Evidence map›Paper›PMID 42432647›Full record

ArticleBMC pulmonary medicine2026

Impact of personalized biomedical risk assessment on smoking cessation counselling in chronic obstructive pulmonary disease.

Mark William Youssef, Ronesh Sukhdeo, Lana Mogic, Rajesh Philip Girdhari, Eva Leek, Mohsen Sadatsafavi, Don D Sin, Jenna Sykes, Andrea S Gershon, Samir Gupta

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Article in BMC pulmonary medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Mark William YoussefDepartment of Medicine, University of Toronto, Toronto, Canada.
Ronesh SukhdeoLi Ka Shing Knowledge Institute of St. Michael's Hospital, Keenan Research Center, Unity Health, Toronto, Canada.
Lana MogicLi Ka Shing Knowledge Institute of St. Michael's Hospital, Keenan Research Center, Unity Health, Toronto, Canada.
Rajesh Philip GirdhariDepartment of Family and Community Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada.
Eva LeekDepartment of Respirology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto, Suite 6044, Bond Wing, 30 Bond St., Toronto, ON, M5B 1W8, Canada.
Mohsen SadatsafaviDivision of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
Don D SinDivision of Respiratory Medicine, Department of Medicine, University of British Columbia, Vancouver, BC, Canada.
Jenna SykesDepartment of Respirology, Department of Medicine, St. Michael's Hospital, Unity Health Toronto, Suite 6044, Bond Wing, 30 Bond St., Toronto, ON, M5B 1W8, Canada.
Andrea S GershonDepartment of Medicine, University of Toronto, Toronto, Canada.
Samir GuptaDepartment of Medicine, University of Toronto, Toronto, Canada. Samir.Gupta@unityhealth.to.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmoking cessation reduces mortality and improves quality of life in chronic obstructive pulmonary disease (COPD). Brief physician counselling is effective for smoking cessation, but counselling is often not provided. We designed a personalized biomedical risk assessment infographic depicting predicted future lung function decline and corresponding clinical consequences occurring with versus without smoking cessation, to trigger and facilitate smoking cessation counselling at the point-of-care. Herein, we determined feasibility of its real-world implementation and impact on care.

methodsThis was a feasibility study of usual care (pre-intervention period) (year 1) followed by the infographic (intervention period) (year 2), at a tertiary care center (St. Michael's Hospital - SMH, University of Toronto). We recruited pulmonologists and primary care providers who refer patients to the SMH pulmonary function laboratory (PFL). Current smokers with COPD referred for spirometry by consenting providers were provided with the infographic through the PFL software, with instructions to bring this to their provider for discussion. Co-primary behavioural outcomes measured through e-chart review were: changes in the proportion of visits in which patients (1) received smoking cessation counseling; and (2) were prescribed/recommended smoking cessation pharmacotherapy.

resultsThere were 87 (median age 66.0 years; 60.0% male) and 104 (67.5 years; 63.0% male) eligible patients in the pre-intervention and intervention periods, respectively. Smoking cessation counselling was delivered in 58/86 (67.4%) versus 96/119 (80.7%) eligible visits (p = 0.045) and smoking cessation pharmacotherapy in 10/86 (11.6%) versus 22/119 (18.5%) visits (p = 0.25) in the pre-intervention period and intervention period, respectively. Changes in respiratory medications were more common in the intervention period (33.6%) compared to the pre-intervention period (22.6%) (p < 0.001). These changes were seen despite successful delivery of the infographic in only 60/119 (50.4%) eligible visits. Provider feedback was highly favorable.

conclusionsDespite an intervention fidelity of only 50%, our study suggests that a personalized biomedical risk assessment infographic increases smoking cessation counselling rates and may alter COPD management. Generation of the infographic should be automated to improve delivery, and the intervention should then be evaluated for its impact on smoking cessation.

trial registrationThe study was registered on October 7

Indexed as

CounselingPulmonary Disease, Chronic ObstructiveSmoking CessationAgedFeasibility StudiesFemaleHumansMaleMiddle AgedQuality of LifeRisk AssessmentSmokingSmoking Cessation AgentsSpirometrySmoking Cessation AgentsBiomedical riskChronic obstructive pulmonary diseaseInfographicPersonalizedSmoking cessation

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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.