Evidence map›Paper›PMID 28964798›Full record

ArticleChest2018

Phenotypic Clusters Predict Outcomes in a Longitudinal Interstitial Lung Disease Cohort.

Ayodeji Adegunsoye, Justin M Oldham, Jonathan H Chung, Steven M Montner, Cathryn Lee, Leah J Witt, Danielle Stahlbaum, Rene S Bermea, Lena W Chen, Scully Hsu and 5 more

Abstract read
In one paragraph

Article in Chest, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Dual pathology, dual burden: Functional impact of emphysema and fibrosis in Hypersensitivity Pneumonitis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2026
    Article
  5. Article
  6. Review
  7. Review
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Towards the adoption of quantitative computed tomography in the management of interstitial lung disease.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Diagnosis, course and management of hypersensitivity pneumonitis.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  19. Article
  20. 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

15 authors.

Ayodeji AdegunsoyeSection of Pulmonary & Critical Care, Department of Medicine, University of Chicago, Chicago, IL. Electronic address: deji@uchicago.edu.
Justin M OldhamDivision of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, University of California at Davis, Davis, CA.
Jonathan H ChungDepartment of Radiology, University of Chicago, Chicago, IL.
Steven M MontnerDepartment of Radiology, University of Chicago, Chicago, IL.
Cathryn LeeSection of Pulmonary & Critical Care, Department of Medicine, University of Chicago, Chicago, IL.
Leah J WittSection of Pulmonary & Critical Care, Department of Medicine, University of Chicago, Chicago, IL.
Danielle StahlbaumDepartment of Medicine, University of Chicago, Chicago, IL.
Rene S BermeaDepartment of Medicine, University of Chicago, Chicago, IL.
Lena W ChenSection of Pulmonary & Critical Care, Department of Medicine, University of Chicago, Chicago, IL.
Scully HsuDepartment of Medicine, University of Chicago, Chicago, IL.
Aliya N HusainDepartment of Pathology, University of Chicago, Chicago, IL.
Imre NothSection of Pulmonary & Critical Care, Department of Medicine, University of Chicago, Chicago, IL.
Rekha VijSection of Pulmonary & Critical Care, Department of Medicine, University of Chicago, Chicago, IL.
Mary E StrekSection of Pulmonary & Critical Care, Department of Medicine, University of Chicago, Chicago, IL.
Matthew ChurpekSection of Pulmonary & Critical Care, Department of Medicine, University of Chicago, Chicago, IL.

Funding

RESEARCH TRAINING IN RESPIRATORY BIOLOGYT32HL007605 · NHLBI · UNIVERSITY OF CHICAGO · PI Yun Fang, Gokhan M. Mutlu · 1985 to 2026
$18.1M
Predicting In-hospital Cardiac Arrest Using Electronic Health Record DataK08HL121080 · NHLBI · UNIVERSITY OF CHICAGO · PI CHURPEK, MATTHEW MICHAEL · 2014 to 2018
$751k
NHLBI NIH HHS K08 HL121080NHLBI NIH HHS T32 HL007605
6 · The paper itself

Abstract

backgroundThe current interstitial lung disease (ILD) classification has overlapping clinical presentations and outcomes. Cluster analysis modeling is a valuable tool in identifying distinct clinical phenotypes in heterogeneous diseases. However, this approach has yet to be implemented in ILD.

methodsUsing cluster analysis, novel ILD phenotypes were identified among subjects from a longitudinal ILD cohort, and outcomes were stratified according to phenotypic clusters compared with subgroups according to current American Thoracic Society/European Respiratory Society ILD classification criteria.

resultsAmong subjects with complete data for baseline variables (N = 770), four clusters were identified. Cluster 1 (ie, younger white obese female subjects) had the highest baseline FVC and diffusion capacity of the lung for carbon monoxide (Dlco). Cluster 2 (ie, younger African-American female subjects with elevated antinuclear antibody titers) had the lowest baseline FVC. Cluster 3 (ie, elderly white male smokers with coexistent emphysema) had intermediate FVC and Dlco. Cluster 4 (ie, elderly white male smokers with severe honeycombing) had the lowest baseline Dlco. Compared with classification according to ILD subgroup, stratification according to phenotypic clusters was associated with significant differences in monthly FVC decline (Cluster 4, -0.30% vs Cluster 2, 0.01%; P < .0001). Stratification by using clusters also independently predicted progression-free survival (P < .001) and transplant-free survival (P < .001).

conclusionsAmong adults with diverse chronic ILDs, cluster analysis using baseline characteristics identified four distinct clinical phenotypes that might better predict meaningful clinical outcomes than current ILD diagnostic criteria.

Indexed as

AgedChronic DiseaseCluster AnalysisFemaleHumansLongitudinal StudiesLung Diseases, InterstitialMaleMiddle AgedPhenotypePulmonary Fibrosisclusterinterstitial lung diseasemortalityphenotypepulmonary fibrosis

Identifiers

PMID28964798
PMCPMC5815877

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.