Evidence map›Paper›PMID 40177557›Full record

ArticleActa pharmaceutica Sinica. B2025

Integrated evidence chain-based effectiveness evaluation of traditional Chinese medicines (Eff-iEC): A demonstration study.

Ye Luo, Xu Zhao, Ruilin Wang, Xiaoyan Zhan, Tianyi Zhang, Tingting He, Jing Jing, Jianyu Li, Fengyi Li, Ping Zhang and 12 more

Abstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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

22 authors.

Ye LuoSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.
Xu ZhaoDepartment of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Ruilin WangDepartment of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Xiaoyan ZhanDepartment of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Tianyi ZhangDepartment of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Tingting HeDepartment of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Jing JingDepartment of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Jianyu LiSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.
Fengyi LiDepartment of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Ping ZhangDepartment of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Junling CaoSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.
Jinfa TangThe First Affiliated Hospital of Henan University of Traditional Chinese Medicine, Zhengzhou 450000, China.
Zhijie MaBeijing Friendship Hospital of Capital Medical University, Beijing 100050, China.
Tingming ShenNingde Hospital of Traditional Chinese Medicine of Fujian Province, Ningde 352100, China.
Shuanglin QinHunan University of Chinese Medicine, Changsha 410208, China.
Ming YangJiangxi University of Traditional Chinese Medicine, Nanchang 330004, China.
Jun ZhaoDepartment of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Zhaofang BaiDepartment of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.
Jiabo WangSchool of Traditional Chinese Medicine, Capital Medical University, Beijing 100069, China.
Aiguo DaiHunan University of Chinese Medicine, Changsha 410208, China.
Xiangmei ChenState Key Laboratory of Kidney Diseases, Beijing 100853, China.
Xiaohe XiaoDepartment of Hepatology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing 100039, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addressing the enduring challenge of evaluating traditional Chinese medicines (TCMs), the integrated evidence chain-based effectiveness evaluation of TCMs (Eff-iEC) has emerged. This paper explored its capacity through a demonstration study that evaluated the effectiveness evidence of six commonly used anti-hepatic fibrosis Chinese patent medicines (CPMs), including Biejiajian Pill (BP), Dahuang Zhechong Pill (DZP), Biejia Ruangan Compound (BRC), Fuzheng Huayu Capsule (FHC), Anluo Huaxian Pill (AHP), and Heluo Shugan Capsule (HSC), using both Eff-iEC and the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system. The recognition of these CPMs within the TCM academic community was also assessed through their inclusion in relevant medical documents. Results showed that the evidence of BRC and FHC received higher assessments in both Eff-iEC and GRADE system, while the assessments for others varied. Analysis of community recognition revealed that Eff-iEC more accurately reflects the clinical value of these CPMs, exhibiting superior evaluative capabilities. By breaking through the conventional pattern of TCMs effectiveness evaluation, Eff-iEC offers a novel epistemology that better aligns with the clinical realities and reasoning of TCMs, providing a coherent methodology for clinical decision-making, new drug evaluations, and health policy formulation.

Indexed as

Anti-hepatic fibrosisChinese patent medicinesClinical experienceClinical trialsDemonstration studyExperimental researchIntegrated evidence chainTCM effectiveness evaluation

Identifiers

PMID40177557
PMCPMC11959914

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.