Evidence map›Paper›PMID 39893773›Full record

ArticleLung cancer (Amsterdam, Netherlands)2025

Evaluating lung cancer risk factors in adults with interstitial lung disease.

Jane Dobkin, B Payne Stanifer, Mary Salvatore, Christina M Eckhardt

Abstract read
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Jane DobkinColumbia University Irving Medical Center, Department of Medicine, New York, NY, USA.
B Payne StaniferColumbia University Vagelos College of Physicians & Surgeons, Department of Surgery, New York, NY, USA.
Mary SalvatoreJacobi Medical Center, Department of Radiology, Bronx, NY, USA.
Christina M EckhardtColumbia University Vagelos College of Physicians & Surgeons, Department of Medicine, New York, NY, USA; Columbia University Mailman School of Public Health, Department of Environmental Health Sciences, New York, NY, USA. Electronic address: Cme2113@cumc.columbia.edu.

Funding

Developing an exosomic signature of rapidly progressive idiopathic pulmonary fibrosisK23HL171822 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ECKHARDT, CHRISTINA M · 2025 to 2025
$193k
NHLBI NIH HHS K23 HL171822
6 · The paper itself

Abstract

backgroundAdults with interstitial lung disease (ILD) have a higher risk of developing lung cancer compared to the general population. We aimed to identify ILD-specific risk factors that can be used to improve lung cancer detection in this high-risk population.

methodsAdults ≥21 years who received at least two chest CT scans at an academic medical center between 2005 and 2020 and were found to have ILD were studied retrospectively. Lung cancer diagnoses were adjudicated based on pathology reports from lung biopsies. Logistic regression was used to evaluate associations of clinical variables with comorbid lung cancer.

resultsAmong 1,366 adults with ILD, the mean age was 67.2 ± 12.4 years and 639 (46.8 %) were men. In total, 227 adults (16.6 %) had a lung nodule on CT imaging, of whom 55 (24.3 %) were diagnosed with lung cancer. Radiographic usual interstitial pneumonia (UIP) (OR 3.00, 95 % CI 1.43-6.33) was independently associated with increased odds of lung cancer. Risk factors including age, sex, smoking status, pack-years, use of immunosuppression, and radiographic fibrosis pattern collectively demonstrated high discriminative accuracy in predicting comorbid lung cancer, even among adults who would not have qualified for lung cancer screening based on current guidelines (AUC 0.80, 95 % CI 0.72-0.88).

conclusionsIn a large study of adults with ILD, radiographic UIP was independently associated with comorbid lung cancer even after adjusting for established risk factors. Our results suggest radiographic UIP is an independent lung cancer risk factor and support the development of targeted lung cancer screening guidelines in adults with UIP.

Indexed as

Lung Diseases, InterstitialLung NeoplasmsAdultAgedAged, 80 and overComorbidityFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsTomography, X-Ray ComputedClinical epidemiologyLung cancerPulmonary fibrosisUsual interstitial pneumonia

Identifiers

PMID39893773
PMCPMC11884992

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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.