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大试验与小试验之间的一致性:系统评价和元研究分析。

Agreement Between Mega-Trials and Smaller Trials: A Systematic Review and Meta-Research Analysis.

机构信息

Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California.

Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland.

出版信息

JAMA Netw Open. 2024 Sep 3;7(9):e2432296. doi: 10.1001/jamanetworkopen.2024.32296.

Abstract

IMPORTANCE

Mega-trials can provide large-scale evidence on important questions.

OBJECTIVE

To explore how the results of mega-trials compare with the meta-analysis results of trials with smaller sample sizes.

DATA SOURCES

ClinicalTrials.gov was searched for mega-trials until January 2023. PubMed was searched until June 2023 for meta-analyses incorporating the results of the eligible mega-trials.

STUDY SELECTION

Mega-trials were eligible if they were noncluster nonvaccine randomized clinical trials, had a sample size over 10 000, and had a peer-reviewed meta-analysis publication presenting results for the primary outcome of the mega-trials and/or all-cause mortality.

DATA EXTRACTION AND SYNTHESIS

For each selected meta-analysis, we extracted results of smaller trials and mega-trials included in the summary effect estimate and combined them separately using random effects. These estimates were used to calculate the ratio of odds ratios (ROR) between mega-trials and smaller trials in each meta-analysis. Next, the RORs were combined using random effects. Risk of bias was extracted for each trial included in our analyses (or when not available, assessed only for mega-trials). Data analysis was conducted from January to June 2024.

MAIN OUTCOMES AND MEASURES

The main outcomes were the summary ROR for the primary outcome and all-cause mortality between mega-trials and smaller trials. Sensitivity analyses were performed with respect to the year of publication, masking, weight, type of intervention, and specialty.

RESULTS

Of 120 mega-trials identified, 41 showed a significant result for the primary outcome and 22 showed a significant result for all-cause mortality. In 35 comparisons of primary outcomes (including 85 point estimates from 69 unique mega-trials and 272 point estimates from smaller trials) and 26 comparisons of all-cause mortality (including 70 point estimates from 65 unique mega-trials and 267 point estimates from smaller trials), no difference existed between the outcomes of the mega-trials and smaller trials for primary outcome (ROR, 1.00; 95% CI, 0.97-1.04) nor for all-cause mortality (ROR, 1.00; 95% CI, 0.97-1.04). For the primary outcomes, smaller trials published before the mega-trials had more favorable results than the mega-trials (ROR, 1.05; 95% CI, 1.01-1.10) and subsequent smaller trials published after the mega-trials (ROR, 1.10; 95% CI, 1.04-1.18).

CONCLUSIONS AND RELEVANCE

In this meta-research analysis, meta-analyses of smaller studies showed overall comparable results with mega-trials, but smaller trials published before the mega-trials gave more favorable results than mega-trials. These findings suggest that mega-trials need to be performed more often given the relative low number of mega-trials found, their low significant rates, and the fact that smaller trials published prior to mega-trial report more beneficial results than mega-trials and subsequent smaller trials.

摘要

重要性

大型试验可以提供关于重要问题的大规模证据。

目的

探索大型试验的结果与样本量较小的试验的荟萃分析结果相比如何。

数据来源

直到 2023 年 1 月,在 ClinicalTrials.gov 上搜索大型试验。直到 2023 年 6 月,在 PubMed 上搜索纳入合格大型试验结果的荟萃分析。

研究选择

如果是非簇非疫苗随机临床试验,样本量超过 10000 例,并且有同行评审的荟萃分析出版物报告大型试验的主要结局和/或全因死亡率的结果,则符合大型试验的条件。

数据提取和综合

对于每个选定的荟萃分析,我们提取了纳入汇总效应估计值的较小试验和大型试验的结果,并分别使用随机效应对其进行组合。使用这些估计值计算每个荟萃分析中大型试验和较小试验之间的优势比(ROR)。接下来,使用随机效应合并 ROR。对我们分析中包含的每项试验(或当不可用时,仅对大型试验)提取偏倚风险。数据分析于 2024 年 1 月至 6 月进行。

主要结果和测量

主要结果是大型试验和较小试验之间主要结局和全因死亡率的汇总 ROR。进行了与出版物年份、掩蔽、权重、干预类型和专业相关的敏感性分析。

结果

在 120 项大型试验中,41 项对主要结局有显著结果,22 项对全因死亡率有显著结果。在 35 项主要结局比较(包括来自 69 项独特大型试验的 85 个点估计值和来自 272 项较小试验的点估计值)和 26 项全因死亡率比较(包括来自 65 项独特大型试验的 70 个点估计值和来自 267 项较小试验的点估计值)中,大型试验和较小试验在主要结局(ROR,1.00;95%CI,0.97-1.04)和全因死亡率(ROR,1.00;95%CI,0.97-1.04)方面的结果无差异。对于主要结局,在大型试验之前发表的较小试验的结果比大型试验更有利(ROR,1.05;95%CI,1.01-1.10),而在大型试验之后发表的后续较小试验的结果则更不利(ROR,1.10;95%CI,1.04-1.18)。

结论和相关性

在这项元研究分析中,较小研究的荟萃分析总体上显示出与大型试验相当的结果,但在大型试验之前发表的较小试验的结果比大型试验更有利。这些发现表明,鉴于发现的大型试验数量相对较少、其显著率较低,以及在大型试验之前发表的较小试验报告的结果比大型试验和随后的较小试验更有利,需要更多地进行大型试验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c45b/11380108/a67aec25d05c/jamanetwopen-e2432296-g001.jpg

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