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数据共享与否:评估多囊卵巢综合征一线促排卵治疗的试验有多可靠?

To share or not to share data: how valid are trials evaluating first-line ovulation induction for polycystic ovary syndrome?

作者信息

Bordewijk Esmee M, Wang Rui, van Wely Madelon, Costello Michael F, Norman Robert J, Teede Helena, Gurrin Lyle C, Mol Ben W, Li Wentao

机构信息

Department of Obstetrics and Gynecology, Monash University, Clayton, Australia.

Centre for Reproductive Medicine, Amsterdam UMC, Amsterdam, The Netherlands.

出版信息

Hum Reprod Update. 2020 Nov 1;26(6):929-941. doi: 10.1093/humupd/dmaa031.

DOI:10.1093/humupd/dmaa031
PMID:32935841
Abstract

BACKGROUND

In our recent individual participant data (IPD) meta-analysis evaluating the effectiveness of first-line ovulation induction for polycystic ovary syndrome (PCOS), IPD were only available from 20 studies of 53 randomized controlled trials (RCTs). We noticed that the summary effect sizes of meta-analyses of RCTs without IPD sharing were different from those of RCTs with IPD sharing. Granting access to IPD for secondary analysis has implications for promoting fair and transparent conduct of RCTs. It is, however, still common for authors to choose to withhold IPD, limiting the impact of and confidence in the results of RCTs and systematic reviews based on aggregate data.

OBJECTIVE AND RATIONALE

We performed a meta-epidemiologic study to elucidate if RCTs without IPD sharing have lower quality and more methodological issues than those with IPD sharing in an IPD meta-analysis evaluating first-line ovulation induction for PCOS.

SEARCH METHODS

We included RCTs identified for the IPD meta-analysis. We dichotomized RCTs according to whether they provided IPD (shared group) or not (non-shared group) in the IPD meta-analysis. We restricted RCTs to full-text published trials written in English.We assessed and compared RCTs in the shared and non-shared groups on the following criteria: Risk of Bias (RoB 2.0), GRADE approach, adequacy of trial registration; description of statistical methods and reproducibility of univariable statistical analysis; excessive similarity or difference in baseline characteristics that is not compatible with chance; and other miscellaneous methodological issues.

OUTCOMES

In total, 45 trials (8697 women) were included in this study. IPD were available from 17 RCTs and 28 trials were categorized as the non-shared IPD group. Pooled risk rates obtained from the shared and non-shared groups were different. Overall low risk of bias was associated with 13/17 (76%) of shared RCTs versus 7/28 (25%) of non-shared RCTs. For RCTs that started recruitment after 1 July 2005, adequate trial registration was found in 3/9 (33%) of shared IPD RCTs versus 0/16 (0%) in non-shared RCTs. In total, 7/17 (41%) of shared RCTs and 19/28 (68%) of non-shared RCTs had issues with the statistical methods described. The median (range) of inconsistency rate per study, between reported and reproduced analyses for baseline variables, was 0% (0-92%) (6 RCTs applicable) in the shared group and 54% (0-100%) (13 RCTs applicable) in the non-shared group. The median (range) of inconsistency rate of univariable statistical results for the outcome(s) per study was 0% (0-63%) (14 RCTs applicable) in the shared group and 44% (0-100%) (24 RCTs applicable) in the non-shared group. The distributions of simulation-generated P-values from comparisons of baseline continuous variables between intervention and control arms suggested that RCTs in the shared group are likely to be consistent with properly conducted randomization (P = 0.163), whereas this was not the case for the RCTs in the non-shared group (P = 4.535 × 10-8).

WIDER IMPLICATIONS

IPD meta-analysis on evaluating first-line ovulation induction for PCOS preserves validity and generates more accurate estimates of risk than meta-analyses using aggregate data, which enables more transparent assessments of benefits and risks. The availability of IPD and the willingness to share these data may be a good indicator of quality, methodological soundness and integrity of RCTs when they are being considered for inclusion in systematic reviews and meta-analyses.

摘要

背景

在我们最近一项评估多囊卵巢综合征(PCOS)一线促排卵有效性的个体参与者数据(IPD)荟萃分析中,IPD仅来自53项随机对照试验(RCT)中的20项研究。我们注意到,未共享IPD的RCT荟萃分析的汇总效应大小与共享IPD的RCT的汇总效应大小不同。允许获取IPD进行二次分析对促进RCT的公平和透明开展具有重要意义。然而,作者选择隐瞒IPD的情况仍然很常见,这限制了基于汇总数据的RCT和系统评价结果的影响力和可信度。

目的和原理

我们进行了一项荟萃流行病学研究,以阐明在一项评估PCOS一线促排卵的IPD荟萃分析中,未共享IPD的RCT是否比共享IPD的RCT质量更低且存在更多方法学问题。

检索方法

我们纳入了为IPD荟萃分析所识别的RCT。我们根据RCT在IPD荟萃分析中是否提供IPD(共享组)将其分为两类(非共享组)。我们将RCT限制为以英文发表的全文试验。我们根据以下标准评估和比较共享组和非共享组中的RCT:偏倚风险(RoB 2.0)、GRADE方法、试验注册的充分性;统计方法的描述以及单变量统计分析的可重复性;基线特征中过度的相似性或差异(与机遇不符);以及其他杂项方法学问题。

结果

本研究共纳入45项试验(8697名女性)。17项RCT可获取IPD,28项试验被归类为非共享IPD组。共享组和非共享组获得的合并风险率不同。总体低偏倚风险与13/17(76%)的共享RCT相关,而与7/28(25%)的非共享RCT相关。对于2005年7月1日之后开始招募的RCT,在3/9(33%)的共享IPD RCT中发现试验注册充分,而在非共享RCT中为0/16(0%)。总体而言,7/17(41%)的共享RCT和19/28(68%) 的非共享RCT在所述统计方法方面存在问题。共享组中每项研究报告分析与重现分析之间基线变量不一致率的中位数(范围)为0%(0 - 92%)(6项RCT适用),非共享组为54%(0 - 100%)(13项RCT适用)。共享组中每项研究结局单变量统计结果不一致率的中位数(范围)为0%(0 - 63%)(14项RCT适用),非共享组为44%(0 - 100%)(24项RCT适用)。干预组与对照组之间基线连续变量比较的模拟生成P值分布表明,共享组中的RCT可能与正确进行的随机化一致(P = 0.163),而非共享组中的RCT并非如此(P = 4.535×10 - 8)。

更广泛的意义

评估PCOS一线促排卵的IPD荟萃分析比使用汇总数据的荟萃分析更能保持有效性并生成更准确的风险估计,这使得对益处和风险的评估更加透明。当考虑将RCT纳入系统评价和荟萃分析时,IPD的可获得性以及共享这些数据的意愿可能是RCT质量、方法学合理性和完整性的良好指标。

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