Three challenges described for identifying participants with missing data in trials reports, and potential solutions suggested to systematic reviewers

dc.contributor.authorAkl, Elie A.
dc.contributor.authorKahale, Lara A.
dc.contributor.authorEbrahim, Shanil
dc.contributor.authorAlonso-Coello, Pablo
dc.contributor.authorSchunëmann, Holger J.
dc.contributor.authorGordon, Guyatt H.
dc.contributor.departmentInternal Medicine
dc.contributor.facultyFaculty of Medicine (FM)
dc.contributor.institutionAmerican University of Beirut
dc.date.accessioned2025-01-24T11:47:40Z
dc.date.available2025-01-24T11:47:40Z
dc.date.issued2016
dc.description.abstractObjective To categorize the challenges in determining the extent of missing participant data in randomized trials and suggest potential solutions for systematic review authors. Study Design and Setting During the process of updating a series of Cochrane systematic reviews on the topic of anticoagulation in patients with cancer, we identified challenges and used an iterative approach to improve, and a consensus process to agree on the challenges identified, and to suggest potential ways of dealing with them. The five systematic reviews included 58 trials and 75 meta-analyses for patient-important dichotomous outcomes with 27,037 randomized participants. Results We identified three categories of challenges: (1) Although systematic reviewers require information about missing data to be reported by outcome, trialists typically report the information by participant; (2) It is not always clear whether the trialists followed up participants in certain categories (e.g., noncompliers), that is, whether some categories of participants did or did not have missing data; (3) It is not always clear how the trialists dealt with missing data in their analysis (e.g., exclusion from the denominator vs. assumptions made for the numerator). We discuss potential solutions for each one of these challenges and suggest further research work. Conclusion Current reporting of missing data is often not explicit and transparent, and although our potential solutions to problems of suboptimal reporting may be helpful, reliable and valid characterization of the extent and nature of missing data remains elusive. Reporting of missing data in trials needs further improvement. © 2016 Elsevier Inc.
dc.identifier.doihttps://doi.org/10.1016/j.jclinepi.2016.02.022
dc.identifier.eid2-s2.0-84961219303
dc.identifier.pmid26944294
dc.identifier.urihttp://hdl.handle.net/10938/30757
dc.language.isoen
dc.publisherElsevier USA
dc.relation.ispartofJournal of Clinical Epidemiology
dc.sourceScopus
dc.subjectAttrition bias
dc.subjectLost to follow-up
dc.subjectMissing participant data
dc.subjectNon-compliance
dc.subjectRandomized controlled trials
dc.subjectSystematic reviews
dc.subjectAnticoagulants
dc.subjectBiomedical research
dc.subjectHumans
dc.subjectNeoplasms
dc.subjectRandomized controlled trials as topic
dc.subjectResearch design
dc.subjectReview literature as topic
dc.subjectStatistics as topic
dc.subjectTreatment outcome
dc.subjectAnticoagulant agent
dc.subjectAnticoagulation
dc.subjectArticle
dc.subjectConsensus development
dc.subjectFollow up
dc.subjectHuman
dc.subjectMeta analysis (topic)
dc.subjectPatient information
dc.subjectPriority journal
dc.subjectRandomized controlled trial (topic)
dc.subjectSystematic review (topic)
dc.subjectLiterature
dc.subjectMedical research
dc.subjectMethodology
dc.subjectProcedures
dc.subjectStatistics
dc.titleThree challenges described for identifying participants with missing data in trials reports, and potential solutions suggested to systematic reviewers
dc.typeArticle

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