Evidence map›Paper›PMID 26938706›Full record

Trial reportAmerican journal of respiratory and critical care medicine2016

Predictors of Mortality Poorly Predict Common Measures of Disease Progression in Idiopathic Pulmonary Fibrosis.

Brett Ley, Williamson Z Bradford, Eric Vittinghoff, Derek Weycker, Roland M du Bois, Harold R Collard

Open access · greenAbstract readClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in American journal of respiratory and critical care medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
12.8field-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.

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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 106 citations in OpenAlex.

  1. Guideline
  2. Dual αAmerican journal of respiratory and critical care medicine · 2025
    Trial
  3. Trial
  4. Trial
  5. Trial
  6. Performance Characteristics for Physiological Measures of Progressive Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2025
    Observational
  7. Article
  8. Article
  9. Review
  10. Article
  11. A multidimensional classifier to support lung transplant referral in patients with pulmonary fibrosis.The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Brett Ley1 Department of Medicine and.
Williamson Z Bradford2 InterMune Inc., Brisbane, California.
Eric Vittinghoff3 Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California.
Derek Weycker4 Policy Analysis Inc., Brookline, Massachusetts; and.
Roland M du Bois5 Imperial College, London, United Kingdom.
Harold R Collard1 Department of Medicine and.
Imperial College London · GBPolicy Analysis (United States) · USUniversity of California, San Francisco · US

Funding

Patient Oriented Research and Mentoring in Interstitial Lung DiseaseK24HL127131 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R · 2015 to 2019
$597k
Integrating clinical and molecular markers for risk prediction in idiopathic pulmF32HL124895 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEY, BRETT · 2014 to 2015
$139k
NHLBI NIH HHS F32 HL124895NHLBI NIH HHS K24 HL127131
6 · The paper itself

Abstract

rationaleMortality prediction is well studied in idiopathic pulmonary fibrosis (IPF), but little is known about predictors of premortality disease progression. Identification of patients at risk for disease progression would be useful for clinical decision-making and designing clinical trials.

objectivesTo develop prediction models for disease progression in IPF.

methodsIn a large clinical trial cohort of patients with IPF (n = 1,113), we comprehensively screened multivariate models of candidate baseline and past-change predictors for disease progression defined by 48-week worsening of FVC, dyspnea (University of California, San Diego Shortness of Breath Questionnaire [UCSD SOBQ]), 6-minute-walk distance (6MWD), and occurrence of respiratory hospitalization, or death. Progression outcomes were modeled as appropriate, by slope change using linear regression models and time to binary outcomes using Cox proportional hazards models. MEASUREMENTS AND MAIN

resultsThe overall cohort experienced considerable disease progression. Top-performing prediction models did not meaningfully predict most measures of disease progression. For example, prediction modeling explained less than or equal to 1% of the observed variation in 48-week slope change in FVC, UCSD SOBQ, and 6MWD. Models performed better for binary measures of time to disease progression but were still largely inaccurate (cross-validated C statistic ≤0.63 for ≥10% decline in FVC or death, ≤0.68 for ≥20-U increase in UCSD SOBQ or death, ≤0.70 for ≥100 m decline in 6MWD or death). Models for time to respiratory hospitalization or death (C statistic ≤0.77) or death alone (C statistic ≤0.81) demonstrated acceptable discriminative performance.

conclusionsClinical prediction models poorly predicted physiologic and functional disease progression in IPF. This is in contrast to respiratory hospitalization and mortality prediction.

Indexed as

AgedAnti-Inflammatory Agents, Non-SteroidalDisease ProgressionDyspneaFemaleHospitalizationHumansIdiopathic Pulmonary FibrosisMaleModels, StatisticalProportional Hazards ModelsPyridonesRisk AssessmentRisk FactorsSurveys and QuestionnairesVital CapacityAnti-Inflammatory Agents, Non-SteroidalpirfenidonePyridones6-minute-walk distancedyspneaforced vital capacityhospitalizationinterstitial lung disease

Identifiers

PMID26938706
PMCPMC5027229
OpenAlexW2289682006

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.