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Quality of evidence matters: is it well reported and interpreted in infertility journals?

机译:证据质量问题:在不孕症期刊中报道并解释了吗?

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Purpose To evaluate if the authors of published systematic reviews (SRs) reported the level of quality of evidence (QoE) in the top 5 impact factor infertility journals and to analyze if they used an appropriate wording to describe it. Methods This is a cross-sectional study. We searched in PubMed for SRs published in 2017 in the five infertility journals with the highest impact factor. We analyzed the proportion of SRs published in the top 5 impact factor infertility journals that reported the SRs' QoE, and the proportion of those SRs in which authors used consistent wording to describe QoE and magnitude of effect. Results The QoE was reported in only 21.4% of the 42 included SRs and in less than 10% of the abstracts. Although we did not find important differences in the report of QoE of those that showed statistically significant differences or not, p value was associated with the wording chosen by the authors. We found inconsistent reporting of the size the effect estimate in 54.8% (23/42) and in the level of QoE in 92.9% (39/42). Whereas the effect size was more consistently expressed in studies with statistically significant findings, QoE was better expressed in those cases in which the p value was over 0.05. Conclusion We found that in 2017, less than 25% of the authors reported the overall QoE when publishing SRs. Authors focused more on statistical significance as a binary concept than on methodological limitations like study design, imprecision, indirectness, inconsistency, and publication bias. Authors should make efforts to report the QoE and interpret results accordingly.
机译:旨在评估发表的系统评论(SRS)的作者报告了前5个影响因子不孕症期刊的证据(QoE)的质量水平,并分析了它们使用适当的措辞来描述它。方法这是一个横断面研究。我们在2017年在2017年发布的SRS中搜索,其中五个不注意的期刊具有最高影响因素。我们分析了在报告SRS'QoE的前5个影响因子不孕期刊中发表的SRS比例,以及作者使用一致措辞来描述QoE和效果幅度的SR的比例。结果QoE仅在42份包括SRS的21.4%中报告,不到10%的摘要。虽然我们在QoE的报告中没有找到统计上显着差异的QoE的重要差异,但P值与作者选择的措辞相关联。我们发现效应估计的效果估计的报告不一致,在92.9%(39/42)中QoE水平。然而,在具有统计显着发现的研究中更始终表达效果大小,在P值超过0.05的情况下更好地表达QoE。结论我们发现,在2017年,不到25%的作者报告了发布SRS时的整体QoE。作者更多地关注统计显着性作为二元概念,而不是研究设计,不精确,间接,不一致和出版物偏见等方法论限制。作者应该努力报告QoE并相应地解释结果。

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