Evidence map›Paper›PMID 41648940›Full record

ArticleJournal of global health2026

International collaborative research and development (R&D) on traditional medicine and its contextual factors: a cross-sectional analysis from 1996 to 2022.

Yinuo Sun, Jiyan Ma, Jingya Dong, Yiwu Gu, Myeong Soo Lee, Lin Ang, Yuming Liu, Yangmu Huang

Abstract read
In one paragraph

Article in Journal of global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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5 · Who and what money

Authors and funding

8 authors.

Yinuo SunDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Jiyan MaDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Jingya DongDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Yiwu GuSchool of Health Humanities, Peking University, Beijing, China.
Myeong Soo LeeKM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Lin AngKM Science Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Yuming LiuDepartment of Global Health, School of Public Health, Peking University, Beijing, China.
Yangmu HuangDepartment of Global Health, School of Public Health, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traditional medicines can contribute to achieving universal health coverage, particularly in low- and middle-income countries where access to conventional treatments is limited. International collaboration is crucial to bridge the lag in modernised research and promote access to traditional medicines. This study focused on China's global collaborative research and development (R&D) efforts on traditional medicine, in the hope of improving global recognition for traditional medicine. Methods: We conducted a cross-sectional study to analyse collaborative R&D outputs on Chinese patent medicines from 1996 to 2022. The study cohort included the collaborative outputs of scientific research, patent applications, and clinical trials between China and other countries. We analysed the outputs using data from the Web of Science, Worldwide Patent Statistical Database, and the International Clinical Trials Registry Platform. The Zero Inflated Negative Binomial regression model was employed to investigate the association between outputs and the characteristics of participating countries. Results: The majority of collaborative outputs (n = 964, 92.4%) originated from collaborations with high-income countries, with only 7.6% involving low- and middle- income countries (LMICs). The percentage of R&D collaborations with LMICs showed an increasing trend from 0% in 1996 to 11.7% in 2022. Most collaborations focused on non-communicable diseases (n = 912, 87.4%). Low-income countries accounted for a larger share of collaborative R&D on communicable diseases (14.3%) compared with high-income countries (1.4%). The total number of outputs was positively associated with the degree of cooperative institutionalisation and the collaborator's traditional medicine development score. Conclusions: Gaps still remain in the involvement of low- and middle-income members compared with high income countries. Findings highlight the importance of encouraging greater engagement of low- and middle- income countries in global R & D collaboration on traditional medicine, particularly through South-South partnerships. Such collaborations should prioritise research agendas that address local health priorities, especially those related to communicable diseases.

Indexed as

Biomedical ResearchInternational CooperationMedicine, TraditionalChinaCross-Sectional StudiesDeveloping CountriesHumans

Identifiers

PMID41648940
PMCPMC12879262

What Socratic holds

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LicenceCC BY
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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 Socratic graph.