Evidence map›Paper›PMID 38090104›Full record

ArticleTobacco prevention & cessation2023

Smoking cessation after myocardial infarction: Findings from a cross-sectional survey in Armenia.

Varduhi Hayrumyan, Arusyak Harutyunyan, Tsovinar Harutyunyan

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Tobacco prevention & cessation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07230249 (Effect of a Behavioral Intervention Delivered Via Telegram Messenger on Smoking Cessation in Patients After Myocardial Infarction), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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.

NCT07230249 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Effect of a Behavioral Intervention Delivered Via Telegram Messenger on Smoking Cessation in Patients After Myocardial Infarction: The TELEGRAM-MI Randomized Controlled Trial

TypeinterventionalSponsorITMO UniversityRan2026 to 2027Enrolled142ConditionsMyocardial Infarction (MI), Tobacco Use, Smoking CessationArmsTelegram-based Smoking Cessation Support, Standard Care (in control arm)
3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  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

3 authors at 1 institution in 1 country.

Varduhi HayrumyanTurpanjian College of Health Sciences, American University of Armenia, Yerevan, Armenia.
Arusyak HarutyunyanTurpanjian College of Health Sciences, American University of Armenia, Yerevan, Armenia.
Tsovinar HarutyunyanTurpanjian College of Health Sciences, American University of Armenia, Yerevan, Armenia.
American University of Armenia · AM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe effectiveness of smoking cessation in preventing myocardial infarction (MI) and reducing its recurrence, morbidity and mortality is well established. Only half of the patients quit or reduce smoking after hospitalization. The study examined smoking cessation practices and factors associated with it at 6-12 months after hospitalization among smoker patients diagnosed with MI.

methodsA cross-sectional survey (2016-2017) was conducted among smoker adult patients who were diagnosed with MI and were hospitalized at the largest cardiac hospital (Nork-Marash Medical Center) in Armenia. Data collection was conducted via medical record review and an interviewer-administered telephone survey (n=230). The patients were classified as non-quitters or quitters (those had not smoked even a puff within the past 30 days). Multivariate logistic regression analysis was used to examine factors associated with smoking cessation at 6-12 months post-hospitalization addressing multicollinearity with two separate regression models.

resultsThe mean age of participants was 58.3 years and 98.3% were males. Though almost all MI patients attempted to quit, only 52.2% were successful abstainers at 6-12 months after hospitalization. Significant predictors of quitting included higher self-efficacy (AOR=1.07; 95% CI: 1.03-1.11, p<0.001), lower tobacco dependence (AOR=0.81; 95% CI: 0.66-1.00, p=0.050), not having family members who smoked (Model 1: AOR=0.24; 95% CI: 0.08-0.70, p=0.009; and Model 2: AOR=0.24; 95% CI: 0.09-0.67, p=0.006), having other hospitalization after MI due to heart disease (Model 1: AOR=5.42; 95% CI: 1.50-19.65, p=0.010; and Model 2: AOR=4.20; 95% CI: 1.32-13.31, p=0.015), higher number of household members (Model 1: AOR=1.83; 95% CI: 1.27-2.64, p=0.001; and Model 2: AOR=1.68; 95% CI: 1.20-2.35, p=0.002), and having at least one comorbidity (Model 1: AOR=4.20; 95% CI: 1.47-12.04, p=0.008; and Model 2: AOR=3.74; 95% CI: 1.40-9.97; p=0.008).

conclusionsThe study emphasized the need for integrating evidence-based cessation services and targeted help for hospitalized MI patients in Armenia. Interventions should aim to improve self-efficacy, effectively treat dependence, and consider patients' social environment while providing cessation assistance.

Indexed as

coronary heart diseasemyocardial infarctionquittingself-efficacysmoking cessationtobacco-dependence

Identifiers

PMID38090104
PMCPMC10711685
OpenAlexW4389571964

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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 OpenQuestion graph.