A Systematic Review of Studies of the STOPP/START 2015 and American Geriatric Society Beers 2015 Criteria in Patients ≥ 65 Years.

BACKGROUND: Polypharmacy remains problematic for individuals ≥65. OBJECTIVE: To summarise the percentages of patients meeting 2015 STOPP criteria for Potentially Inappropriate Prescriptions (PIPs), 2015 Beers criteria for Potentially Inappropriate Medications (PIMs), and START criteria Potential Prescribing Omissions (PPOs). METHODS: Searches conducted on 2 January 2019 in Medline, Embase, and PubMed identified 562 studies and 62 studies were retained for review. Data were abstracted independently. RESULTS: 62 studies (n=1,854,698) included two RCTs and 60 non-randomised studies. For thirty STOPP/START studies (n=1,245,974) average percentages for ≥1 PIP weighted by study size were 42.8% for 1,242,010 community patients and 51.8% for 3,964 hospitalised patients. For nineteen Beers studies (n = 595,811) the average percentages for ≥1 PIM were 58% for 593,389 community patients and 55.5% for 2,422 hospitalised patients. For thirteen studies (n=12,913) assessing both STOPP/START and Beers criteria the average percentages for ≥1 STOPP PIP were 33.9% and Beers PIMs 46.8% for 8,238 community patients, and for ≥ 1 STOPP PIP were 42.4% and for ≥1 Beers PIM 60.5% for 4,675 hospitalised patients. Only ten studies assessed changes over time and eight found positive changes. CONCLUSION: PIP/PIM/PPO rates are high in community and hospitalised patients in many countries. RCTs are needed for interventions to: reduce new/existing PIPs/PIMs/PPO prescriptions, reduce prescriptions causing adverse effects, and enable regulatory authorities to monitor and reduce inappropriate prescriptions in real time. Substantial differences between Beers and STOPP/START assessments need to be investigated whether they are due to the criteria, differential medication availability between countries, or data availability to assess the criteria.

Systematic review of injuries in mixed martial arts.

OBJECTIVES: To assess injury rates in all mixed martial arts (MMA) studies. METHODS: Six online databases were searched until November 2017 including MEDLINE, EMBASE, CINAHL, Web of Science, PubMed, Google/Google Scholar and conference proceedings. All included studies were entered in Pub Med Single Citation Matcher and all citation chains followed. Abstracts and titles were assessed for relevance, data independently abstracted and risk of bias for all competition studies evaluated independently by two reviewers. RESULTS: There are data for 5,374 male and 108 female MMA fighters. For 2407 males the weighted average injury rate/1000Athletic Encounters (AE) was 246.4 and for one study of 108 females 101.9. One study provided data by professional status: professionals 135.5/1000AE and amateurs 71.0/1000AE. Reasons for stopping matches were knockout/technical knockout 173.9/1000AE for males and 175.9/1000AE for females, submission 228.6/1000AE, and referee's decision 98.2/1000AE. Losers can experience large amounts of trauma especially head trauma as matches terminate. Two studies of competitions provided personally conducted ringside assessments and both pre- and post-match examination results. The other studies reported retrospective assessments of fight records or videos or videos and scorecards. There are no studies of training injuries of professionals or injuries of amateurs or long-term follow-up of musculoskeletal injuries or neurological damage. Studies are limited to the US and Canada. There are no systematic reviews of newspaper or media accounts of fights to assess rates and numbers of injuries or mortality. The few published surveys and case reports markedly understate the worldwide situation. CONCLUSIONS: There are high rates of trauma in MMA. The authorities who regulate MMA and referees and physicians who monitor MMA fighters have an inadequate database to guide their work. Researchers need to adopt the same set of complete definitions of all possible injuries and measure the high and early rate of neurological damage.

Injuries in taekwando: systematic review.

OBJECTIVES: Assess rates/1000athletic encounters(AE) in Taekwondo of injuries/age/gender/type/location. METHODS: Searches in 17 electronic, 7 grey-literature databases. Two researchers independently assessed Abstracts/titles and abstracted data. Risk-of-bias assessed with Newcastle-Ottawa scale. Rates/1000AE computed, weighted by study sizes. RESULTS: Eighteen studies included 3 Olympic, 4 world, 1 European, 13 national, 10 provincial and one national school competition. Seventeen studies provided an injury definition and recorded injuries on forms. Rates are average rate/1000AE, weighted by study size. For ten studies which provided rates by gender, rate for males(n = 9,286) was 58/1000AE and females(n = 3,720) 52.7/1000AE. For six studies which provided data on injuries/1000minutes/exposure by gender rate for males(n = 6,885) was 10.7/1000minutes/exposure and for females(n = 2,539) 10.4. For two studies which provided data by age and gender, rate for males 11-13 years(n = 949) was 29.6, 14-17(n = 512) 53.1 and ≥18(n = 711) 40.7, and for females 11-13 years(n = 472) 30.5, 14-17(n = 338) 72 and ≥18(n = 240) 37.5. For eight studies which provided injury location rates by gender rate for all ages for males(n = 5,856) for head/neck injuries was 13.3, torso 4.2, upper-extremity 9.4 and lower-extremity 21.7 and females(n = 2,126) for head/neck injuries was 14.2, torso 3.1, upper-extremity 7.3 and lower-extremity 26.6. For nine studies which provided injury type rates by gender, rate for all ages for males(n = 7,509) for abrasions/contusions/lacerations was 37.5, for sprains/strains 10.3 and fractures 5.9, and for females(n = 2,852) for abrasions/contusions/lacerations 27.9, for sprains/strains 8.7 and fractures 3.8. For concussions for eight studies for males(n = 9,078) rate was 13.3 and females(n = 3628) 11.4. The majority of injuries occurred to the lower extremities, and in defence (61%). CONCLUSIONS: There are published data on 20,210 Taekweondo competitors. Only 8/18 studies reported prior injuries. Longitudinal studies are needed of injuries, ascertainment of causes, identify participants with higher rates, measure the results of preventive measures, rule change to exclude head kicks, and encourage non-contact Taekwondo especially for participants with high injury rates.

Family-Based Interventions in Preventing Children and Adolescents from Using Tobacco: A Systematic Review and Meta-Analysis.

BACKGROUND: Tobacco is the main preventable cause of death and disease worldwide. Adolescent smoking is increasing in many countries with poorer countries following the earlier experiences of affluent countries. Preventing adolescents from starting smoking is crucial to decreasing tobacco-related illness. OBJECTIVE: To assess effectiveness of family-based interventions alone and combined with school-based interventions to prevent children and adolescents from initiating tobacco use. DATA SOURCES: Fourteen bibliographic databases and the Internet, journals hand-searched, and experts consulted. STUDY ELIGIBILITY CRITERIA, PARTICIPANTS, AND INTERVENTIONS: Randomized controlled trials (RCTs) with children or adolescents and families, interventions to prevent starting tobacco use, and follow-up ≥6 months. STUDY APPRAISAL/SYNTHESIS METHODS: Abstracts/titles independently assessed and data independently entered by 2 authors. Risk of bias was assessed with the Cochrane Risk-of-Bias tool. RESULTS: Twenty-seven RCTs were included. Nine trials of never-smokers compared with a control provided data for meta-analysis. Family intervention trials had significantly fewer students who started smoking. Meta-analysis of 2 RCTs of combined family and school interventions compared with school only, showed additional significant benefit. The common feature of effective high-intensity interventions was encouraging authoritative parenting. LIMITATIONS: Only 14 RCTs provided data for meta-analysis (approximately a third of participants). Of the 13 RCTs that did not provide data for meta-analysis 8 compared a family intervention with no intervention and 1 reported significant effects, and 5 compared a family combined with school intervention with a school intervention only and none reported additional significant effects. CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS: There is moderate-quality evidence that family-based interventions prevent children and adolescents from starting to smoke.

Family-based programmes for preventing smoking by children and adolescents.

BACKGROUND: There is evidence that family and friends influence children's decisions to smoke. OBJECTIVES: To assess the effectiveness of interventions to help families stop children starting smoking. SEARCH METHODS: We searched 14 electronic bibliographic databases, including the Cochrane Tobacco Addiction Group specialized register, MEDLINE, EMBASE, PsycINFO, CINAHL unpublished material, and key articles' reference lists. We performed free-text internet searches and targeted searches of appropriate websites, and hand-searched key journals not available electronically. We consulted authors and experts in the field. The most recent search was 3 April 2014. There were no date or language limitations. SELECTION CRITERIA: Randomised controlled trials (RCTs) of interventions with children (aged 5-12) or adolescents (aged 13-18) and families to deter tobacco use. The primary outcome was the effect of the intervention on the smoking status of children who reported no use of tobacco at baseline. Included trials had to report outcomes measured at least six months from the start of the intervention. DATA COLLECTION AND ANALYSIS: We reviewed all potentially relevant citations and retrieved the full text to determine whether the study was an RCT and matched our inclusion criteria. Two authors independently extracted study data for each RCT and assessed them for risk of bias. We pooled risk ratios using a Mantel-Haenszel fixed effect model. MAIN RESULTS: Twenty-seven RCTs were included. The interventions were very heterogeneous in the components of the family intervention, the other risk behaviours targeted alongside tobacco, the age of children at baseline and the length of follow-up. Two interventions were tested by two RCTs, one was tested by three RCTs and the remaining 20 distinct interventions were tested only by one RCT. Twenty-three interventions were tested in the USA, two in Europe, one in Australia and one in India.The control conditions fell into two main groups: no intervention or usual care; or school-based interventions provided to all participants. These two groups of studies were considered separately.Most studies had a judgement of 'unclear' for at least one risk of bias criteria, so the quality of evidence was downgraded to moderate. Although there was heterogeneity between studies there was little evidence of statistical heterogeneity in the results. We were unable to extract data from all studies in a format that allowed inclusion in a meta-analysis.There was moderate quality evidence family-based interventions had a positive impact on preventing smoking when compared to a no intervention control. Nine studies (4810 participants) reporting smoking uptake amongst baseline non-smokers could be pooled, but eight studies with about 5000 participants could not be pooled because of insufficient data. The pooled estimate detected a significant reduction in smoking behaviour in the intervention arms (risk ratio [RR] 0.76, 95% confidence interval [CI] 0.68 to 0.84). Most of these studies used intensive interventions. Estimates for the medium and low intensity subgroups were similar but confidence intervals were wide. Two studies in which some of the 4487 participants already had smoking experience at baseline did not detect evidence of effect (RR 1.04, 95% CI 0.93 to 1.17).Eight RCTs compared a combined family plus school intervention to a school intervention only. Of the three studies with data, two RCTS with outcomes for 2301 baseline never smokers detected evidence of an effect (RR 0.85, 95% CI 0.75 to 0.96) and one study with data for 1096 participants not restricted to never users at baseline also detected a benefit (RR 0.60, 95% CI 0.38 to 0.94). The other five studies with about 18,500 participants did not report data in a format allowing meta-analysis. One RCT also compared a family intervention to a school 'good behaviour' intervention and did not detect a difference between the two types of programme (RR 1.05, 95% CI 0.80 to 1.38, n = 388).No studies identified any adverse effects of intervention. AUTHORS' CONCLUSIONS: There is moderate quality evidence to suggest that family-based interventions can have a positive effect on preventing children and adolescents from starting to smoke. There were more studies of high intensity programmes compared to a control group receiving no intervention, than there were for other compairsons. The evidence is therefore strongest for high intensity programmes used independently of school interventions. Programmes typically addressed family functioning, and were introduced when children were between 11 and 14 years old. Based on this moderate quality evidence a family intervention might reduce uptake or experimentation with smoking by between 16 and 32%. However, these findings should be interpreted cautiously because effect estimates could not include data from all studies. Our interpretation is that the common feature of the effective high intensity interventions was encouraging authoritative parenting (which is usually defined as showing strong interest in and care for the adolescent, often with rule setting). This is different from authoritarian parenting (do as I say) or neglectful or unsupervised parenting.

Antimetabolites in cataract surgery to prevent failure of a previous trabeculectomy.

BACKGROUND: Patients having cataract surgery have often earlier undergone a trabeculectomy for glaucoma. However, cataract surgery may be associated with failure of the previous glaucoma surgery and antimetabolites may be used with cataract surgery to prevent such failure. There is no systematic review on whether antimetabolites with cataract surgery prevent failure of a previous trabeculectomy. OBJECTIVES: To assess the effects of antimetabolites with cataract surgery on functioning of a previous trabeculectomy. SEARCH METHODS: We searched CENTRAL (which contains the Cochrane Eyes and Vision Group Trials Register) (2014, Issue 5), Ovid MEDLINE, Ovid MEDLINE In-Process and Other Non-Indexed Citations, Ovid MEDLINE Daily, Ovid OLDMEDLINE (January 1946 to June 2014), EMBASE (January 1980 to June 2014), Latin American and Caribbean Health Sciences Literature Database (LILACS) (January 1982 to June 2014), the metaRegister of Controlled Trials (mRCT) (www.controlled-trials.com), ClinicalTrials.gov (www.clinicaltrials.gov) and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) (www.who.int/ictrp/search/en). We did not use any date or language restrictions in the electronic searches for trials. We last searched the electronic databases on 10 June 2014. We also searched the Science Citation Index database (July 2013) and reference lists of potentially relevant studies. SELECTION CRITERIA: Randomised controlled trials (RCTs) of antimetabolites with cataract surgery in people with a functioning trabeculectomy. DATA COLLECTION AND ANALYSIS: Two review authors independently reviewed the titles and abstracts from the electronic searches. Two review authors independently assessed relevant full-text articles and entered data. MAIN RESULTS: We identified no RCTs to test the effectiveness of antimetabolites with cataract surgery in individuals with the intention of preventing failure of a previous trabeculectomy. AUTHORS' CONCLUSIONS: There are no RCTs of antimetabolites with cataract surgery in people with a functioning trabeculectomy. Appropriately powered RCTs are needed of antimetabolites during cataract surgery in patients with a functioning trabeculectomy.