Evidence map›Paper›PMID 42394471›Full record

SynthesisJournal of evidence-based medicine2026

Evidence Map Analysis on Randomized Controlled Trials: Chinese Patent Medicines and Classic Traditional Chinese Medicine Prescriptions.

Xiaolei Wu, Yazi Zhang, Jinji Zhao, Haiyin Hu, Alice Josephine Fauci, Myeong Soo Lee, Zifan Sang, Danni Li, Ni Qin, Tianhui Sun and 5 more

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of evidence-based 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

15 authors.

Xiaolei WuTianjin University of Traditional Chinese Medicine, Tianjin, China.
Yazi ZhangTianjin University of Traditional Chinese Medicine, Tianjin, China.
Jinji ZhaoTianjin University of Traditional Chinese Medicine, Tianjin, China.
Haiyin HuHaihe Laboratory of Modern Chinese Medicine, Tianjin, China.
Alice Josephine FauciSino-Italian Joint Laboratory of Traditional Chinese Medicine, Italian National Institute of Health, Rome, Italy.
Myeong Soo LeeKorea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Zifan SangTianjin University of Traditional Chinese Medicine, Tianjin, China.
Danni LiTianjin University of Traditional Chinese Medicine, Tianjin, China.
Ni QinTianjin University of Traditional Chinese Medicine, Tianjin, China.
Tianhui SunTianjin University of Traditional Chinese Medicine, Tianjin, China.
Jiaqi YuTianjin University of Traditional Chinese Medicine, Tianjin, China.
Menglong ShiTianjin University of Traditional Chinese Medicine, Tianjin, China.
Boli ZhangTianjin University of Traditional Chinese Medicine, Tianjin, China.
Junhua ZhangTianjin University of Traditional Chinese Medicine, Tianjin, China.
Zhaochen JiTianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

National Natural Science Foundation of China 82505806The First Batch of Scientific and Technological Projects of Haihe Laboratory of Modern Traditional Chinese Medicine 25HHZYSS00023
6 · The paper itself

Abstract

objectivesTo evaluate the status and methodological quality of randomized controlled trials published in 2024 on Chinese patent medicines and Classic Traditional Chinese Medicine Prescriptions, providing evidence for clinical practice and policy.

methodsWe systematically searched multiple Chinese and English databases and trial registries for randomized controlled trials (RCTs) on Chinese patent medicines (CPMs) and Classic Traditional Chinese Medicine Prescriptions (CTCMPs) published in 2024. Two researchers independently screened studies, extracted data, and assessed methodological quality using the Cochrane RoB tool. Inter-rater reliability was evaluated using Kappa statistics and intraclass correlation coefficient. Spearman's correlation and Wilcoxon rank-sum tests were performed to analyze factors influencing methodological quality.

resultsIn 2024, 1874 RCTs were included (1550 CPM, 324 CTCMP). Circulatory and digestive diseases predominated in CPM and CTCMP studies, respectively. Two-arm "Chinese medicine plus Western medicine" designs were mainstream. CPM RCTs favored physical/chemical outcomes, while CTCMP RCTs prioritized symptoms/signs outcomes; 169 patient-reported outcomes were identified. Most studies had small samples (100 cases) and were single-center. Methodological quality revealed adequate randomization but serious deficiencies in allocation concealment and blinding. Ethics approval (CPM≈68.5%, CTCMP≈61.1%) and trial registration (CPM≈3.8%, CTCMP≈0.9%) were suboptimal. Funding, higher journal IF, and multicenter design were positively associated with ROB scores.

conclusionsThis evidence mapping reveals a significant disconnect between the quantity and quality of randomized controlled trials in Traditional Chinese Medicine. Persistent methodological weaknesses undermine evidence reliability. Future research should prioritize methodological rigor, adequate statistical power, and prospective trial registration. There is an urgent need to develop a dedicated evaluation framework that captures both methodological quality and clinical value.

Indexed as

Drugs, Chinese HerbalMedicine, Chinese TraditionalNonprescription DrugsRandomized Controlled Trials as TopicEvidence-Based MedicineHumansDrugs, Chinese HerbalNonprescription DrugsChinese patent medicineClassic Traditional Chinese Medicine Prescriptionsevidence‐based medicineevidence maprandomized controlled trials

Identifiers

PMID42394471
PMCPMC13613264

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.