Evidence map›Paper›PMID 34256418›Full record

SynthesisPhytotherapy research : PTR2021

Contribution of traditional Chinese medicine combined with conventional western medicine treatment for the novel coronavirus disease (COVID-19), current evidence with systematic review and meta-analysis.

Fei Jiang, Nana Xu, Yanxi Zhou, Jinxing Song, Jinjuan Liu, Hong Zhu, Jihong Jiang, Yonghong Xu, Rongpeng Li

Open access · bronzeAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Phytotherapy research : PTR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 6 pooled it
6.6field-weighted citation impact, top 3% of its field
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

25 citing papers in PubMed, 6 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Herbal medicine for COVID-19: An overview of systematic reviews and meta-analysis.Phytomedicine : international journal of phytotherapy and phytopharmacology · 2022
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Article
  9. American journal of translational research · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Efficacy of Kan JangPharmaceuticals (Basel, Switzerland) · 2023
    Article
  16. Article
  17. Integrating Acupuncture into a Dialysis Center.Healthcare (Basel, Switzerland) · 2023
    Article
  18. Article
  19. Review
  20. 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

9 authors at 3 institutions in 1 country.

Fei JiangThe Key Laboratory of Biotechnology for Medicinal Plants of Jiangsu Province and School of Life Sciences, Jiangsu Normal University, Xuzhou, China.ORCID https://orcid.org/0000-0002-4462-0549
Nana XuThe Key Laboratory of Biotechnology for Medicinal Plants of Jiangsu Province and School of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Yanxi ZhouSchool of Medical Technology, Xuzhou Medical University, Xuzhou, China.
Jinxing SongThe Key Laboratory of Biotechnology for Medicinal Plants of Jiangsu Province and School of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Jinjuan LiuThe Key Laboratory of Biotechnology for Medicinal Plants of Jiangsu Province and School of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Hong ZhuInstitute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing, China.
Jihong JiangThe Key Laboratory of Biotechnology for Medicinal Plants of Jiangsu Province and School of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Yonghong XuThe Key Laboratory of Biotechnology for Medicinal Plants of Jiangsu Province and School of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Rongpeng LiThe Key Laboratory of Biotechnology for Medicinal Plants of Jiangsu Province and School of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Jiangsu Normal University · CNChinese Academy of Sciences · CNXuzhou Medical College · CN

Funding

National Natural Science Foundation of China 81870005Natural Science Foundation of the Jiangsu Higher Education Institutions of China 18KJA180003Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)Project of Xuzhou Applied and Basic Research KC18009Project of Xuzhou Applied and Basic Research KC20102
6 · The paper itself

Abstract

This study provides current evidence for efficacy and safety of treating COVID-19 with combined traditional Chinese medicine (TCM) and conventional western medicine (CWM). Six databases were searched from January 1 to December 31, 2020. Randomized controlled trials (RCTs), case-control studies (CCTs), and cohort studies on TCM or TCM combined with CWM treatment for COVID-19 were included. The quality of included RCTs was assessed by Cochrane risk of bias tool, and the Newcastle-Ottawa Scale (NOS) was used to assess the quality of cohort studies and CCTs. Review Manager 5.4 software was used to perform meta-analysis. The quality of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach. A total of 35 studies (3,808 patients) composing 19 RCTs and 16 observational studies were included. The results of meta-analysis revealed that comparing with CWM alone, integrated TCM and CWM had significant improvement in total effective rate, improvement rate of chest CT, the rate of disease progression, as well as improvement of fever, fatigue and cough. The overall quality of evidence was very low to moderate. In conclusion, TCM combined with CWM was a potential treatment option for increasing clinical effective rate, improving the clinical symptoms, and preventing disease progression in COVID-19 patients. High-quality clinical trials are required in the further.

Indexed as

COVID-19Drugs, Chinese HerbalHumansMedicine, Chinese TraditionalSARS-CoV-2Treatment OutcomeDrugs, Chinese HerbalCOVID-19integrative medicinemeta-analysissystematic reviewtraditional Chinese medicine

Identifiers

PMID34256418
PMCPMC8441775
OpenAlexW3181065987

What OpenQuestion holds

Textmetadata
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.