Evidence map›Paper›PMID 41723462›Full record

ArticleBMC medicine2026

The Trial Bank initiative to promote trustworthy living evidence for medication safety (PROMISE) of children: design and pilot validation.

Chang Xu, Suhail A Doi, Sunita Vohra, Luis Furuya-Kanamori, Yingxia Wang, Lijun Tang, Yuan Tian, Shiqi Fan, Zhen Peng, Evan Mayo-Wilson and 14 more

Abstract readValidation StudyEvidence Synthesis
In one paragraph

Article in BMC medicine, 2026. 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
–field-weighted citation impact
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

24 authors.

Chang XuProof of Concept Center, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital, Second Military Medical University, Naval Medical University, No.225 Changhai Road, Shanghai, China. xuchang2016@runbox.com.
Suhail A DoiDepartment of Population Medicine, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Sunita VohraDepartment of Pediatrics and Department of Psychiatry, Faculty of Medicine & Dentistry, University of Alberta, Edmonton, AB, Canada.
Luis Furuya-KanamoriUQ Centre for Clinical Research, Faculty of Medicine, University of Queensland, Brisbane, Australia.
Yingxia WangSchool of Pharmaceutical Sciences, Anhui Medical University, Anhui, China.
Lijun TangSchool of Pharmaceutical Sciences, Anhui Medical University, Anhui, China.
Yuan TianProof of Concept Center, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital, Second Military Medical University, Naval Medical University, No.225 Changhai Road, Shanghai, China.
Shiqi FanProof of Concept Center, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital, Second Military Medical University, Naval Medical University, No.225 Changhai Road, Shanghai, China.
Zhen PengProof of Concept Center, Eastern Hepatobiliary Surgery Hospital, Third Affiliated Hospital, Second Military Medical University, Naval Medical University, No.225 Changhai Road, Shanghai, China.
Evan Mayo-WilsonDepartment of Epidemiology, UNC Gillings School of Global Public Health, University of North Carolina-Chapel Hill, North Carolina, USA.
Lifeng LinDepartment of Epidemiology and Biostatistics, University of Arizona, Tucson, AZ, USA.
Haitao ChuStatistical Research and Data Science Center, Data Sciences and Analytics, Pfizer Inc, New York, NY, USA.
M Hassan MuradMayo Clinic Evidence-Based Practice Center, Rochester, MN, USA.
Tianqi YuUniversité Paris Cité, Research Center of Epidemiology and Statistics (CRESS-U1153), INSERM, Paris, France.
Sheyu LiDepartment of Endocrinology and Metabolism, Division of Guideline and Rapid Recommendation, Cochrane China Centre, MAGIC China Centre, Chinese Evidence-Based Medicine Centre, West China Hospital, Sichuan University, Chengdu, China.
Yaolong ChenEvidence-Based Social Science Research Centre, School of Public Health, Lanzhou University, Lanzhou, China.
Su GolderDepartment of Health Sciences, University of York, York, UK.
Yoon LokeNorwich Medical School, University of East Anglia, Norwich, UK.
Justin ClarkInstitute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Queensland, Australia.
Paul GlasziouInstitute for Evidence-Based Healthcare, Faculty of Health Sciences and Medicine, Bond University, Queensland, Australia.
Liang DuInnovation Institute for Integration of Medicine and Engineering, Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, China. duliang0606@vip.sina.com.
Houwen LinDepartment of Pharmacy, Punan Branch of Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. linhouwenrenji@163.com.
Zhichun GuDepartment of Pharmacy, Punan Branch of Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. guzhichun213@163.com.
PROMISE Collaborative Research Network

Funding

Academic leader training program of Pudong New Area Health Commission PWRd2023-02National Key Research and Development Program of China 2023YFC3605005National Natural Science Foundation of China 72204003, 72574229Talent Project established by Chinese Pharmaceutical Association Hospital Phamacy department CPA-Z05-ZC-2023-003
6 · The paper itself

Abstract

backgroundWhile medications are essential for preventing and treating disease, they can also cause harm. Evidence synthesis has been widely adopted for evaluating harms, but traditional methods are resource-intensive and may constrain timely decision-making. This study aims to validate a Trial Bank approach towards rapid evidence synthesis.

methodsA Trial Bank consisting of 13,650 RCTs of pharmaceutical or biopharmaceutical agents for children was established using artificial intelligence (AI) and humans, based on five databases (e.g., PubMed) up to February 14, 2023. The Trial Bank approach for evidence synthesis was validated in two ways: First, the percentage of trials within 1,996 Cochrane meta-analyses of drug safety in children that were also available in the Trial Bank was reported as the Trial Bank coverage (TBC). Second, the agreement of pooled effects from trials limited to those in the Trial Bank was compared to the full Cochrane meta-analyses in terms of their direction and statistical significance.

resultsOf 1,020 trials included in the Cochrane meta-analyses, there was an overall 80.2% TBC, with an average TBC of 85.7% per meta-analysis (n = 1,996). With regards to agreement of meta-analytical results, use of only the Trial Bank trials achieved an agreement of 93.0% (95% confidence interval [CI]: 90.8% to 94.8%) in the direction, 95.8% (95%CI: 94.0% to 97.2%) in significance, and 89.1% (95%CI: 94.0% to 97.2%) in both direction and significance to Cochrane meta-analytical results for meta-analyses that had 2 or more trials (n = 668). Sensitivity analysis by removing unpublished trials from Cochrane meta-analyses showed slightly higher agreement (e.g., 90.7% in both direction and significance).

conclusionsThe Trial Bank approach demonstrated considerable coverage and agreement with Cochrane meta-analyses, suggesting it is a potentially feasible and efficient strategy for supporting living evidence synthesis of medication safety in children.

Indexed as

Drug-Related Side Effects and Adverse ReactionsRandomized Controlled Trials as TopicChildDatabases, FactualHumansMeta-Analysis as TopicPilot ProjectsResearch DesignLiving evidenceMedication harmsRapid evidence synthesisTrial Bank

Identifiers

PMID41723462
PMCPMC13032608

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LicenceCC BY-NC-ND
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Registered trials

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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.