Evidence map›Paper›PMID 40671020›Full record

SynthesisJournal of translational medicine2025

Efficacy and safety of traditional Chinese medicine for post-COVID-19 syndrome: a systematic review and meta-analysis.

Yiting Wang, Xiao Li, Huaizheng Hui, Dianxing Yang

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Yiting Wang *College of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Sichuan, China.ORCID 0000-0002-0693-5224
Xiao Li *College of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Sichuan, China.
Huaizheng HuiDepartment of Endocrinology, Xi'an Hospital of Traditional Chinese Medicine, Xi'an, China. FzmdrH@163.com.
Dianxing YangCollege of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine, Sichuan, China. ydianxing@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPost-COVID-19 syndrome, characterized by persistent symptoms such as fatigue, dyspnea, cough, insomnia, and exercise intolerance, poses a significant challenge to global healthcare systems. Traditional Chinese Medicine (TCM) has been used to manage post-viral syndromes, but high-quality evidence for its effectiveness in post-COVID-19 recovery is limited. This study aimed to evaluate the clinical efficacy and safety of Chinese herbal medicine (CHM) in treating post-COVID-19 syndrome through a systematic review and meta-analysis of randomized controlled trials (RCTs).

methodsFive electronic databases (PubMed, Embase, Web of Science, Cochrane Library and CNKI) were systematically searched up to March 15, 2025. RCTs comparing CHM with placebo or usual care in patients with confirmed post-COVID-19 syndrome were included. Primary outcomes were symptom severity measured by the Visual Analogue Scale (VAS); secondary outcomes included relief rates of cough, fatigue, chest tightness, dyspnea, insomnia, and exercise intolerance. Data were pooled using a random-effects model, and heterogeneity was assessed using I

resultsTen RCTs involving 2401 patients were included. CHM showed a greater reduction in VAS scores compared to controls (MD = -1.03; 95% CI -2.10 to 0.03; P = 0.0577), with higher heterogeneity (I

conclusionsThis meta-analysis indicates that Traditional Chinese Medicine (TCM) may help relieve certain post-COVID-19 symptoms, especially chest tightness and insomnia. Trends toward benefit were also noted for fatigue and dyspnea, though without statistical significance. Given the non-significant VAS results and high heterogeneity, these findings should be interpreted cautiously. Further large-scale, high-quality trials are needed to validate these outcomes and optimize treatment strategies. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/home , CRD420251016442.

Indexed as

COVID-19COVID-19 Drug TreatmentDrugs, Chinese HerbalMedicine, Chinese TraditionalCoughFatigueHumansPost-Acute COVID-19 SyndromeRandomized Controlled Trials as TopicSARS-CoV-2Treatment OutcomeDrugs, Chinese HerbalEffectivenessLong COVIDPost-COVID-19 syndromeSafetyTraditional Chinese Medicine

Identifiers

PMID40671020
PMCPMC12269130

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.