Evidence map›Paper›PMID 41477657›Full record

ReviewPreventive medicine reports2026

Tobacco cessation strategies in military personnel: A meta-analysis of randomized trials.

Javad Heshmati, Aidan Abraham, Jake Miles, Mason John Thomas Anderson, Gordon Guyatt, Hassan Mir

Abstract readReview
In one paragraph

Review in Preventive medicine reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Javad HeshmatiDivision of Cardiology, University of Ottawa Heart Institute, Ottawa, Canada.
Aidan AbrahamFaculty of Medicine, University of Ottawa.
Jake MilesFaculty of Medicine, University of Ottawa.
Mason John Thomas AndersonFaculty of Medicine, University of Ottawa.
Gordon GuyattDepartment of Health Research Methods, Evidence, and Impact; McMaster University, Hamilton, ON, Canada.
Hassan MirDivision of Cardiology, University of Ottawa Heart Institute, Ottawa, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the effectiveness of behavioural and pharmacological tobacco cessation interventions among active-duty military personnel and veterans. Methods: We followed PRISMA guidelines to assess the efficacy of behavioural and pharmacological interventions on tobacco cessation in military populations. Randomized controlled trials were identified through PubMed (from 1966), Web of Science (from 1900), Scopus (from 1960), and the Cochrane Library/CENTRAL (from 1991) from database inception to July 2024. Random-effect models were used to estimate odds ratios and 95 % confidence intervals. Results: Five randomized controlled trials involving a total of 2619 participants were included. Seven-day point prevalence abstinence was significantly increased at short-term (≤ 3 months) (OR 2.03 [95 % CI: 1.49, 2.77], low certainty) and long-term (≥ 6 months) (OR 1.53 [95 % CI: 1.12, 2.09], low certainty) follow-ups among those receiving interventions compared with controls. Subgroup analyses were conducted by type of personnel, tobacco product, intervention type, and sex. Conclusions: These findings highlight the need for stronger, accessible, and military-tailored cessation programs, particularly for veterans who show lower quit rates. Expanding high-quality randomized trials that test modern cessation approaches in diverse military populations is essential to inform future policy and clinical practice.

Indexed as

MilitarySmokingSmoking cessationTobaccoVeterans

Identifiers

PMID41477657
PMCPMC12752791

What OpenQuestion holds

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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.