Evidence map›Paper›PMID 33725021›Full record

ArticlePloS one2021

Knowledge of medical professionals, their practices, and their attitudes toward traditional Chinese medicine for the prevention and treatment of coronavirus disease 2019: A survey in Sichuan, China.

Jing Pu, He Mei, Li Lei, Daiwen Li, Jiekun Zhao, Bin Li, Haiyan Wang, Ying Ma, Xiao Bo Du

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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 1 institution in 1 country.

Jing PuDepartment of Traditional Chinese Medicine, Mianyang Central Hospital, Mianyang, Sichuan, China.
He MeiDepartment of Nursing, Mianyang Central Hospital, Mianyang, Sichuan, China.
Li LeiDepartment of Traditional Chinese Medicine, Mianyang Central Hospital, Mianyang, Sichuan, China.
Daiwen LiDepartment of Traditional Chinese Medicine, Mianyang Central Hospital, Mianyang, Sichuan, China.
Jiekun ZhaoDepartment of Traditional Chinese Medicine, Mianyang Central Hospital, Mianyang, Sichuan, China.
Bin LiDepartment of Traditional Chinese Medicine, Mianyang Central Hospital, Mianyang, Sichuan, China.
Haiyan WangDepartment of Nursing, Mianyang Central Hospital, Mianyang, Sichuan, China.
Ying MaScientific Research and Education Department, Mianyang Central Hospital, Mianyang, Sichuan, China.
Xiao Bo DuDepartment of Oncology, Mianyang Central Hospital, Mianyang, Sichuan, China.ORCID 0000-0001-6348-0636
Mianyang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the knowledge, practices, and attitudes of medical professionals toward Traditional Chinese Medicine (TCM) for the prevention and treatment of coronavirus disease 2019 (COVID-19). All 401 medical professionals were surveyed using an anonymous with an investigator using the Questionnaire star APP. The participants answered 14 questions; of the 401 participants, 55.2% agreed with the statement "TCM can be used for the prevention and treatment of COVID-19," 40.4% remained neutral, and 4.4% disagreed. Moreover, 75.3% agreed with the statement "There is no specific drug for COVID-19," 67% agreed with the statement "TCM can develop immunity to COVID-19" and 62.1% agreed with "TCM can alleviate the symptoms of patients with COVID-19." Meanwhile, 69.1% were aware that TCM has been recommended for COVID-19 by the National Health Commission of the People's Republic of China. Regarding the selection of sources of knowledge on whether "TCM can be used for the prevention and treatment of COVID-19," There were 277, 123, 82, 369, and 17 participants selected sources from "Hospital training," "Academic journals," "Academic Conferences," "Social media platforms (such as WeChat)" and "Others," respectively. Further, 358 participants will take TCM for the prevention of COVID-19. Multiple logistic regression analysis showed that age, major and received TCM treatment within the last five years were independent factors affecting the participants' attitudes. In the absence of specific drugs for COVID-19, more than half of the participants agreed that TCM could be used for the prevention and treatment of COVID-19 and most participants are willing to take TCM to prevent COVID-19, although unsure about its effectiveness. The main information sources on TCM for the treatment and prevention of COVID-19 were social platforms and hospital training.

Indexed as

AttitudeKnowledgeMedicine, Chinese TraditionalProfessionalismProfessional PracticeAdultChinaCOVID-19COVID-19 Drug TreatmentDrugs, Chinese HerbalFemaleHumansLogistic ModelsMaleMiddle AgedSARS-CoV-2Drugs, Chinese Herbal

Identifiers

PMID33725021
PMCPMC7963037
OpenAlexW3137460965

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.