Evidence map›Paper›PMID 32834949›Full record

ArticleActa pharmaceutica Sinica. B2020

Analysis on herbal medicines utilized for treatment of COVID-19.

Lu Luo, Jingwen Jiang, Cheng Wang, Martin Fitzgerald, Weifeng Hu, Yumei Zhou, Hui Zhang, Shilin Chen

Abstract read
In one paragraph

Article in Acta pharmaceutica Sinica. B, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Natural 7,8-secolignans fromJournal of traditional and complementary medicine · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Frontiers in pharmacology · 2024
    Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Effects of diarylbutane lignans fromPhytomedicine plus : international journal of phytotherapy and phytopharmacology · 2023
    Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

8 authors.

Lu LuoInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.
Jingwen JiangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu 610041 China.
Cheng WangInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100006, China.
Martin FitzgeraldAshdale Clinic, Cork T12 T2VK, Ireland.
Weifeng HuThe Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310000, China.
Yumei ZhouThe Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou 518033, China.
Hui ZhangAkupunktur Akademiet, Aabyhoej 8230, Denmark.
Shilin ChenInstitute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As coronavirus disease 2019 (COVID-19) pandemic poses a substantial global public health threat, traditional Chinese medicine (TCM) was used in 91.50% of the COVID-19 cases in China, showing encouraging results in improving symptom management and reducing the deterioration, mortality, and recurrence rates. A total of 166 modified herbal formulae consisting of 179 single herbal medicines were collected for treating COVID-19 in China. Glycyrrhizae Radix et Rhizome, Scutellariae Radix, and Armeniacae Semen Amarum are the most frequently utilized in clinics, most of which are antipyretic (47, 26.26%), expectorant and cough-suppressing (22, 12.29%), and dampness-resolving (21, 11.73%) from traditional descriptions. A total of 1212 chemical components containing

Indexed as

Clustering analysisCOVID-19Herbal medicinesScaffold analysisTraditional Chinese medicine (TCM)

Identifiers

PMID32834949
PMCPMC7251357

What OpenQuestion holds

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Registered trials

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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.