ArticleTobacco induced diseases2018
A bibliometric analysis of clinical study literature of traditional Chinese medicine therapies for smoking cessation.
Article in Tobacco induced diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Acupuncture for smoking cessation: an overview of systematic reviews.Frontiers in public health · 2025Article
- Bibliometric analysis of traditional Chinese medicine for smoking cessation.Tobacco induced diseases · 2022Article
- Comparison between Acupuncture and Nicotine Replacement Therapies for Smoking Cessation Based on Randomized Controlled Trials: A Systematic Review and Bayesian Network Meta-Analysis.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Complementary and Alternative Medicine for Substance Use Disorders: A Scientometric Analysis and Visualization of Its Use Between 2001 and 2020.Frontiers in psychiatry · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionTraditional Chinese medicine (TCM) is commonly used for smoking cessation in China. The aim of this study is to perform a comprehensive literature search to identify clinical studies on TCM therapies for smoking cessation.
methodsPublications of randomized controlled trials, controlled clinical studies, cohort studies, case-control studies, case series and case reports, reviews and cross-sectional studies on smoking cessation using TCM therapies were retrieved from seven databases from their inception to February 2017. The following data were extracted and analyzed: study type, year of publication, language, country or region, journals, participants, intervention and comparison, and outcome.
resultsIn total, 260 publications on TCM therapies for smoking cessation were identified from 1980 to 2016, including 52 randomized clinical trials, 7 controlled clinical studies, 1 cohort study, 110 case series, 18 case reports, 50 narrative reviews, 17 systematic reviews, and 5 cross-sectional studies. Of these, 68.5% (178) were published in Chinese and the remaining published in English. Mainland China (n=129, 49.6%) was the leading country in this field, followed by USA (n=27, 10.4%) and UK (n=25, 9.6%). A total of 36 645 participants from 40 countries with age ranging from 12 to 86 years were involved in 188 clinical studies (excluding reviews and cross-sectional studies). The most commonly reported therapies were auricular acupressure (25, 13.3%), body acupuncture (14, 7.4%), and body acupuncture plus auricular acupressure (14, 7.4%). Composite outcomes were most frequently reported (110, 58.5%).
conclusionsA substantial number of clinical studies have been conducted and published on TCM therapy for smoking cessation, mainly focusing on acupuncture stimulation techniques. The findings suggest that future research should pay more attention to acupuncture for smoking cessation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.