Evidence map›Paper›PMID 33241162›Full record

ReviewTobacco prevention & cessation2020

Effectiveness of mobile applications to quit smoking: Systematic review and meta-analysis.

Raquel Cobos-Campos, Arantza Sáez de Lafuente, Antxon Apiñaniz, Naiara Parraza, Iraida Pérez Llanos, Gorka Orive

Erratum issuedAbstract readReview
In one paragraph

Review in Tobacco prevention & cessation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Raquel Cobos-CamposBioaraba Health Research Institute, Epidemiology and Public Health research group, Vitoria-Gasteiz, Spain.
Arantza Sáez de LafuenteBioaraba Health Research Institute, Epidemiology and Public Health research group, Vitoria-Gasteiz, Spain.
Antxon ApiñanizBioaraba Health Research Institute, Epidemiology and Public Health research group, Vitoria-Gasteiz, Spain.
Naiara ParrazaBioaraba Health Research Institute, Epidemiology and Public Health research group, Vitoria-Gasteiz, Spain.
Iraida Pérez LlanosBioaraba Health Research Institute, Epidemiology and Public Health research group, Vitoria-Gasteiz, Spain.
Gorka OriveSchool of Pharmacy, Laboratory of Pharmaceutics, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTobacco is the leading cause of preventable mortality. The use of mobile phones has grown exponentially, becoming a powerful tool to be used in health care.

methodsIn order to assess the effectiveness of mobile phones to quit smoking, we have carried out a systematic review and meta-analysis of randomized clinical trials evaluating interventions based on mobile applications for smartphones, that were not a smaller version of the same application, against other types of therapy. To address this, a bibliographic search was carried out in MEDLINE, EMBASE and COCHRANE LIBRARY. To obtain the combined effect, the relative risk and the 95% confidence interval were used. A heterogeneity and sensitivity analysis were also conducted.

resultsA total of nine studies were identified, but five were excluded. Qualitative review was performed with four selected studies, but quantitative analysis was carried out for only three, given the impossibility of calculating the RR in one of the studies. After combining the results, an RR of 0.901 (95% CI: 0.57-1.423) was calculated comparing the effectiveness of mobile applications versus others type of interventions. This measure was robust, as shown by the sensitivity analysis.

conclusionsAccording to the results, it cannot be concluded that apps are effective for quitting tobacco. There are very few clinical trials published evaluating the effectiveness of mobile applications compared to other alternatives. Several clinical trials are still in progress, therefore their results have not been included in the present meta-analysis.

Indexed as

mobile applications MeSH Unique ID: D063731smoking cessationTelemedicine MeSH Unique ID: D017216

Identifiers

PMID33241162
PMCPMC7682489

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.