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试验注册与新肿瘤药物已发表试验的结果和结论的关联。

Association of trial registration with the results and conclusions of published trials of new oncology drugs.

机构信息

History & Philosophy of Science, University of New South Wales, Sydney 2052, Australia.

出版信息

Trials. 2009 Dec 16;10:116. doi: 10.1186/1745-6215-10-116.

Abstract

BACKGROUND

Registration of clinical trials has been introduced largely to reduce bias toward statistically significant results in the trial literature. Doubts remain about whether advance registration alone is an adequate measure to reduce selective publication, selective outcome reporting, and biased design. One of the first areas of medicine in which registration was widely adopted was oncology, although the bulk of registered oncology trials remain unpublished. The net influence of registration on the literature remains untested. This study compares the prevalence of favorable results and conclusions among published reports of registered and unregistered randomized controlled trials of new oncology drugs.

METHODS

We conducted a cross-sectional study of published original research articles reporting clinical trials evaluating the efficacy of drugs newly approved for antimalignancy indications by the United States Food and Drug Administration (FDA) from 2000 through 2005. Drugs receiving first-time approval for indications in oncology were identified using the FDA web site and Thomson Centerwatch. Relevant trial reports were identified using PubMed and the Cochrane Library. Evidence of advance trial registration was obtained by a search of clinicaltrials.gov, WHO, ISRCTN, NCI-PDQ trial databases and corporate trial registries, as well as articles themselves. Data on blinding, results for primary outcomes, and author conclusions were extracted independently by two coders. Univariate and multivariate logistic regression identified associations between favorable results and conclusions and independent variables including advance registration, study design characteristics, and industry sponsorship.

RESULTS

Of 137 original research reports from 115 distinct randomized trials assessing 25 newly approved drugs for treating cancer, the 54 publications describing data from trials registered prior to publication were as likely to report statistically significant efficacy results and reach conclusions favoring the test drug (for results, OR = 1.77; 95% CI = 0.87 to 3.61) as reports of trials not registered in advance. In multivariate analysis, reports of prior registered trials were again as likely to favor the test drug (OR = 1.29; 95% CI = 0.54 to 3.08); large sample sizes and surrogate outcome measures were statistically significant predictors of favorable efficacy results at p < 0.05. Subgroup analysis of the main reports from each trial (n = 115) similarly indicated that registered trials were as likely to report results favoring the test drug as trials not registered in advance (OR = 1.11; 95% CI = 0.44 to 2.80), and also that large trials and trials with nonstringent blinding were significantly more likely to report results favoring the test drug.

CONCLUSIONS

Trial registration alone, without a requirement for full reporting of research results, does not appear to reduce a bias toward results and conclusions favoring new drugs in the clinical trials literature. Our findings support the inclusion of full results reporting in trial registers, as well as protocols to allow assessment of whether results have been completely reported.

摘要

背景

临床试验注册制度的引入在很大程度上是为了减少临床试验文献中对有统计学意义结果的偏倚。但是否仅提前注册就足以减少选择性发表、选择性报告结果和有偏倚的设计,人们对此仍存在疑问。注册制度首先被广泛应用的医学领域之一是肿瘤学,尽管已注册的肿瘤学试验大部分仍未发表。注册制度对文献的总体影响仍有待检验。本研究比较了已发表的注册和未注册的新抗肿瘤药物随机对照试验的报告中有利结果和结论的出现率。

方法

我们对 2000 年至 2005 年间美国食品和药物管理局(FDA)首次批准用于抗肿瘤适应证的新药的临床试验进行了已发表的原始研究文章的横断面研究。使用 FDA 网站和 Thomson Centerwatch 确定首次获得抗肿瘤适应证批准的药物。使用 PubMed 和 Cochrane Library 确定相关试验报告。通过在 clinicaltrials.gov、WHO、ISRCTN、NCI-PDQ 试验数据库和公司试验登记处以及文章本身搜索,获得试验提前注册的证据。由两名编目人员独立提取盲法、主要结局结果和作者结论的数据。单变量和多变量逻辑回归确定有利结果和结论与提前注册、研究设计特征和行业赞助等独立变量之间的关联。

结果

在评估 25 种新批准的癌症治疗药物的 115 项随机试验的 137 项原始研究报告中,描述已提前注册试验数据的 54 篇出版物与未提前注册的试验报告一样,更有可能报告有统计学意义的疗效结果并得出有利于试验药物的结论(对于结果,OR = 1.77;95%CI = 0.87 至 3.61)。在多变量分析中,预先注册的试验报告再次同样可能支持试验药物(OR = 1.29;95%CI = 0.54 至 3.08);大样本量和替代终点指标在 p < 0.05 时是有利疗效结果的统计学显著预测因素。对每项试验的主要报告进行的亚组分析(n = 115)同样表明,与未提前注册的试验相比,注册试验更有可能报告有利于试验药物的结果(OR = 1.11;95%CI = 0.44 至 2.80),并且大试验和非严格盲法试验更有可能报告有利于试验药物的结果。

结论

仅提前注册,而不要求完整报告研究结果,似乎并不能减少临床试验文献中对新药结果和结论的偏倚。我们的研究结果支持在试验登记处纳入完整的结果报告,以及制定方案以评估结果是否已完整报告。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5d/2811705/d164e912f4d6/1745-6215-10-116-1.jpg

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