Evidence map›Paper›PMID 40809953›Full record

ReviewInternational journal of general medicine2025

Traditional Chinese Medicine Treating Dilated Cardiomyopathy: A Literature Review.

Hua Fan, Mengjiao Ma, Longping Peng, Feifei Liu, Tianyi Feng, Youhua Wang

Abstract readReview
In one paragraph

Review in International journal of general medicine, 2025. 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

6 authors.

Hua FanCardiovascular Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Mengjiao MaCardiovascular Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.ORCID 0009-0003-3299-0272
Longping PengCardiovascular Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Feifei LiuCardiovascular Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Tianyi FengCardiovascular Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.
Youhua WangCardiovascular Department, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dilated cardiomyopathy (DCM), as a difficult problem in modern medical treatment, has become an important cardiovascular disease threatening human beings all over the world with an increasing incidence rate and mortality. Conservative drug therapy is mainly used in clinical practice, but due to unavoidable adverse reactions such as low blood pressure, it is often difficult to achieve satisfactory prognosis. Traditional Chinese medicine has the characteristics of syndrome differentiation and multi-target treatment for DCM, with few adverse reactions and certain advantages. It has achieved good therapeutic effects in clinical practice. Therefore, we summarized and analyzed the clinical evidence and mechanism of traditional Chinese medicine in the treatment of DCM, and combined with the current research status of this disease to analyze the problems and shortcomings, in order to provide more ideas and methods for the treatment of DCM with traditional Chinese medicine.

Indexed as

clinical evidencedilated cardiomyopathypotential mechanismsresearch progresstraditional Chinese medicine

Identifiers

PMID40809953
PMCPMC12343333

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.