New resources ● Members of Patient Reported Outcomes describe a step-by-step approach for selecting an optimal minimal important difference in BMJ. ● Members of Prognosis compare analytical methods for predicting the risk of two survival outcomes both occurring in Statistics in Medicine. ● Members of GRADEing propose the minimal requirements to appropriately claim that the GRADE approach was used in the Journal of Clinical Epidemiology. ● Members of Statistics assess the reporting in network meta-analysis of pharmacologic interventions according to their funding type in Systematic Reviews. ● Members of Equity report the results of a priority-setting exercise focused on identifying and prioritising reviews to be updated with a focus on health equity in the International Journal of Equity in Health. ● Members of Prognosis discuss analysis methods used for linear effect modification, non-linear associations and non-linear effect modification in individual-participant-data meta-analyses in the Journal of Clinical Epidemiology. ● Members of GRADEing provide guidance about how to rate the certainty of evidence when study interventions or comparators differ from PICO targets in the Journal of Clinical Epidemiology. ● Members of Prognosis introduce a new reporting guideline for systematic reviews and meta-analyses of prediction model research (TRIPOD-SRMA) in BMJ. ● Members of Comparing Multiple Interventions discuss ChatGPT and the perspectives on its utility to systematic reviews in Systematic Reviews. ● Members of Equity and GRADEing discuss key issues for stakeholder engagement in developing health and healthcare guidelines in Research Involvement and Engagement. ● Members of Adverse Effects introduce the CONSORT Harms 2022 statement, an updated guideline for reporting harms in randomised trials in the Journal of Clinical Epidemiology and BMJ. ● Members of Rapid Reviews introduce a series of rapid reviews' methodological guidance about literature search, team considerations, study selection, data extraction and risk of bias assessment, involvement of knowledge users and assessment of the certainty of the evidence in BMJ Evidence-Based Medicine.
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