Evidence map›Paper›PMID 38855569›Full record

ArticleChina CDC weekly2024

Real-World Treatment Adherence to Smoking Cessation Medications and Association with Treatment Outcome - 27 Centers, China, 2017-2022.

Anqi Cheng, Zhao Liu, Xinmei Zhou, Zheng Su, Dan Xiao, Chen Wang, The China National Tobacco Cessation Cohort Study Cntccs Study Group

Abstract read
In one paragraph

Article in China CDC weekly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Anqi ChengDepartment of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention; National Center for Respiratory Medicine; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Zhao LiuDepartment of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention; National Center for Respiratory Medicine; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Xinmei ZhouDepartment of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention; National Center for Respiratory Medicine; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Zheng SuDepartment of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention; National Center for Respiratory Medicine; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Dan XiaoDepartment of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention; National Center for Respiratory Medicine; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Chen WangDepartment of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention; China National Center for Respiratory Medicine; China National Clinical Research Center for Respiratory Diseases, Beijing, China.
The China National Tobacco Cessation Cohort Study Cntccs Study GroupDepartment of Tobacco Control and Prevention of Respiratory Disease, Center of Respiratory Medicine, China-Japan Friendship Hospital; WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention; National Center for Respiratory Medicine; National Clinical Research Center for Respiratory Diseases; Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Medication non-adherence significantly impedes smoking cessation efforts. While effective smoking cessation medications are accessible in China, real-world adherence and its correlation with treatment outcomes remain largely unexplored. What is added by this report?: From December 2017 to January 2022, 1,120 participants were recruited from 27 centers in all seven geographical regions of China. Results revealed that only 38.2% of smokers adhered to the prescribed 12-week smoking cessation treatment and those with a higher education level were more likely to be adherent. In addition, smokers with good adherence were more likely to successfully quit smoking. What are the implications for public health practice?: The data obtained could enhance our understanding of smoking cessation practices in China. Improving adherence is a crucial strategy to enhance the effectiveness of smoking cessation treatments and management provided to smokers.

Indexed as

smoking cessation medicationtobacco controltreatment adherence

Identifiers

PMID38855569
PMCPMC11154102

What OpenQuestion holds

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Registered trials

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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.