Evidence mapPaperPMID 37079352Full record

SynthesisJournal of medical Internet research2023

The Effectiveness of Smartphone App-Based Interventions for Assisting Smoking Cessation: Systematic Review and Meta-analysis.

Yi-Qiang Guo, Yuling Chen, Annette DeVito Dabbs, Ying Wu

2 registry-linked trialsAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
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.

NCT06443294 naunknown statusnot on this mapstarted 2024, after this paper: background citation

Development of a Smoking Cessation Video Series

TypeinterventionalSponsorWayne State UniversityRan2024 to 2024Enrolled120ConditionsTobacco Use Cessation, Tobacco SmokingArmsSmoking cessation video series.
NCT07593742 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Smoking Cessation Programme in Telerehabilitation Assisted by Telemonitoring With Non-Invasive Wearable Devices for the Improvement of Oral Health, General Health and Quality of Life

TypeinterventionalSponsorUniversity of SalernoRan2026 to 2027Enrolled102ConditionsSmoking ( Cigarette), Smoking (Tobacco) Addiction, Smoking Behaviors, Smoking CessationArmsTelemedicine-Based Smoking Cessation Program, Conventional Smoking Cessation Behavioral Program
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  8. The Efficacy of the SinHumo App Combined With a Psychological Treatment to Quit Smoking: A Randomized Clinical Trial.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
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  9. Trial
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  12. Review
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  14. Review
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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

4 authors.

Yi-Qiang GuoSchool of Nursing, Capital Medical University, Beijing, China.ORCID 0000-0003-4066-2052
Yuling ChenJohns Hopkins University School of Nursing, Baltimore, MD, United States.ORCID 0000-0001-8273-0442
Annette DeVito DabbsSchool of Nursing, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0003-3325-435X
Ying WuSchool of Nursing, Capital Medical University, Beijing, China.ORCID 0000-0002-8633-5404

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking is a leading cause of premature death globally. Quitting smoking reduces the risk of all-cause mortality by 11%-34%. Smartphone app-based smoking cessation (SASC) interventions have been developed and are widely used. However, the evidence for the effectiveness of smartphone-based interventions for smoking cessation is currently equivocal.

objectiveThe purpose of this study was to synthesize the evidence for the effectiveness of smartphone app-based interventions for smoking cessation.

methodsWe conducted a systematic review and meta-analysis of the effectiveness of smartphone interventions for smoking cessation based on the Cochrane methodology. An electronic literature search was performed using the Cochrane Library, Web of Science, PubMed, Embase, PsycINFO, China National Knowledge Infrastructure, and Wanfang databases to identify published papers in English or Chinese (there was no time limit regarding the publication date). The outcome was the smoking abstinence rate, which was either a 7-day point prevalence abstinence rate or a continuous abstinence rate.

resultsA total of 9 randomized controlled trials involving 12,967 adults were selected for the final analysis. The selected studies from 6 countries (the United States, Spain, France, Switzerland, Canada, and Japan) were included in the meta-analysis between 2018 and 2022. Pooled effect sizes (across all follow-up time points) revealed no difference between the smartphone app group and the comparators (standard care, SMS text messaging intervention, web-based intervention, smoking cessation counseling, or apps as placebos without real function; odds ratio [OR] 1.25, 95% CI 0.99-1.56, P=.06, I

conclusionsThis systematic review and meta-analysis did not support the effectiveness of delivering smartphone-based interventions alone to achieve higher smoking abstinence rates. However, the efficacy of smartphone-based interventions increased when combined with pharmacotherapy-based smoking cessation approaches.

trial registrationPROSPERO CRD42021267615; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=267615.

Indexed as

Mobile ApplicationsSmoking CessationAdultHealth BehaviorHumansRandomized Controlled Trials as TopicSmartphoneSmokingadultapplicationeffectivenesseHealthelectronicinterventionmeta-analysismHealthpharmacotherapysmartphone appsmokingsmoking cessation

Identifiers

PMID37079352
PMCPMC10160935

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.