Evidence map›Paper›PMID 39882033›Full record

ArticleTobacco induced diseases2025

Self-reported dyspnea and interest in a respiratory muscle training program among callers to the New York State Quitline.

Andrew D Ray, Ellen M Carl, Andrew J Hyland, Mary E Reid, Martin C Mahoney, Christine E Sheffer

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Andrew D RayDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, United States.
Ellen M CarlDepartment of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, United States.
Andrew J HylandDepartment of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, United States.
Mary E ReidDepartment of Cancer Screening, Survivorship and Mentorship, Roswell Park Comprehensive Cancer Center, Buffalo, United States.
Martin C MahoneyDepartment of Internal Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, United States.
Christine E ShefferDepartment of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, United States.

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI CANDACE S JOHNSON · 1985 to 2026
$116.6M
NCI NIH HHS P30 CA016056
6 · The paper itself

Abstract

introductionCigarette smoking is an important risk factor in the development of dyspnea. Programs designed to strengthen the respiratory muscles can improve dyspnea in people with or without lung disease. As a first step in understanding the feasibility of offering a respiratory muscle training (RMT) program to people who are seeking help to try to quit smoking, we asked callers who contacted the New York State Quitline about their dyspnea and potential interest in a home-based RMT program.

methodsConsecutive callers who contacted the New York State Quitline (n=1019) between 19 May and 9 June 2023 completed the Modified Medical Research Council (mMRC) dyspnea scale and reported their level of interest in RMT. Participants were categorized as: high breathlessness (HB: 0-1), or low breathlessness (LB: 2-4). We examined characteristic differences between participants who reported HB versus LB and examined differences in level of interest in home-based RMT.

resultsThose with HB were older [mean (SD): 61.3 (12.5) vs 53.6 (15.0) years, p<0.001], had more cumulative years of smoking [38.8 (15.1) vs 28.8 (15.4) years, p<0.001], smoked more cigarettes per day [19.3 (10.5) vs 17.3 (8.8), p<0.01], reported more disability (p<0.001) and chronic health conditions (78.5% vs 53.9%, p<0.001). Those with HB also expressed greater interest in RMT [7.8 (3.3) vs 6.2 (4.1), p<0.001].

conclusionsThese preliminary findings suggest that about 20% of quitline callers report clinically significant levels of breathlessness and most respondents, regardless of their level of breathlessness, report interest in a home-based RMT program, underscoring a potential opportunity to offer this program along with cessation support.

Indexed as

dyspnearespiratory musclesmokers

Identifiers

PMID39882033
PMCPMC11776376

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.