an extension of pairwise meta-analysis (PMA) which combines evidence from trials on multiple treatments in connected networks. NMA delivers internally consistent estimates of relative treatment efficacy, needed for rational decision making. Over its first 20 years NMA's use has grown exponentially, with applications in both health technology assessment (HTA), primarily re-imbursement decisions and clinical guideline development, and clinical research publications. This has been a period of transition in meta-analysis, first from its roots in educational and social psychology, where large heterogeneous datasets could be explored to find effect modifiers, to smaller pairwise meta-analyses in clinical medicine on average with less than six studies. This has been followed by narrowly-focused estimation of the effects of specific treatments at specific doses in specific populations in sparse networks, where direct comparisons are unavailable or informed by only one or two studies. NMA is a powerful and well-established technique but, in spite of the exponential increase in applications, doubts about the reliability and validity of NMA persist. Here we outline the continuing controversies, and review some recent developments. We suggest that heterogeneity should be minimized, as it poses a threat to the reliability of NMA which has not been fully appreciated, perhaps because it has not been seen as a problem in PMA. More research is needed on the extent of heterogeneity and inconsistency in datasets used for decision making, on formal methods for making recommendations based on NMA, and on the further development of multi-level network meta-regression.

Behavioural therapies versus other psychological therapies for depression.

BACKGROUND: Behavioural therapies represent one of several categories of psychological therapies that are currently used in the treatment of depression. However, the effectiveness and acceptability of behavioural therapies for depression compared with other psychological therapies remain unclear. OBJECTIVES: 1. To examine the effects of all BT approaches compared with all other psychological therapy approaches for acute depression.2. To examine the effects of different BT approaches (behavioural therapy, behavioural activation, social skills training and relaxation training) compared with all other psychological therapy approaches for acute depression.3. To examine the effects of all BT approaches compared with different psychological therapy approaches (CBT, third wave CBT, psychodynamic, humanistic and integrative psychological therapies) for acute depression. SEARCH METHODS: We searched the Cochrane Depression Anxiety and Neurosis Group Trials Specialised Register (CCDANCTR, 31/07/2013), which includes relevant randomised controlled trials from The Cochrane Library (all years), EMBASE, (1974-), MEDLINE (1950-) and PsycINFO (1967-). We also searched CINAHL (May 2010) and PSYNDEX (June 2010) and reference lists of the included studies and relevant reviews for additional published and unpublished studies. SELECTION CRITERIA: Randomised controlled trials that compared behavioural therapies with other psychological therapies for acute depression in adults. DATA COLLECTION AND ANALYSIS: Two or more review authors independently identified studies, assessed trial quality and extracted data. We contacted study authors for additional information. MAIN RESULTS: Twenty-five trials involving 955 participants compared behavioural therapies with one or more of five other major categories of psychological therapies (cognitive-behavioural, third wave cognitive-behavioural, psychodynamic, humanistic and integrative therapies). Most studies had a small sample size and were assessed as being at unclear or high risk of bias. Compared with all other psychological therapies together, behavioural therapies showed no significant difference in response rate (18 studies, 690 participants, risk ratio (RR) 0.97, 95% confidence interval (CI) 0.86 to 1.09) or in acceptability (15 studies, 495 participants, RR of total dropout rate 1.02, 95% CI 0.65 to 1.61). Similarly, in comparison with each of the other classes of psychological therapies, low-quality evidence showed better response to cognitive-behavioural therapies than to behavioural therapies (15 studies, 544 participants, RR 0.93, 95% CI 0.83 to 1.05) and low-quality evidence of better response to behavioural therapies over psychodynamic therapies (2 studies, 110 participants, RR 1.24, 95% CI 0.84 to 1.82).When compared with integrative therapies and humanistic therapies, only one study was included in each comparison, and the analysis showed no significant difference between behavioural therapies and integrative or humanistic therapies. AUTHORS' CONCLUSIONS: We found low- to moderate-quality evidence that behavioural therapies and other psychological therapies are equally effective. The current evidence base that evaluates the relative benefits and harms of behavioural therapies is very weak. This limits our confidence in both the size of the effect and its precision for our key outcomes related to response and withdrawal. Studies recruiting larger samples with improved reporting of design and fidelity to treatment would improve the quality of evidence in this review.

'Third wave' cognitive and behavioural therapies versus treatment as usual for depression.

BACKGROUND: So-called 'third wave' cognitive and behavioural therapies represent a new generation of psychological therapies that are increasingly being used in the treatment of psychological problems. However, the effectiveness and acceptability of third-wave cognitive and behavioural therapy (CBT) approaches as treatment for acute depression remain unclear. OBJECTIVES: 1. To examine the effects of all third wave CBT approaches compared with treatment as usual/waiting list/attention placebo/psychological placebo control conditions for acute depression.2. To examine the effects of different third wave CBT approaches (ACT, compassionate mind training, functional analytic psychotherapy, dialectical behaviour therapy, MBCT, extended behavioural activation and metacognitive therapy) compared with treatment as usual/waiting list/attention placebo/psychological placebo control conditions for acute depression.3. To examine the effects of all third wave CBT approaches compared with different types of comparators (treatment as usual, no treatment, waiting list, attention placebo, psychological placebo) for acute depression. SEARCH METHODS: We searched the Cochrane Depression Anxiety and Neurosis Group Trials Specialised Register (CCDANCTR to 01/01/12), which includes relevant randomised controlled trials from The Cochrane Library (all years), EMBASE, (1974-), MEDLINE (1950-) and PsycINFO (1967-). We also searched CINAHL (May 2010) and PSYNDEX (June 2010) and reference lists of the included studies and relevant reviews for additional published and unpublished studies. An updated search of CCDANCTR restricted to search terms relevant to third wave CBT therapies was conducted in March 2013 (CCDANCTR to 01/02/13). SELECTION CRITERIA: Randomised controlled trials that compared third wave CBT therapies with control conditions for acute depression in adults. DATA COLLECTION AND ANALYSIS: Two review authors independently identified studies, assessed trial quality and extracted data. Study authors were contacted for additional information when required. We rated the quality of evidence using GRADE methods. MAIN RESULTS: Four small studies (224 participants) were included in the review. Little information was provided about the process of allocating participants to groups. None of the studies used independent outcome assessors, and evidence suggested researcher allegiance towards the active treatments. The four studies examined a diversity of third wave CBT approaches (extended behavioural activation, acceptance and commitment therapy and competitive memory training) and control conditions. None of the studies conducted follow-up assessments. The results showed a significant difference in clinical response rates in favour of third wave CBT when compared with treatment as usual (TAU) conditions (three studies, 170 participants, risk ratio (RR) 0.51, 95% confidence interval (CI) 0.27 to 0.95; very low quality). No significant difference in treatment acceptability based on dropout rates was found between third wave CBT approaches and TAU (four studies, 224 participants, RR 1.01, 95% CI 0.08 to 12.30; very low quality). Both analyses showed substantial statistical heterogeneity. AUTHORS' CONCLUSIONS: Very low quality evidence suggests that third wave CBT approaches appear to be more effective than treatment as usual in the treatment of acute depression. The very small number of available studies and the diverse types of interventions and control comparators, together with methodological limitations, limit the ability to draw any conclusions on their effect in the short term or over a longer term. The increasing popularity of third wave CBT approaches in clinical practice underscores the importance of completing further studies of third wave CBT approaches in the treatment of acute depression, on a short- and long-term basis, to provide evidence of their effectiveness to policy-makers, clinicians and users of services.