Evidence map›Paper›PMID 32195370›Full record

ArticleNPJ digital medicine2020

A randomized controlled trial of a smoking cessation smartphone application with a carbon monoxide checker.

Katsunori Masaki, Hiroki Tateno, Akihiro Nomura, Tomoyasu Muto, Shin Suzuki, Kohta Satake, Eisuke Hida, Koichi Fukunaga

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ digital medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 9 pooled it
7.2field-weighted citation impact, top 2% 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

64 citing papers in PubMed, 9 syntheses or guidelines pooled it, 107 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. A Scoping Review and Meta-analysis of the Use of Remote Biochemical Verification Methods of Smoking Status in Tobacco Research.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Pooled it
  6. Effectiveness and Acceptability of Conversational Agents for Smoking Cessation: A Systematic Review and Meta-analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Pooled it
  7. Pooled it
  8. Pooled it
  9. Smoking Cessation Apps: A Systematic Review of Format, Outcomes, and Features.International journal of environmental research and public health · 2021
    Pooled it
  10. Trial
  11. 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
    Trial
  12. Trial
  13. Trial
  14. Trial
  15. An Automated, Online Feasibility Randomized Controlled Trial of a Just-In-Time Adaptive Intervention for Smoking Cessation (Quit Sense).Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Trial
  16. Trial
  17. Trial
  18. Trial
  19. Trial
  20. Review

4 more citing papers are in PubMed but not listed here.

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

8 authors at 3 institutions in 1 country.

Katsunori Masaki1Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-0909-9409
Hiroki Tateno1Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Akihiro NomuraCureApp Institute, Karuizawa, Nagano, Japan.
Tomoyasu MutoCureApp Institute, Karuizawa, Nagano, Japan.ORCID 0000-0003-3427-458X
Shin SuzukiCureApp, Inc, Tokyo, Japan.
Kohta SatakeCureApp Institute, Karuizawa, Nagano, Japan.ORCID 0000-0002-1035-4481
Eisuke Hida7Department of Biostatistics and Data Science, Osaka University Graduate School of Medicine, Osaka, Japan.
Koichi Fukunaga1Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Keio University · JPKanazawa University · JPThe University of Osaka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence of the long-term efficacy of digital therapies for smoking cessation that include a smartphone application (app) is limited. In this multi-center randomized controlled trial, we tested the efficacy of a novel digital therapy for smoking cessation: the "CureApp Smoking Cessation (CASC)" system, including a CASC smartphone app, a web-based patient management PC software for primary physicians, and a mobile exhaled carbon monoxide (CO) checker. A total of 584 participants with nicotine dependence were recruited from October 2017 to January 2018, and allocated 1:1 to the CASC intervention group or the control group. Both groups received a standard smoking cessation treatment with pharmacotherapy and counseling for 12 weeks. Meanwhile, the intervention group used the CASC system, and the control group used a control-app without a mobile CO checker, each for 24 weeks. The primary outcome was the biochemically validated continuous abstinence rate (CAR) from weeks 9 to 24. The main secondary outcome was an extended CAR from weeks 9 to 52. Except for 12 participants who did not download or use the apps, 285 participants were assigned to the intervention group, and 287, to the control. CAR from weeks 9 to 24 in the intervention group was significantly higher than that in the control group (63.9% vs. 50.5%; odds ratio [OR], 1.73; 95% confidence interval [CI], 1.24 to 2.42;

Indexed as

Preventive medicineRespiratory tract diseasesRisk factors

Identifiers

PMID32195370
PMCPMC7067789
OpenAlexW3010960582

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.