Evidence map›Paper›PMID 32798019›Full record

ReviewPhytomedicine : international journal of phytotherapy and phytopharmacology2021

Therapeutic options of TCM for organ injuries associated with COVID-19 and the underlying mechanism.

Jia-Li Zhang, Wen-Xiong Li, Yue Li, Man-Sau Wong, Yong-Jun Wang, Yan Zhang

Open access · greenAbstract readReview
In one paragraph

Review in Phytomedicine : international journal of phytotherapy and phytopharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
6.7field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Frontiers in pharmacology · 2024
    Review
  9. Article
  10. Article
  11. Ginsenosides are active ingredients inJournal of ginseng research · 2022
    Review
  12. Cells · 2022
    Article
  13. Article
  14. Article
  15. Traditional Chinese medicine in COVID-19.Acta pharmaceutica Sinica. B · 2021
    Review
  16. Article
  17. Toxicity as prime selection criterion among SARS-active herbal medications.Phytomedicine : international journal of phytotherapy and phytopharmacology · 2021
    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

6 authors at 3 institutions in 2 countries.

Jia-Li ZhangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Wen-Xiong LiLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Yue LiLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China.
Man-Sau WongDepartment of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China; State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation), Shenzhen 518057, China.
Yong-Jun WangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China; Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai 200032, China.
Yan ZhangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China; Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai 200032, China. Electronic address: medicineyan@aliyun.com.
Shanghai University of Traditional Chinese Medicine · CNHong Kong Polytechnic University · HKLonghua Hospital Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease-2019 (COVID-19) caused by infection with severe acute respiratory coronavirus-2 (SARS-CoV-2) has been spreading rapidly throughout China and in other countries since the end of 2019. The World Health Organization (WHO) has declared that the epidemic is a public health emergency of international concerns. The timely and appropriate measures for treating COVID-19 in China, which are inseparable from the contribution of traditional Chinese medicine (TCM), have won much praise of the world. PURPOSE: This review aimed to summarize and discuss the essential role of TCM in protecting tissues from injuries associated with COVID-19, and accordingly to clarify the possible action mechanisms of TCM from the perspectives of anti-inflammatory, antioxidant and anti-apoptotic effects.

methodsElectronic databases such as Pubmed, ResearchGate, Science Direct, Web of Science, medRixv and Wiley were used to search scientific literatures.

resultsThe present review found that traditional Chinese herbs commonly used for the clinical treatment of organ damages caused by COVID-19, such as Scutellaria baicalensis, Salvia miltiorrhizaSalvia miltiorrhiza, and ginseng, could act on multiple signaling pathways involved in inflammation, oxidative stress and apoptosis.

conclusionTCM could protect COVID-19 patients from tissue injuries, a protection that might be, at least partially, attributed to the anti-inflammatory, antioxidant and anti-apoptotic effects of the TCM under investigation. This review provides evidence and support for clinical treatment and novel drug research using TCM.

Indexed as

COVID-19 Drug TreatmentMedicine, Chinese TraditionalAnti-Inflammatory AgentsAntioxidantsApoptosisChinaDrugs, Chinese HerbalHumansInflammationOxidative StressSignal TransductionAnti-Inflammatory AgentsAntioxidantsDrugs, Chinese HerbalActive componentCoronavirus disease 2019Pharmacological mechanismSevere acute respiratory coronavirus-2Signaling pathwayTraditional Chinese medicine

Identifiers

PMID32798019
PMCPMC7405862
OpenAlexW3047124483

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.