Evidence map›Paper›PMID 40520795›Full record

SynthesisFrontiers in medicine2025

Efficacy and safety of traditional Chinese medicine in the treatment of chronic pulmonary diseases: a systematic review and meta-analysis.

Shan An, Hong-Yan Cai

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

2 authors.

Shan AnCollege of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.
Hong-Yan CaiPulmonology Department, The First Clinical Hospital of Jilin Academy of Traditional Chinese Medicine, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To assess the efficacy and safety of various TCMIs treatments for COPD using network meta-analysis, providing evidence and guidance for clinical practice. Methods: We will search 7 databases for randomized controlled trials of TCMI for the COPD, including PubMed, the Cochrane Library, EMbase, China National Knowledge Infrastructure, China Biological Medicine, Chinese Scientific Journals Database, and Wan-fang databases, from the date of the establishment of each database to October 31, 2021. The network meta-analysis will be implemented through Aggregate Data Drug Information System 1.16.8 and Stata13.0 software. Pulmonary function included forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC), and FEV1/FVC will be the primary outcomes, FEV1 as a percentage of the estimated value, maximal voluntary ventilation (MVV), MVV as a percentage of the estimated value, 6 min walking distance, The St. Results: A total of seven appropriate studies were identified, encompassing 490 patients. The quality of the literature was satisfactory, with no significant publication bias detected. The effectiveness rate for patients receiving a combination of TCM and Western Medicine (WM) compared to those on WM alone was evaluated as an odds ratio (OR), with statistical testing yielding Conclusion: The results of this study will evaluate the efficacy and safety of TCMI in the treatment of COPD, and provide decision-making references for future clinical and scientific research. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD420251047046, identifier CRD420251047046.

Indexed as

chronic obstructive pulmonary disease (COPD)injectionsmeta-analysissystematic reviewtraditional Chinese medicine

Identifiers

PMID40520795
PMCPMC12162991

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.