Evidence map›Paper›PMID 33735217›Full record

ArticlePloS one2021

Optimal treatment strategies for stage I non-small cell lung cancer in veterans with pulmonary and cardiac comorbidities.

Keith Sigel, Chung Yin Kong, Sadiq Rehmani, Susan Bates, Michael Gould, Kimberly Stone, Minal Kale, Yeun-Hee Park, Kristina Crothers, Faiz Bhora and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 23% 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.

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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Keith SigelDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID 0000-0002-4051-4861
Chung Yin KongDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.ORCID 0000-0001-6431-7830
Sadiq RehmaniDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Susan BatesJames J. Peters VA Medical Center, Bronx, New York, New York, United States of America.
Michael GouldKaiser Permanente Southern California, Los Angeles, California, United States of America.
Kimberly StoneDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Minal KaleDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Yeun-Hee ParkJames J. Peters VA Medical Center, Bronx, New York, New York, United States of America.
Kristina CrothersUniversity of Washington School of Medicine, Seattle, Washington, United States of America.
Faiz BhoraNuvance Health, Danbury, Connecticut, United States of America.
Juan WisniveskyDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America.
Icahn School of Medicine at Mount Sinai · USJames J. Peters VA Medical Center · USKaiser Permanente · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVeterans are at increased risk of lung cancer and many have comorbidities such as chronic obstructive pulmonary disease (COPD) and coronary artery disease (CAD). We used simulation modeling to assess projected outcomes associated with different management strategies of Veterans with stage I non-small cell lung cancer (NSCLC) with COPD and/or CAD. PATIENTS AND

methodsUsing data from a cohort of 14,029 Veterans (years 2000-2015) with NSCLC we extended a well-validated mathematical model of lung cancer to represent the management and outcomes of Veterans with stage I NSCLC with COPD, with or without comorbid CAD. We simulated multiple randomized trials to compare treatment with lobectomy, limited resection, or stereotactic body radiation therapy (SBRT). Model output estimated expected quality adjusted life years (QALY) of Veterans with stage I NSCLC according to age, tumor size, histologic subtype, COPD severity and CAD diagnosis.

resultsFor Veterans <70 years old lobectomy was associated with greater projected quality-adjusted life expectancy regardless of comorbidity status. For most combinations of tumors and comorbidity profiles there was no dominant treatment for Veterans ≥80 years of age, but less invasive treatments were often superior to lobectomy. Dominant treatment choices differed by CAD status for older patients in a third of scenarios, but not for patients <70 years old.

conclusionsThe harm/benefit ratio of treatments for stage I NSCLC among Veterans may vary according to COPD severity and the presence of CAD. This information can be used to direct future research study design for Veterans with stage I lung cancer and COPD and/or CAD.

Indexed as

Models, TheoreticalVeteransAgedAged, 80 and overAge FactorsCarcinoma, Non-Small-Cell LungComputer SimulationHeart DiseasesHumansLung DiseasesLung NeoplasmsMiddle AgedNeoplasm StagingPrognosisQuality-Adjusted Life Years

Identifiers

PMID33735217
PMCPMC7971489
OpenAlexW3139326468

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.