Evidence map›Paper›PMID 34371253›Full record

ArticleCancer treatment and research communications2021

Self-reported exercise capacity among current smokers eligible for lung cancer screening: Distribution and association with key comorbidities.

Anne C Melzer, Abbie Begnaud, Bruce R Lindgren, Kelsey Schertz, Steven S Fu, David M Vock, Alexander J Rothman, Anne M Joseph

Abstract read
In one paragraph

Article in Cancer treatment and research communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Anne C MelzerCenter for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, United States; Division of Pulmonary, Allergy, Critical Care and Sleep, University of Minnesota Medical School, United States. Electronic address: acmelzer@umn.edu.
Abbie BegnaudDivision of Pulmonary, Allergy, Critical Care and Sleep, University of Minnesota Medical School, United States.
Bruce R LindgrenMasonic Cancer Center, University of Minnesota, United States.
Kelsey SchertzDepartment of Medicine, University of Minnesota Medical School, United States.
Steven S FuCenter for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, United States; Department of Medicine, University of Minnesota Medical School, United States.
David M VockDivision of Biostatistics, School of Public Health, University of Minnesota, United States.
Alexander J RothmanDepartment of Psychology, University of Minnesota, United States.
Anne M JosephMasonic Cancer Center, University of Minnesota, United States; Department of Medicine, University of Minnesota Medical School, United States.

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Douglas Yee · 1998 to 2026
$100.4M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Adaptive Interventions for Smoking Cessation in Lung Cancer Screening ProgramsR01CA196873 · NCI · UNIVERSITY OF MINNESOTA · PI JOSEPH, ANNE · 2015 to 2019
$3.4M
Effectiveness of Proactive Tobacco Treatment in Diverse Low Income SmokersR01CA141527 · NCI · UNIVERSITY OF MINNESOTA · PI FU, STEVEN, JOSEPH, ANNE · 2009 to 2014
$2.4M
Electronic Proactive Outreach for Smokers with COPD: Engaging patients to quitIK2HX003067 · VA · MINNEAPOLIS VA MEDICAL CENTER · PI Anne Catherine Melzer · 2020 to 2026
–
HSRD VA IK2 HX003067NCATS NIH HHS UL1 TR002494NCI NIH HHS P30 CA077598NCI NIH HHS R01 CA141527NCI NIH HHS R01 CA196873
6 · The paper itself

Abstract

one concernas lung cancer screening (LCS) is implemented is that patients will be screened who are too ill to benefit. Poor exercise capacity (EC) predicts adverse outcomes following lung resection.

objectiveDescribe the distribution of EC among smokers eligible for LCS and examine associations with comorbidities.

methodsCross-sectional analysis of baseline data from a randomized controlled trial of tobacco treatment in the context of LCS. Participants responded regarding limitations in moderate activities, ability to climb stairs, and frequency of dyspnea on a scale from never/almost never to all or most of the time. Responses were assigned a numeric score and summed to categorize exercise limitation. Associations between poor EC and key comorbidities were examined using adjusted logistic regression.

results660 participants completed a survey with the following characteristics: 64.4% male, 89.5% white, mean age 64.5. Overall EC categories were: good 39.0%, intermediate 41.6%, and poor 19.4%.  Prevalence of poor EC was higher among patients with COPD (OR 4.62 95%CI 3.05-7.02), heart failure (OR 3.07 95%CI 1.62-5.82) and cardiovascular disease (OR 2.24, 95%CI 1.45-3.47), and was highest among patients with multimorbidity. Among patients with COPD and heart failure, 57% had poor and 0% had good EC. In adjusted logistic regression, only COPD and Charlson comorbidity index remained significantly associated with poor EC.

conclusionsMany patients eligible for LCS reported poor EC, with increased odds of poor EC among patients with comorbidities. More research is needed to determine how to best integrate EC and comorbidity into eligibility and shared decision-making conversations.

Indexed as

ComorbidityCross-Sectional StudiesEarly Detection of CancerExerciseFemaleHumansLung NeoplasmsMaleMiddle AgedSelf ReportSmokersCancer screeningComorbidityExercise capacityFunctional capacityLung cancerLung cancer screeningMultimorbidity

Identifiers

PMID34371253
PMCPMC8405582

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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.