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受资助且结果良好的研究更易发表:一项系统评价与荟萃分析

Favorable and publicly funded studies are more likely to be published: a systematic review and meta-analysis.

作者信息

Canestaro William J, Hendrix Nathaniel, Bansal Aasthaa, Sullivan Sean D, Devine Emily B, Carlson Josh J

机构信息

University of Washington School of Pharmacy, 1959 Northeast Pacific Street, H362 Health Sciences Building, Seattle, WA 98195, USA.

University of Washington School of Pharmacy, 1959 Northeast Pacific Street, H362 Health Sciences Building, Seattle, WA 98195, USA.

出版信息

J Clin Epidemiol. 2017 Dec;92:58-68. doi: 10.1016/j.jclinepi.2017.08.004. Epub 2017 Aug 31.

Abstract

OBJECTIVES

The aim of this study was to identify and quantify the characteristics of studies associated with the likelihood of publication.

STUDY DESIGN AND SETTING

We searched for manuscripts that tracked cohorts of clinical studies ("cohorts") that from launch to publication. We explored the association of study characteristics with the probability of publication via traditional meta-analyses and meta-regression using random effects models.

RESULTS

The literature review identified 85 cohorts of studies that met our inclusion criteria. The probability of publication was significantly higher for studies whose characteristics were favorable (odds ratio [OR] = 2.04; 95% confidence interval [CI]: 1.62, 2.57) or statistically significant (OR = 2.07; 95% CI: 1.52, 2.81), had a multicenter design (OR = 1.32; 95% CI: 1.16, 1.45), and were of later regulatory phase (3/4 vs. 1/2, OR = 1.34; 95% CI: 1.14, 1.49). Industry funding was modestly associated with lower (OR = 0.81; 95% CI: 0.67, 0.99) probability of publication. An exploratory analysis of effect modification revealed that the effect of the study characteristic "favorable results" on likelihood for publication was stronger for industry-funded studies.

CONCLUSION

The study characteristics of favorable and significant results were associated with greater probability of publication.

摘要

目的

本研究旨在识别并量化与发表可能性相关的研究特征。

研究设计与设置

我们搜索了追踪临床研究队列(“队列”)从启动到发表情况的手稿。我们通过传统的荟萃分析和使用随机效应模型的荟萃回归,探讨了研究特征与发表概率之间的关联。

结果

文献综述确定了85个符合我们纳入标准的研究队列。特征良好(优势比[OR]=2.04;95%置信区间[CI]:1.62,2.57)或具有统计学意义(OR=2.07;95%CI:1.52,2.81)、采用多中心设计(OR=1.32;95%CI:1.16,1.45)且处于后期监管阶段(3/4期与1/2期相比,OR=1.34;95%CI:1.14,1.49)的研究发表概率显著更高。行业资助与较低的发表概率(OR=0.81;95%CI:0.67,0.99)存在适度关联。效应修饰的探索性分析显示,对于行业资助的研究,“结果良好”这一研究特征对发表可能性的影响更强。

结论

结果良好和具有显著性的研究特征与更高的发表概率相关。

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