Evidence map›Paper›PMID 38746044›Full record

ReviewIntegrative medicine research2024

Traditional, complementary and integrative medicine for fatigue post COVID-19 infection: A systematic review of randomized controlled trials.

Xiao-Ying Chen, Chun-Li Lu, Qian-Yun Wang, Xing-Ru Pan, Yang-Yang Zhang, Jia-le Wang, Jun-Ya Liao, Nai-Chong Hu, Chen-Yang Wang, Bing-Jie Duan and 4 more

Abstract readReview
In one paragraph

Review in Integrative medicine research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. 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

14 authors.

Xiao-Ying ChenCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Chun-Li LuGuangdong Pharmaceutical University, Guangzhou, China.
Qian-Yun WangCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xing-Ru PanCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Yang-Yang ZhangCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Jia-le WangCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Jun-Ya LiaoCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Nai-Chong HuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Chen-Yang WangCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Bing-Jie DuanCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xue-Han LiuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xin-Yan JinCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Jennifer HunterHealth Research Group, Sydney, Australia.
Jian-Ping LiuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic fatigue is a predominant symptom of post COVID-19 condition, or long COVID. We aimed to evaluate the efficacy and safety of Traditional, Complementary and Integrative Medicine (TCIM) for fatigue post COVID-19 infection. Methods: Ten English and Chinese language databases and grey literature were searched up to 12 April 2023 for randomized controlled trials (RCTs). Cochrane "Risk of bias" (RoB) tool was applied. Evidence certainty was assessed using Grading of Recommendations Assessment, Development, and Evaluation (GRADE). Effect estimates were presented as risk ratio (RR) or mean difference (MD) with 95% confidence interval (CI). Results: Thirteen RCTs with 1632 participants were included. One RCT showed that Bufei Huoxue herbal capsules reduced fatigue (n=129, MD -14.90, 95%CI -24.53 to -5.27), one RCT reported that Ludangshen herbal liquid lowered fatigue (n=184, MD -1.90, 95%CI -2.38 to -1.42), and the other one RCT shown that fatigue disappearance rate was higher with Ludangshen herbal liquid (n=184, RR 4.19, 95%CI 2.06 to 8.53). Compared to traditional Chinese medicine rehabilitation (TCM-rahab) alone, one RCT showed that fatigue symptoms were lower following Qingjin Yiqi granules plus TCM-rehab (n=388, MD -0.48, 95%CI -0.50 to -0.46). Due to concerns with RoB and/or imprecision, the certainty in this evidence was low to very low. No serious adverse events was reported. Conclusions: Limited evidence suggests that various TCIM interventions might reduce post COVID-19 fatigue. Larger, high quality RCTs of longer duration are required to confirm these preliminary findings. Study Registration: The protocol of this review has been registered at PROSPERO: CRD42022384136.

Indexed as

Chronic fatigueComplementary medicineIntegrative medicinePost COVID conditionTraditional medicine

Identifiers

PMID38746044
PMCPMC11090862

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.