Evidence map›Paper›PMID 38026501›Full record

ArticleTobacco induced diseases2023

Traditional Chinese medicine for smoking cessation: An umbrella review of systematic reviews and meta-analysis of randomized controlled trials.

Chun-Li Lu, Xin-Yan Jin, Qian-Yun Wang, Xiao-Ying Chen, Ruo-Xiang Zheng, Chao-Jie Wang, Jing-Jing Jiang, Shu-Yu Qiao, Si-Hong Yang, Wei-Han Zhang and 9 more

Open access · goldAbstract read
In one paragraph

Article in Tobacco induced diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

19 authors at 9 institutions in 2 countries.

Chun-Li LuCentre 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.
Qian-Yun WangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xiao-Ying ChenDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Ruo-Xiang ZhengCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Chao-Jie WangDepartment of the Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Jing-Jing JiangGraduate Institute of Interpretation and Translation, Shanghai International Studies University, Shanghai, China.
Shu-Yu QiaoCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Si-Hong YangCenter of Evidence-Based Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, China.
Wei-Han ZhangSchool of Public Health, Peking University, Beijing, China.
Si-Yi ChenSchool of Qihuang, Chinese Medicine, Beijing University, Beijing, China.
Jia-Xuan LiAffiliated Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei University of Traditional Chinese Medicine, Wuhan, China.
Xue-Han LiuCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Yu-Si SuoCentre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China.
Jian-Hua WangSchool of Traditional Chinese Medicine, Liaoning University of Traditional Chinese Medicine, Liaoning, China.
Xue XueAffiliated Hubei Provincial Hospital of Traditional Chinese Medicine, Hubei University of Traditional Chinese Medicine, Wuhan, China.
Li-Rong LiangDepartment of Research on Tobacco Dependence Therapies, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
Nicola RobinsonCentre 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 · CNDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CNHubei Provincial Hospital of Traditional Chinese Medicine · CNCapital Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNHeilongjiang University of Chinese Medicine · CNLiaoning University of Traditional Chinese Medicine · CNPeking University · CNShanghai International Studies University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTraditional Chinese medicine (TCM) may have special advantages in facilitating smoking cessation, but consensus on effectiveness is lacking. We aim to comprehensively review, update, and refine current evidence on TCM effectiveness and safety.

methodsNine databases were searched from their inception up to 28 February 2023. Systematic reviews (SRs) and meta-analysis of TCM for smoking cessation were identified and retrieved. Additional databases and hand searches of RCTs from included SRs were performed for data pooling. Cochrane ROB tools and AMSTAR-2 were used to evaluate the methodological quality of RCTs and SRs, respectively. RCT data are presented as relative risks (RR) or mean differences (MD) with 95% confidence intervals (CI) using RevMan 5.4.

resultsThirteen SRs involving 265 studies with 33081 participants were included. Among these 265 studies, 157 were duplicates (58.36%) and 52 were non-RCTs (19.62%). Combined with the remaining 56 RCTs identified through hand searches, 88 RCTs involving 12434 participants were finally included for data synthesis. All the SRs focused on acupoint stimulation, and the majority were of low or very low quality. The methodological quality of RCTs was either unclear or high risk. For continuous abstinence rate, TCM external interventions were better than placebo in 6 months to 1 year (RR=1.60; 95% CI: 1.14-2.25; I

conclusionsDespite the methodological limitations of the original studies, our review suggests that TCM intervention shows potential effectiveness on the continuous abstinence rate. Extending the intervention time can enhance the effect of TCM on nicotine withdrawal symptoms. Referred to adverse events, more data for safety evaluation are required.

Indexed as

acupoint stimulationsmoking cessationsystematic reviewtobacco withdrawal syndrometraditional Chinese medicine

Identifiers

PMID38026501
PMCPMC10647068
OpenAlexW4388698944

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.