Evidence map›Paper›PMID 40693272›Full record

ReviewFrontiers in pharmacology2025

The western transmission of traditional Chinese medicine: an investigation of the cultural elements of traditional Chinese medicine in biomedical systems of cross-Asia countries.

Aibibula Kadier, Mihray Ablimit, Hebibulla Tursun, Nuramatjan Ablat

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
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

4 authors.

Aibibula Kadier *College of Marxism, Xinjiang Normal University, Urumqi, China.
Mihray Ablimit *Xinjiang Uygur Autonomous Region Shache County Dunbag Township Health Center, Xinjiang, China.
Hebibulla Tursun *Department of History, Peking University, Beijing, China.
Nuramatjan Ablat *School of Mental Health, Bengbu Medical University, Bengbu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The globalization of Traditional Chinese Medicine (TCM) has facilitated its integration into healthcare systems beyond China, particularly in cross-Asia countries such as Japan, Korea, and Vietnam, while influencing biomedical practices worldwide. This review explores the cultural, historical, and scientific dimensions of TCM's transmission, focusing on how its foundational theories (e.g., Yin-Yang, Qi-Blood, and Five Elements) and practices (e.g., acupuncture, herbal formulations) have been adapted and validated in diverse sociocultural contexts. We analysed primary literature from data collected by PubMed, Google Scholar, CNKI, Web of Science, Bing, Baidu, and Scopus (1990-2024). Our review critically evaluates the scientific evidence supporting TCM-derived bioactive metabolites like artemisinin from Artemisia annua L. [Asteraceae] and berberine from Coptis chinensis Franch. [Ranunculaceae], examining their concentrations, bioavailability, and clinical applications. Challenges such as standardization, intellectual property disputes, and cultural reinterpretation are critically evaluated. This paper systematically argues that TCM's cross-cultural transmission reflects a dynamic interplay between tradition and modern biomedicine, offering a model for integrating traditional knowledge into global healthcare while highlighting the limitations of current research and areas requiring further investigation.

Indexed as

botanical drugscross-cultural transmissionethnopharmacologyglobal healthcare integrationtraditional Chinese medicine (TCM)Yin-Yang

Identifiers

PMID40693272
PMCPMC12277604

What OpenQuestion holds

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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.