Evidence map›Paper›PMID 34692409›Full record

ArticleIntegrative medicine research2021

Traditional Chinese medicine for COVID-19 pandemic and emerging challenges: An online cross-sectional survey in China.

Chun-Li Lu, Ruo-Xiang Zheng, Xue Xue, Xiao-Wen Zhang, Xue-Han Liu, Xin-Yan Jin, Feng-Lan Pu, Hui-Di Lan, Min Fang, Ling-Yao Kong and 5 more

Open access · goldAbstract read
In one paragraph

Article 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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

15 authors at 2 institutions in 2 countries.

Chun-Li LuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Ruo-Xiang ZhengCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xue XueCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xiao-Wen ZhangCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xue-Han LiuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Xin-Yan JinCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Feng-Lan PuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Hui-Di LanCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Min FangCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Ling-Yao KongCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Merlin WillcoxPrimary care, Population Science and Medical Education, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Bertrand GrazAntenna Foundation, Geneva, Switzerland.
Joelle HourietAntenna Foundation, Geneva, Switzerland.
Xiao-Yang HuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Jian-Ping LiuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Beijing University of Chinese Medicine · CNUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to investigate use of infection control behaviours, preventative and therapeutic interventions, and outcomes among respondents to an online survey during the COVID-19 pandemic in China.

methodsThe survey was designed by an international team, translated and adapted to simplified Chinese, including 132 kinds of traditional Chinese medicine (TCM) preparation recommended by guidelines. It was distributed and collected from February to May 2021, with data analysed by WPS spreadsheet and

resultsThe survey was accessed 503 times with 341 (67.8%) completions covering 23 provinces and four municipalities in China. Most (282/341, 82.7%) respondents reported no symptoms during the pandemic and the majority (290/341, 85.0%) reported having a SARS-CoV-2 PCR test at some point. Forty-five (13.2%) reported having a respiratory infection, among which 19 (42.2%) took one or more categories of modern medicine, e.g. painkillers, antibiotics; 16 (35.6%) used TCM interventions(s); while seven respondents combined TCM with modern medicine. All respondents reported using at least one behavioural or medical approach to prevention, with 22.3% taking TCM and 5.3% taking modern medicines. No respondents reported having a critical condition related to COVID-19.

conclusionWe found evidence of widespread use of infection control behaviours, modern medicines and TCM for treatment and prevention of COVID-19 and other respiratory symptoms. Larger scale studies are warranted, including a more representative sample exploring TCM preparations recommended in clinical guidelines.

Indexed as

COVID-19Mental healthOnline surveyRespiratory symptomsTraditional Chinese medicine

Identifiers

PMID34692409
PMCPMC8524811
OpenAlexW3210669649

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.