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Assessing the quality of studies in meta-research: Review/guidelines on the most important quality assessment tools

2020

Systematic reviews and meta-analyses pool data from individual studies to generate a higher level of evidence to be evaluated by guidelines. These reviews ultimately guide clinicians and stakeholders in health-related decisions. However, the informativeness and quality of evidence synthesis inherently depend on the quality of what has been pooled into meta-research projects. Moreover, beyond the quality of included individual studies, only a methodologically correct process, in relation to systematic reviews and meta-analyses themselves, can produce a reliable and valid evidence synthesis. Hence, quality of meta-research projects also affects evidence synthesis reliability. In this overview…

Statistics and ProbabilityCONSORTmedia_common.quotation_subjectPRISMAmeta-researchStrengthening the reporting of observational studies in epidemiology01 natural sciencesAMSTAR-PLUS; AMSTAR2; CONSORT; Cochrane; NOS; PRISMA; STROBE; meta-analysis; meta-research; quality010104 statistics & probability03 medical and health sciences0302 clinical medicineAMSTAR-PLUSBiasSTROBEMedicineHumansPharmacology (medical)Quality (business)AMSTAR2 AMSTAR-PLUS Cochrane CONSORT meta-analysis meta-research NOSPRISMA quality STROBE030212 general & internal medicine0101 mathematicsmedia_commonPharmacologyReview/guidelines on the most important quality assessment tools- PHARMACEUTICAL STATISTICS 2020 [Luchini C. Veronese N. Nottegar A. Shin J. I. Gentile G. Granziol U. SOYSAL P. Alexinschi O. Smith L. Solmi M. -Assessing the quality of studies in meta-research]business.industryConsolidated Standards of Reporting TrialsReproducibility of ResultsEvidence-based medicineNOSJadad scaleAMSTAR2meta-analysisSystematic reviewCochraneRisk analysis (engineering)AMSTAR-PLUS; AMSTAR2; Cochrane; CONSORT; meta-analysis; meta-research; NOS; PRISMA; quality; STROBEqualityResearch DesignMeta-analysisObservational studybusiness
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