Evidence map›Paper›PMID 36782326›Full record

Trial reportRespiratory research2023

Interstitial lung abnormalities in a large clinical lung cancer screening cohort: association with mortality and ILD diagnosis.

Avignat S Patel, Ezra Miller, Shawn M Regis, Gary M Hunninghake, Lori Lyn Price, Melissa Gawlik, Andrea B McKee, Kimberly M Rieger-Christ, Victor Pinto-Plata, Timothy N Liesching and 4 more

Registry-linked trialOpen access · goldAbstract readClinical Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Respiratory research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04503044 (Interstitial Lung Abnormalities--Qualitative Imaging Cohort Study in CT Lung Cancer Screening Population), which is not on this map. Cited by 28 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 5 pooled it
10.3field-weighted citation impact, top 1% 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.

NCT04503044 completednot on this map

Interstitial Lung Abnormalities--Qualitative Imaging Cohort Study in CT Lung Cancer Screening Population

TypeobservationalSponsorLahey ClinicRan2021 to 2021Enrolled1,703ConditionsInterstitial Lung Disease, IPFArmsRetrospective observational study
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 5 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Pulmonary Fibrosis-Focusing on the Future: Aspen Lung Conference 2024 Summary.American journal of respiratory cell and molecular biology · 2025
    Article
  13. Review
  14. Article
  15. Review
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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

14 authors at 4 institutions in 1 country.

Avignat S PatelDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA. avignat.s.patel@lahey.org.
Ezra MillerDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Shawn M RegisDivision of Radiation Oncology, Department of Medicine, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Gary M HunninghakeDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA.
Lori Lyn PriceInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, 02111, USA.
Melissa GawlikQuality and Safety, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Andrea B McKeeDivision of Radiation Oncology, Department of Medicine, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Kimberly M Rieger-ChristTranslational Research, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Victor Pinto-PlataDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Timothy N LieschingDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Christoph WaldDepartment of Radiology, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Jeffrey HashimDepartment of Radiology, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Brady J McKeeDepartment of Radiology, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Lee GazourianDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Lahey Hospital and Medical Center, Burlington, MA, 01805, USA.
Lahey Hospital and Medical Center · USTufts University · USLahey Medical Center · USHarvard University · US

Funding

Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
Clinical Genetics and Screening for Pulmonary FibrosisR01HL130974 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GARY MATTHEW HUNNINGHAKE, Benjamin Alexander Raby · 2016 to 2026
$10.0M
Genetic and Genomic Characterization of the Occurrence and Progression of Interstitial Lung AbnormalitiesR01HL135142 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MICHAEL H. CHO, GARY MATTHEW HUNNINGHAKE · 2017 to 2026
$7.7M
Interstitial Lung Abnormalities: Defining the Phenotype, Causes, and Consequences.R01HL111024 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HUNNINGHAKE, GARY MATTHEW · 2013 to 2022
$6.4M
Genentech ML42663NCATS NIH HHS UL1 TR002544NCATS NIH HHS UL1TR002544NHLBI NIH HHS R01 HL111024NHLBI NIH HHS R01 HL130974NHLBI NIH HHS R01 HL135142NIH HHS R01 HL111024NIH HHS R01 HL1130974NIH HHS R01 HL135142
6 · The paper itself

Abstract

backgroundInterstitial lung abnormalities (ILA) are CT findings suggestive of interstitial lung disease in individuals without a prior diagnosis or suspicion of ILD. Previous studies have demonstrated that ILA are associated with clinically significant outcomes including mortality. The aim of this study was to determine the prevalence of ILA in a large CT lung cancer screening program and the association with clinically significant outcomes including mortality, hospitalizations, cancer and ILD diagnosis.

methodsThis was a retrospective study of individuals enrolled in a CT lung cancer screening program from 2012 to 2014. Baseline and longitudinal CT scans were scored for ILA per Fleischner Society guidelines. The primary analyses examined the association between baseline ILA and mortality, all-cause hospitalization, and incidence of lung cancer. Kaplan-Meier plots were generated to visualize the associations between ILA and lung cancer and all-cause mortality. Cox regression proportional hazards models were used to test for this association in both univariate and multivariable models.

results1699 subjects met inclusion criteria. 41 (2.4%) had ILA and 101 (5.9%) had indeterminate ILA on baseline CTs. ILD was diagnosed in 10 (24.4%) of 41 with ILA on baseline CT with a mean time from baseline CT to diagnosis of 4.47 ± 2.72 years. On multivariable modeling, the presence of ILA remained a significant predictor of death, HR 3.87 (2.07, 7.21; p < 0.001) when adjusted for age, sex, BMI, pack years and active smoking, but not of lung cancer and all-cause hospital admission. Approximately 50% with baseline ILA had progression on the longitudinal scan.

conclusionsILA identified on baseline lung cancer screening exams are associated with all-cause mortality. In addition, a significant proportion of patients with ILA are subsequently diagnosed with ILD and have CT progression on longitudinal scans. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov; No.: NCT04503044.

Indexed as

Lung Diseases, InterstitialLung NeoplasmsEarly Detection of CancerHumansLungRetrospective StudiesIdiopathic pulmonary fibrosisInterstitial lung abnormalitiesInterstitial lung diseaseLung cancer screening

Identifiers

PMID36782326
PMCPMC9926562
OpenAlexW4320711759

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.