Evidence map›Paper›PMID 35624019›Full record

ArticleClinical lung cancer2022

Prevalence And Impact of Medical Comorbidities in A Real-World Lung Cancer Screening Population.

Harris Majeed, Hong Zhu, Sarah A Williams, Heidi A Hamann, Vijaya Subbu Natchimuthu, Jessica Lee, Noel O Santini, Travis Browning, Tanushree Prasad, Joyce O Adesina and 7 more

Open access · greenAbstract read
In one paragraph

Article in Clinical lung cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
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  4. Review
  5. Article
  6. Observational
  7. Impact of Comorbidities on the Mortality Benefits of Lung Cancer Screening: A Post-Hoc Analysis of the PLCO and NLST Trials.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2025
    Article
  8. Article
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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

17 authors at 4 institutions in 1 country.

Harris MajeedSchool of Medicine, UT Southwestern Medical Center; Dallas, Texas, USA.
Hong ZhuDepartment of Population and Data Sciences, UT Southwestern Medical Center, Dallas, Texas, USA; Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA.
Sarah A WilliamsDepartment of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
Heidi A HamannDepartments of Psychology and Family and Community Medicine, University of Arizona; Tucson, AZ.
Vijaya Subbu NatchimuthuParkland Health; Dallas, Texas, USA.
Jessica LeeDepartment of Population and Data Sciences, UT Southwestern Medical Center, Dallas, Texas, USA.
Noel O SantiniParkland Health; Dallas, Texas, USA; Division of General Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
Travis BrowningParkland Health; Dallas, Texas, USA; Department of Radiology; UT Southwestern Medical Center, Dallas, Texas, USA.
Tanushree PrasadDepartment of Population and Data Sciences, UT Southwestern Medical Center, Dallas, Texas, USA.
Joyce O AdesinaParkland Health; Dallas, Texas, USA.
Minh DoParkland Health; Dallas, Texas, USA.
David BalisParkland Health; Dallas, Texas, USA; Division of General Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
Juana Gamarra de WillamsParkland Health; Dallas, Texas, USA.
Ellen KitchellParkland Health; Dallas, Texas, USA.
David H JohnsonHarold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA; Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA; Division of Hematology-Oncology, UT Southwestern Medical Center, Dallas, Texas, USA.
Simon J Craddock LeeDepartment of Population and Data Sciences, UT Southwestern Medical Center, Dallas, Texas, USA; Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA.
David E GerberDepartment of Population and Data Sciences, UT Southwestern Medical Center, Dallas, Texas, USA; Harold C. Simmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas, USA; Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA; Division of Hematology-Oncology, UT Southwestern Medical Center, Dallas, Texas, USA. Electronic address: david.gerber@utsouthwestern.edu.
Southwestern Medical Center · USParkland Health & Hospital System · USParkland Memorial Hospital · USUniversity of Arizona · US

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Kathryn Ann O'Donnell · 2010 to 2026
$53.7M
UT Southwestern Center of Patient-Centered Outcomes Research (PCOR)R24HS022418 · AHRQ · UT SOUTHWESTERN MEDICAL CENTER · PI HALM, ETHAN A · 2013 to 2017
$5.0M
Development of New Cancer Treatments and InvestigatorsK24CA201543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GERBER, DAVID ERIC · 2016 to 2020
$737k
AHRQ HHS R24 HS022418NCI NIH HHS K24 CA201543NCI NIH HHS P30 CA142543
6 · The paper itself

Abstract

backgroundLung cancer screening trials generally enroll motivated, relatively healthy, and adherent populations. We therefore evaluated the prevalence and effects of comorbidities in a real-world population undergoing low-dose computed tomography (LDCT) scans. PATIENTS AND

methodsWe calculated the Charlson Comorbidity Index (CCI) of patients for whom an initial low-dose computed tomography (LDCT) for lung cancer screening was ordered between February 2017 and February 2019 in an integrated safety-net healthcare system. We examined the association between CCI and initial LDCT completion using multivariable logistic regression, assessed the association between specific medical comorbidity and LDCT completion using Chi-square test or Fisher's exact test as appropriate, and examined the association between CCI and LDCT Lung-RADS results using Fisher's exact test.

resultsA total of 1358 patients were included in the analysis. Mean age was 63 years, 57% were women, and 50% were Black. Patients had moderate comorbidity burden (median CCI 3) with chronic pulmonary disease the most common comorbidity. Overall, 943 LDCT (70%) were completed. There was no difference in 30-day, 90-day, or 1-year completion rates of initial LDCT according to CCI. However, 30-day LDCT completion rates did increase over time (P < .001). Lung-RADS scores were not associated with CCI.

conclusionIn a real-world setting, patients undergoing lung cancer screening have moderate comorbidity burden. The degree and type of medical comorbidity are not associated with initial screening completion or results. Timeliness of LDCT completion may improve as program experience increases.

Indexed as

Early Detection of CancerLung NeoplasmsComorbidityFemaleHumansMaleMass ScreeningMiddle AgedPrevalenceTomography, X-Ray ComputedAdherenceComorbidityLow-dose computed tomography (LDCT)Lung-RADSSafety-net

Identifiers

PMID35624019
PMCPMC9287827
OpenAlexW4225134693

What OpenQuestion holds

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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.