Evidence from crossover trials: empirical evaluation and comparison against parallel arm trials

dc.contributor.authorLathyris, D. N.en
dc.contributor.authorTrikalinos, T. A.en
dc.contributor.authorIoannidis, J. P.en
dc.date.accessioned2015-11-24T19:17:23Z
dc.date.available2015-11-24T19:17:23Z
dc.identifier.issn0300-5771-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/21771
dc.rightsDefault Licence-
dc.subject*Cross-Over Studiesen
dc.subject*Evaluation Studies as Topicen
dc.subjectFemaleen
dc.subjectHumansen
dc.subjectMaleen
dc.subject*Meta-Analysis as Topicen
dc.subjectRandomized Controlled Trials as Topic/*standardsen
dc.titleEvidence from crossover trials: empirical evaluation and comparison against parallel arm trialsen
heal.abstractBACKGROUND: We aimed to evaluate empirically how crossover trial results are analysed in meta-analyses of randomized evidence and whether their results agree with parallel arm studies on the same questions. METHODS: We used a systematic sample of Cochrane meta-analyses including crossover trials. We evaluated the methods of analysis for crossover results and compared the concordance of the estimated effect sizes in crossover vs parallel arm trials. RESULTS: Of 334 screened reviews, 62 had crossover trials. Of those, 33 meta-analyses performed quantitative syntheses involving two-arm two-period crossover trials. There was large variability on how these trials were analysed; only one of the 33 meta-analyses stated that they used the data from both the first and second period with an appropriate paired approach. Nine meta-analyses used the first period data only and 14 gave no information at all on what they had done. Twenty-eight meta-analyses had both crossover (n = 137, sample size n = 7,162) and parallel arm (n = 132, sample size n = 11,398) trials. Effect sizes correlated well with the two types of designs (rho = 0.72). Differences on whether the summary effect had a P < 0.05 or not were common due to limited sample sizes. The summary relative odds ratio for parallel arm vs crossover designs for favourable outcomes was 0.87 (95% CI, 0.74-1.02). CONCLUSIONS: Crossover designs may contribute evidence in a fifth of systematic reviews, but few meta-analyses make use of their full data. The results of crossover trials tend to agree with those of parallel arm trials, although there was a trend for more conservative treatment effect estimates in parallel arm trials.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.identifier.primary10.1093/ije/dym001-
heal.identifier.secondaryhttp://www.ncbi.nlm.nih.gov/pubmed/17301102-
heal.identifier.secondaryhttp://ije.oxfordjournals.org/content/36/2/422.full.pdf-
heal.journalNameInt J Epidemiolen
heal.journalTypepeer-reviewed-
heal.languageen-
heal.publicationDate2007-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Επιστημών Υγείας. Τμήμα Ιατρικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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