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      Non-Cochrane vs. Cochrane reviews were twice as likely to have positive conclusion statements: cross-sectional study

      , , , ,
      Journal of Clinical Epidemiology
      Elsevier BV

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          Abstract

          To determine which factors predict favorable results and positive conclusions in systematic reviews (SRs) and to assess the level of agreement between SR results and conclusions. A sample of 296 English SRs indexed in MEDLINE (November, 2004) was obtained. Two investigators independently categorized SR characteristics, results, and conclusions. Descriptive analyses and logistic regression predicting favorable results (nonstatistically significant and statistically significant positive) and positive conclusions were conducted. The level of concordance between results and conclusions was assessed using a weighted-kappa statistic. Overall, 36.5% of the SRs had favorable results, increasing to 57.7% for Cochrane and 64.3% for non-Cochrane reviews with a meta-analysis of the primary outcome. Non-Cochrane reviews with a meta-analysis of the primary outcome were twice as likely to have positive conclusions as Cochrane reviews with such an analysis (P-value<0.05). The weighted kappa for agreement between SR results and conclusions was 0.55. It was lower for Cochrane (0.41) vs. non-Cochrane (0.67) reviews. SRs including a meta-analysis of the primary outcome may be affected by indirect publication bias in our sample. Differences between the results and conclusions of Cochrane and non-Cochrane reviews were apparent. Further research on publication-related issues of SRs is warranted.

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          Author and article information

          Journal
          Journal of Clinical Epidemiology
          Journal of Clinical Epidemiology
          Elsevier BV
          08954356
          April 2009
          April 2009
          : 62
          : 4
          : 380-386.e1
          Article
          10.1016/j.jclinepi.2008.08.008
          19128940
          2994d024-c69c-44f5-9115-161d53967771
          © 2009

          https://www.elsevier.com/tdm/userlicense/1.0/

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