Evidence map›Paper›PMID 38857946›Full record

ArticleBMJ global health2024

Useful or not? The discussion of traditional Chinese medicine to treat COVID-19 on a Chinese social networking site.

Di Wang, Jiahui Lu, Jiaming Zhou, Vincent Kam Wai Wong

Abstract read
In one paragraph

Article in BMJ global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Di WangFaculty of Humanities and Art, Macau University of Science and Technology, Taipa, Macao.ORCID http://orcid.org/0000-0003-2736-8369
Jiahui LuSchool of New Media and Communication, Tianjin University, Tianjin, China lujiahui@tju.edu.cn.
Jiaming ZhouFaculty of Arts and Social Sciences, National University of Singapore, Singapore.
Vincent Kam Wai WongDr. Neher's Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Taipa, Macao.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of traditional medicine is a global phenomenon, and the WHO advocated its appropriate integration into modern healthcare systems. However, there is a hot debate about the legitimacy of traditional medicine among the general public. Here, we investigated the debate in the Chinese digital context by analysing 1954 responses related to 100 questions about traditional Chinese medicine (TCM) treatment against COVID-19 on the Zhihu platform. Attitude function theory was applied to understand the reasons underlying public attitudes.Results showed that Zhihu users generally held a supportive attitude toward TCM. Their attitudes mainly came from their own experience and traditional media. The general users were more negative while medical professionals were more positive toward TCM. Ego defence (eg, derogating evidence sources) was used the most to support attitudes, followed by value expression (eg, believing in science). Supporters showed fewer expressions of faith (eg, the use of TCM is a kind of faith), politics (eg, supporting TCM is about politics) and science value (eg, TCM is a field of science), fewer ego defence, more patriotism and cultural confidence expressions (eg, TCM is a cultural pride) and more knowledge explanation (eg, TCM accelerates the metabolism of phlegm) than expected. Opposers showed fewer utilitarian and knowledge functions, fewer expressions of patriotism and more expressions of faith, politics and economics, but more ego defence functions than expected. Opposing posts were more likely to attract engagement than supporting and neutral posts. Posts that mentioned attitude functions generally attracted more engagement.Our findings indicate that TCM debate in modern China is not only relevant to medical science and health, but also rooted deeply in cultural ideology, politics and economics. The findings can provide global insights into the development of proactive policies and action plans that will help the integration of traditional medicine into modern healthcare systems.

Indexed as

COVID-19Medicine, Chinese TraditionalSARS-CoV-2AdultChinaCOVID-19 Drug TreatmentFemaleHumansMalePublic OpinionSocial NetworkingCOVID-19Public HealthSocial Media

Identifiers

PMID38857946
PMCPMC11168149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.