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试验注册库与已发表研究中关于盲法的不一致信息:一项系统综述

Discordant Information on Blinding in Trial Registries and Published Research: A Systematic Review.

作者信息

Zhang Fengying, Zhu Yi, Zhao Shengmin, Zhang Qian, Tao Huan, Wu Yunhong, Jia Pengli

机构信息

Tibet Autonomous Region Clinical Research Center for High-Altitude Stress, Endocrinology and Metabolism Disease, Hospital of Chengdu Office of People's Government of Tibetan Autonomous Region (Hospital.C.T.), Chengdu, China.

Proof of Concept Center, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital, Second Military Medical University, Naval Medical University, Shanghai, China.

出版信息

JAMA Netw Open. 2024 Dec 2;7(12):e2452274. doi: 10.1001/jamanetworkopen.2024.52274.

Abstract

IMPORTANCE

Blinding of individuals involved in randomized clinical trials (RCTs) can be used to protect against performance and biases, but discrepancies in the reporting of methodological features between registered protocols and subsequent trial publications may lead to inconsistencies, thereby reintroducing bias.

OBJECTIVE

To investigate inconsistency in blinding as reported in trial registries and publications.

DATA SOURCES

An exploratory dataset and a validation dataset were created. The exploratory dataset consisted of RCTs included in systematic reviews of adverse events from the SMART Safety database published between January 1, 2015, to January 1, 2020. The validation dataset was based on a literature search on PubMed for all registered RCTs published within the same time frame.

STUDY SELECTION

Eligible RCTs for the exploratory dataset included were those that specified drug safety as the exclusive outcome and included at least 1 pairwise meta-analysis involving 5 or more RCTs of health care interventions. The validation dataset included a random selection of RCTs without restriction on outcome.

DATA EXTRACTION AND SYNTHESIS

Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting guidelines were followed during data extraction. RCTs were matched to their registries and information on blinding was extracted from both the journal publication and trial registry. Extraction was performed by 1 author and cross-checked by 2 additional authors, with discrepancies resolved via consensus. The data analysis was conducted between July 2023 and January 2024.

MAIN OUTCOMES AND MEASURES

The primary outcome was inconsistency in blinding reports in the publication and the associated trial registry. Factors associated with the inconsistency were further investigated using multivariable logistic regression. The results were then compared with the validation dataset.

RESULTS

A total of 1340 RCTs were included, with a median (IQR) sample size of 338 (152-772) participants. Of these, 749 (55.90%) were multiregional, 1220 (91.04%) were multicenter, and 835 (62.31%) were prospectively registered. The most frequently studied condition was cancer, representing 472 trials (35.22%). In the exploratory dataset, 1080 trials (80.60%) had inconsistent reporting of blinding in their published trial registry. Higher odds of inconsistency were associated with trials conducted as single-center (OR, 2.84; 95% CI, 1.24-7.74; P = .02) or those focused on cancer (OR, 3.26; 95% CI, 2.04-5.38; P < .001). Evaluation of the 98 RCTs in the validation dataset revealed that 70 (71.43%) had inconsistencies between the published trial and its registries. The occurrence of inconsistencies was significantly higher in the exploratory dataset than the validation dataset (P = .03).

CONCLUSIONS AND RELEVANCE

In this systematic review of RCTs, there were significant inconsistencies in the reporting of blinding between trial publications and their corresponding registries. These findings underscore the importance of maintaining consistency between registered protocols and published trial reports to ensure methodological transparency and minimize bias.

摘要

重要性

随机临床试验(RCT)中涉及的人员设盲可用于防止实施偏倚和其他偏倚,但注册方案与后续试验出版物之间在方法学特征报告上的差异可能导致不一致,从而再次引入偏倚。

目的

调查试验注册库和出版物中报告的设盲不一致情况。

数据来源

创建了一个探索性数据集和一个验证数据集。探索性数据集由2015年1月1日至2020年1月1日期间发表在SMART安全数据库中不良事件系统评价中的随机对照试验组成。验证数据集基于对同一时间范围内发表的所有注册随机对照试验在PubMed上的文献检索。

研究选择

纳入探索性数据集的合格随机对照试验包括那些将药物安全性指定为唯一结局且至少有1项涉及5项或更多医疗保健干预随机对照试验的成对荟萃分析。验证数据集包括随机选择的对结局无限制的随机对照试验。

数据提取与综合

在数据提取过程中遵循系统评价和荟萃分析的首选报告项目报告指南。将随机对照试验与其注册库进行匹配,并从期刊出版物和试验注册库中提取有关设盲的信息。提取由1名作者进行,另外2名作者进行交叉核对,通过共识解决差异。数据分析于2023年7月至2024年1月进行。

主要结局和测量指标

主要结局是出版物和相关试验注册库中设盲报告的不一致。使用多变量逻辑回归进一步研究与不一致相关的因素。然后将结果与验证数据集进行比较。

结果

共纳入1340项随机对照试验,参与者的中位数(四分位间距)样本量为338(152 - 772)。其中,749项(55.90%)为多地区试验,1220项(91.04%)为多中心试验,835项(62.31%)为前瞻性注册试验。研究最频繁的疾病是癌症,占472项试验(35.22%)。在探索性数据集中,1080项试验(80.60%)在其发表的试验注册库中设盲报告不一致。不一致的较高几率与单中心进行的试验(比值比,2.84;95%置信区间,1.24 - 7.74;P = 0.02)或专注于癌症的试验(比值比,3.26;95%置信区间,2.04 - 5.38;P < 0.001)相关。对验证数据集中98项随机对照试验的评估显示,70项(71.43%)在发表的试验与其注册库之间存在不一致。探索性数据集中不一致的发生率显著高于验证数据集(P = 0.03)。

结论与意义

在这项对随机对照试验的系统评价中,试验出版物与其相应注册库之间在设盲报告方面存在显著不一致。这些发现强调了保持注册方案与发表的试验报告之间一致性的重要性,以确保方法学透明度并尽量减少偏倚。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0ec/11672156/e2d2d5c15fb7/jamanetwopen-e2452274-g001.jpg

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