Evidence map›Paper›PMID 38840047›Full record

ArticleBMC medical research methodology2024

Adaptive designs were primarily used but inadequately reported in early phase drug trials.

Yuning Wang, Minghong Yao, Jiali Liu, Yanmei Liu, Yu Ma, Xiaochao Luo, Fan Mei, Hunong Xiang, Kang Zou, Ling Li and 1 more

Abstract read
In one paragraph

Article in BMC medical research methodology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yuning WangInstitute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Chinese Evidence-based Medicine Center and Chinese Cochrane Center, Sichuan University, Chengdu, 610041, China.
Minghong YaoInstitute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Chinese Evidence-based Medicine Center and Chinese Cochrane Center, Sichuan University, Chengdu, 610041, China.
Jiali LiuInstitute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Chinese Evidence-based Medicine Center and Chinese Cochrane Center, Sichuan University, Chengdu, 610041, China.
Yanmei LiuInstitute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Chinese Evidence-based Medicine Center and Chinese Cochrane Center, Sichuan University, Chengdu, 610041, China.
Yu MaInstitute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Chinese Evidence-based Medicine Center and Chinese Cochrane Center, Sichuan University, Chengdu, 610041, China.
Xiaochao LuoInstitute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Chinese Evidence-based Medicine Center and Chinese Cochrane Center, Sichuan University, Chengdu, 610041, China.
Fan MeiInstitute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Chinese Evidence-based Medicine Center and Chinese Cochrane Center, Sichuan University, Chengdu, 610041, China.
Hunong XiangInstitute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Chinese Evidence-based Medicine Center and Chinese Cochrane Center, Sichuan University, Chengdu, 610041, China.
Kang ZouInstitute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Chinese Evidence-based Medicine Center and Chinese Cochrane Center, Sichuan University, Chengdu, 610041, China.
Ling LiInstitute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Chinese Evidence-based Medicine Center and Chinese Cochrane Center, Sichuan University, Chengdu, 610041, China. liling@wchscu.cn.
Xin SunInstitute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Chinese Evidence-based Medicine Center and Chinese Cochrane Center, Sichuan University, Chengdu, 610041, China. sunxin@wchscu.cn.

Funding

1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University ZYGD23004Fundamental Research Funds for the Central public welfare research institutes 2020YJSZX-3The National Science Fund for Distinguished Young Scholars 82225049
6 · The paper itself

Abstract

backgroundFaced with the high cost and limited efficiency of classical randomized controlled trials, researchers are increasingly applying adaptive designs to speed up the development of new drugs. However, the application of adaptive design to drug randomized controlled trials (RCTs) and whether the reporting is adequate are unclear. Thus, this study aimed to summarize the epidemiological characteristics of the relevant trials and assess their reporting quality by the Adaptive designs CONSORT Extension (ACE) checklist.

methodsWe searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL) and ClinicalTrials.gov from inception to January 2020. We included drug RCTs that explicitly claimed to be adaptive trials or used any type of adaptative design. We extracted the epidemiological characteristics of included studies to summarize their adaptive design application. We assessed the reporting quality of the trials by Adaptive designs CONSORT Extension (ACE) checklist. Univariable and multivariable linear regression models were used to the association of four prespecified factors with the quality of reporting.

resultsOur survey included 108 adaptive trials. We found that adaptive design has been increasingly applied over the years, and was commonly used in phase II trials (n = 45, 41.7%). The primary reasons for using adaptive design were to speed the trial and facilitate decision-making (n = 24, 22.2%), maximize the benefit of participants (n = 21, 19.4%), and reduce the total sample size (n = 15, 13.9%). Group sequential design (n = 63, 58.3%) was the most frequently applied method, followed by adaptive randomization design (n = 26, 24.1%), and adaptive dose-finding design (n = 24, 22.2%). The proportion of adherence to the ACE checklist of 26 topics ranged from 7.4 to 99.1%, with eight topics being adequately reported (i.e., level of adherence ≥ 80%), and eight others being poorly reported (i.e., level of adherence ≤ 30%). In addition, among the seven items specific for adaptive trials, three were poorly reported: accessibility to statistical analysis plan (n = 8, 7.4%), measures for confidentiality (n = 14, 13.0%), and assessments of similarity between interim stages (n = 25, 23.1%). The mean score of the ACE checklist was 13.9 (standard deviation [SD], 3.5) out of 26. According to our multivariable regression analysis, later published trials (estimated β = 0.14, p < 0.01) and the multicenter trials (estimated β = 2.22, p < 0.01) were associated with better reporting.

conclusionAdaptive design has shown an increasing use over the years, and was primarily applied to early phase drug trials. However, the reporting quality of adaptive trials is suboptimal, and substantial efforts are needed to improve the reporting.

Indexed as

Randomized Controlled Trials as TopicResearch DesignAdaptive Clinical Trials as TopicChecklistClinical Trials, Phase II as TopicHumansAdaptive designGroup sequential designRandomized control trialReporting quality

Identifiers

PMID38840047
PMCPMC11151552

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.