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Machine learning reduced workload for the Cochrane COVID-19 Study Register: development and evaluation of the Cochrane COVID-19 Study Classifier
BackgroundThis study developed, calibrated and evaluated a machine learning (ML) classifier designed to reduce study identification workload in...
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Conclusiveness, linguistic characteristics and readability of Cochrane plain language summaries of intervention reviews: a cross-sectional study
BackgroundOne of the most important formats to disseminate the evidence in health to different populations are Cochrane Plain Language Summaries...
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Quality of the Systematic Reviews in Cochrane Gynecological Cancer Group and Their Understudied RCTs
PurposeGynecological cancers are common neoplasms in clinical settings with a high impact on the economy of communities. The medical literature is an...
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Include or not to include conference abstracts in systematic reviews? Lessons learned from a large Cochrane network meta-analysis including 585 trials
BackgroundSystematic reviews attempt to gather all available evidence. Controversy exists regarding effort and benefit of including study results...
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Multivariate meta-analysis of multiple outcomes: characteristics and predictors of borrowing of strength from Cochrane reviews
ObjectivesMultivariate meta-analysis allows the joint synthesis of multiple outcomes accounting for their correlation. This enables borrowing of...
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The normality assumption on between-study random effects was questionable in a considerable number of Cochrane meta-analyses
BackgroundStudies included in a meta-analysis are often heterogeneous. The traditional random-effects models assume their true effects to follow a...
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Fertility-Sparing Treatment for Atypical Endometrial Hyperplasia and Endometrial Cancer: A Cochrane Systematic Review Protocol
IntroductionEndometrial cancer is the fifth most common cancer in women and atypical endometrial hyperplasia is a precancerous lesion. Obesity is an...