Evidence map›Paper›PMID 34642626›Full record

ReviewIntegrative medicine research2021

Multimode participation of traditional Chinese medicine in the treatment of COVID-19.

Tieying Dai, Leyin Zhang, Xinyang Dai, Xinran Zhang, Beibei Lu, Yuxi Zheng, Deyi Shen, Yici Yan, Congqi Ji, Jieru Yu and 1 more

Abstract readReview
In one paragraph

Review in Integrative medicine research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Herbal medicine for COVID-19: An overview of systematic reviews and meta-analysis.Phytomedicine : international journal of phytotherapy and phytopharmacology · 2022
    Pooled it
  2. Pooled it
  3. Observational
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Treatment efficacy of Lianhua Qingwen capsules for eraly-stage COVID-19.American journal of translational research · 2022
    Article
  10. Article
  11. 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

11 authors.

Tieying DaiDepartment of Hematology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.
Leyin ZhangDepartment of Oncology, Hangzhou TCM Hospital of Zhejiang Chinese Medical University (Hangzhou Hospital of Traditional Chinese Medicine), Hangzhou, China.
Xinyang DaiThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Xinran ZhangThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Beibei LuThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Yuxi ZhengThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Deyi ShenThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Yici YanThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Congqi JiThe First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Jieru YuSchool of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Leitao SunDepartment of Medical Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe outbreak of COVID-19 has swiftly spread across China and all over the world, resulting in severe contagious pneumonia. However, no specific anti-COVID-19 drugs or methods are available for the treatment of this acute and fatal disease. In recent years, as the efficacy and safety of traditional Chinese medicine (TCM) have been universally acknowledged, it has been brought to a crucial status domestically and overseas for the treatment of COVID-19.

methodsWe searched relevant literature, electronic databases, and official statements, diagnoses and protocols to retrieve studies and applications related to traditional Chinese medicine for COVID-19 in terms of regulations and policies, clinical evidence, preclinical rationale and big data analysis and then summarized the discovery and development of potential drugs and their targets.

resultsClinicians, researchers, governments, the public, colleges, institutes and companies collected and classified associated policies, regulations and actual contributions, searched clinical trials and preclinical experimental outcomes from databases, studied potential TCM drugs with possible mechanisms, retrieved numerous big data analysis method and gathered pooled results of compounds along with their effective targets to make traditional Chinese medicine vital to cover all stages of patients in the treatment and control of COVID-19.

conclusionTraditional Chinese medicine provides new evidence to support the clinical value of TCM for COVID-19.

Indexed as

COVID-19Multimode participationTraditional Chinese medicine (TCM)Treatment

Identifiers

PMID34642626
PMCPMC8496941

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.