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多囊卵巢综合征随机对照试验报告质量。

Quality of reporting of randomized controlled trials in polycystic ovary syndrome.

机构信息

Department of Biomathematics, University of Thessaly School of Medicine, Larissa, Greece.

出版信息

Trials. 2009 Nov 20;10:106. doi: 10.1186/1745-6215-10-106.

Abstract

BACKGROUND

Inadequate reporting of randomized controlled trials (RCTs) is associated with biased estimates of treatment effects. The reporting quality of RCTs involving patients with polycystic ovary syndrome (PCOS) is unknown. The purpose of this study was to assess the reporting quality of RCTs involving patients with PCOS using a standardized tool based on the Consolidated Standards of Reporting Trials (CONSORT) statement.

METHODS

We searched PubMed database for English-language RCTs involving patients with PCOS. Quality of reporting was assessed using a 24-item questionnaire based on the revised CONSORT checklist. Reporting was evaluated overall, and for pre- and post-CONSORT periods. RCTs on PCOS associated with fertility and non-fertility disturbances were also evaluated separately.

RESULTS

Nine of the 24 items were reported in less than 50% of the studies, while a significant improvement (P < 0.05) was detected in 12 of 24 items (50%) over the two CONSORT periods. The RCTs on PCOS with reference to fertility seem to have adhered better to CONSORT statement than RCTs not associated to fertility.

CONCLUSION

There is empirical evidence of suboptimal reporting quality of RCTs in PCOS. Endorsement of the CONSORT statement may optimize the reporting quality and enhance the validity of research.

摘要

背景

随机对照试验(RCTs)报告不充分与治疗效果的偏倚估计有关。涉及多囊卵巢综合征(PCOS)患者的 RCTs 的报告质量尚不清楚。本研究的目的是使用基于临床试验报告标准(CONSORT)声明的标准化工具评估涉及 PCOS 患者的 RCTs 的报告质量。

方法

我们在 PubMed 数据库中搜索了涉及 PCOS 患者的英语 RCTs。使用基于修订后的 CONSORT 清单的 24 项问卷评估报告质量。总体报告进行了评估,并针对 CONSORT 前后两个时期进行了评估。还分别评估了与生育和非生育障碍相关的 PCOS 的 RCTs。

结果

24 项中有 9 项的报告比例低于 50%,而在 CONSORT 前后两个时期的 24 项中有 12 项(50%)有显著改善(P <0.05)。与生育相关的 PCOS 的 RCTs 似乎比不与生育相关的 RCTs 更符合 CONSORT 声明。

结论

有证据表明,PCOS 的 RCT 报告质量存在不足。支持 CONSORT 声明可能会优化报告质量,提高研究的有效性。

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