Evidence map›Paper›PMID 35991840›Full record

ArticleTobacco prevention & cessation2022

Predictors of long-term abstinence in a randomized controlled trial of smoking cessation by mobile phone text messaging ('Happy Quit') in China.

Yanhui Liao, Yunfei Wang, Jinsong Tang, Qiuxia Wu, Zhenzhen Wu, Ann McNeill

Open access · goldAbstract read
In one paragraph

Article in Tobacco prevention & cessation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Trial
  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

6 authors at 5 institutions in 2 countries.

Yanhui LiaoDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Yunfei WangDepartment of Psychiatry, and National Clinical Research Center for Mental Disorders, the Second Xiangya Hospital of Central South University, China.
Jinsong TangDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Qiuxia WuDepartment of Psychiatry, and National Clinical Research Center for Mental Disorders, the Second Xiangya Hospital of Central South University, China.
Zhenzhen WuNingbo Kangning Hospital, Zhejiang Province, Ningbo, China.
Ann McNeillAddictions Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
Sir Run Run Shaw Hospital · CNCentral South University · CNKing's College London · GBNingbo Kangning Hospital · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe mobile phone-based text messaging intervention ('Happy Quit') is a minimal and effective intervention with very wide reach; thus, it has the possibility of a population impact on quitting rates. Obtaining information on predictors of long-term quit rates is crucial for developing and implementing more effective mobile-based interventions. The study aimed to explore the predictors of long-term abstinence following the 'Happy Quit' intervention.

methodsThis study is a secondary analysis of a randomized controlled trial (RCT) that compared 12-week text messaging intervention ('Happy Quit') versus control intervention with follow-up at 24 weeks, in China. Only participants who had biochemically verified continuous smoking abstinence at 24 weeks were followed up at 52 weeks after the quit date. This predictor regression analysis is for those who were biochemically verified continuous 52-week quitters (n=67) compared with the other participants (n=1302) in the RCT.

resultsOf the 69 smokers who were continuously abstinent at 24 weeks, 97.1% (n=67) remained continuously abstinent at 52 weeks. The biochemically verified long-term (52 weeks or 1year) quit rate was 6.3% in the intervention group (60/958), 1.7% in the control group (7/411) (OR=3.677; 95% CI: 1.67-8.11, p<0.001). Multivariable regression analysis revealed that only smoked ≤10 cigarettes per day (compared with >10 cigarettes per day) was the only predictor for long-term abstinence.

conclusionsThis study suggests that individuals who are light smokers might get the most benefit from the text messaging intervention ('Happy Quit') in China.

Indexed as

‘Happy Quit’long-term abstinencepredictorsrandomized controlled trialsmoking cessationtext messaging-based

Identifiers

PMID35991840
PMCPMC9354670
OpenAlexW4290080661

What OpenQuestion holds

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LicenceCC BY
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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.