ABSTRACT
The objective of this meta-epidemiological study was to explore the impact of attrition rates on treatment effect estimates in randomised trials of chronic inflammatory diseases (CID) treated with biological and targeted synthetic disease-modifying drugs. We sampled trials from Cochrane reviews. Attrition rates and primary endpoint results were retrieved from trial publications; Odds ratios (ORs) were calculated from the odds of withdrawing in the experimental intervention compared to the control comparison groups (i.e., differential attrition), as well as the odds of achieving a clinical response (i.e., the trial outcome). Trials were combined using random effects restricted maximum likelihood meta-regression models and associations between estimates of treatment effects and attrition rates were analysed. From 37 meta-analyses, 179 trials were included, and 163 were analysed (301 randomised comparisons; n = 62,220 patients). Overall, the odds of withdrawal were lower in the experimental compared to control groups (random effects summary OR = 0.45, 95% CI, 0.41-0.50). The corresponding overall treatment effects were large (random effects summary OR = 4.43, 95% CI 3.92-4.99) with considerable heterogeneity across interventions and clinical specialties (I2 = 85.7%). The ORs estimating treatment effect showed larger treatment benefits when the differential attrition was more prominent with more attrition in the control group (OR = 0.73, 95% CI 0.55-0.96). Higher attrition rates from the control arm are associated with larger estimated benefits of treatments with biological or targeted synthetic disease-modifying drugs in CID trials; differential attrition may affect estimates of treatment benefit in randomised trials.
Subject(s)
Inflammation , Randomized Controlled Trials as Topic , Humans , Odds Ratio , Chronic Disease , Treatment Outcome , Inflammation/drug therapy , Patient Dropouts , Epidemiologic Studies , Likelihood Functions , Research DesignABSTRACT
OBJECTIVE: Breast cancer is the most common cancer diagnosis among women. The acute crisis and uncertainty that often follow diagnosis put the family at risk of exhaustion and dysfunction. Adolescents have been identified as a particularly vulnerable group of relatives. To investigate how to prevent distress in this group, we systematically reviewed research on adolescents' (11-21 years) needs for information and psycho-social support during their mothers' breast cancer trajectory. METHOD: Systematic searches were conducted in five bibliometric databases. Peer-reviewed, original research of adolescents aged 11-21 with a mother diagnosed with breast cancer was included. Two researchers conducted screening, quality assessment, and data extraction independently. Thematic synthesis was applied to the included studies. RESULTS: A total of 8066 studies were screened, and five quantitative and six qualitative studies were included. The results indicated that adolescents' information and psycho-social support needs were poorly met. Many were reluctant to share feelings with family and peers and experienced abandonment during the crisis. Adolescents who were not well informed experienced distress. Poor family functioning increased the level of adolescents' distress. CONCLUSIONS: Despite limitations regarding heterogeneity among the studies, eligibility criteria, and quality assessment, this review provides clear clinical implications. Encounter groups may support adolescents during their mother's breast cancer trajectory. Furthermore, healthcare professionals could provide more indirect support to adolescents by providing support and clearer guidelines to parents. Finally, adolescents from poor-functioning families need extra attention.