Evidence map›Paper›PMID 29684284›Full record

ArticleAmerican journal of respiratory and critical care medicine2018

Predicting Outcomes in Idiopathic Pulmonary Fibrosis Using Automated Computed Tomographic Analysis.

Joseph Jacob, Brian J Bartholmai, Srinivasan Rajagopalan, Coline H M van Moorsel, Hendrik W van Es, Frouke T van Beek, Marjolijn H L Struik, Maria Kokosi, Ryoko Egashira, Anne Laure Brun and 13 more

Open access · greenAbstract read
In one paragraph

Article in American journal of respiratory and critical care medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
113citing papers in PubMed, 5 pooled it
15.2field-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

113 citing papers in PubMed, 5 syntheses or guidelines pooled it, 194 citations in OpenAlex.

  1. Guideline
  2. A systematic review of the role of quantitative CT in the prognostication and disease monitoring of interstitial lung disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
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  5. Guideline
  6. Trial
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  16. Observational
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  20. Visual and Quantitative Interstitial Lung Abnormality Progression in COPDGene.American journal of respiratory and critical care medicine · 2025
    Article

53 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors at 12 institutions in 6 countries.

Joseph Jacob1 Department of Respiratory Medicine.ORCID 0000-0002-8054-2293
Brian J Bartholmai3 Division of Radiology and.
Srinivasan Rajagopalan3 Division of Radiology and.
Coline H M van Moorsel4 St. Antonius ILD Center of Excellence, Department of Pulmonology, and.
Hendrik W van Es6 Department of Radiology, St. Antonius Hospital, Nieuwegein, the Netherlands.
Frouke T van Beek4 St. Antonius ILD Center of Excellence, Department of Pulmonology, and.
Marjolijn H L Struik4 St. Antonius ILD Center of Excellence, Department of Pulmonology, and.
Maria Kokosi7 Interstitial Lung Disease Unit and.
Ryoko Egashira8 Department of Radiology, Faculty of Medicine, Saga University, Saga City, Japan.
Anne Laure Brun9 Imaging Department, Hôpital Cochin, Paris-Descartes University, Paris, France.
Arjun Nair10 Department of Radiology, University College London, London, United Kingdom.
Simon L F Walsh11 Department of Radiology, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Gary Cross12 Department of Radiology, Royal Free Hospital NHS Foundation Trust, London, United Kingdom.
Joseph Barnett12 Department of Radiology, Royal Free Hospital NHS Foundation Trust, London, United Kingdom.
Angelo de Lauretis13 Division of Pneumology, "Guido Salvini" Hospital, Garbagnate Milanese, Italy.
Eoin P Judge14 Department of Respiratory Medicine, Aintree University Hospital, Liverpool, United Kingdom; and.
Sujal Desai15 Department of Radiology, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, United Kingdom.
Ronald Karwoski16 Department of Physiology and Biomedical Engineering, Mayo Clinic Rochester, Rochester, Minnesota.
Sebastien Ourselin17 Translational Imaging Group, Centre for Medical Image Computing, University College London, London, United Kingdom.
Elisabetta Renzoni7 Interstitial Lung Disease Unit and.
Toby M Maher7 Interstitial Lung Disease Unit and.
Andre Altmann2 Centre for Medical Image Computing, and.
Athol U Wells7 Interstitial Lung Disease Unit and.
Interstitial Cystitis Association · USCentre for Sight · INRoyal Free London NHS Foundation Trust · GBUniversity College London · GBUniversity Medical Center Utrecht · NLKing's College Hospital NHS Foundation Trust · GBMayo Clinic · USRoyal Brompton & Harefield NHS Foundation Trust · GBSaga University · JPSt. Antonius Ziekenhuis · NLUniversité Paris Cité · FRUniversity of Liverpool · GB

Funding

Arthritis Research UK 20719Department of Health PB-PG-0712-28073Medical Research Council MR/L016311/1Versus Arthritis 20719Wellcome TrustWellcome Trust 209553/Z/17/Z
6 · The paper itself

Abstract

rationaleQuantitative computed tomographic (CT) measures of baseline disease severity might identify patients with idiopathic pulmonary fibrosis (IPF) with an increased mortality risk. We evaluated whether quantitative CT variables could act as a cohort enrichment tool in future IPF drug trials.

objectivesTo determine whether computer-derived CT measures, specifically measures of pulmonary vessel-related structures (VRSs), can better predict functional decline and survival in IPF and reduce requisite sample sizes in drug trial populations.

methodsPatients with IPF undergoing volumetric noncontrast CT imaging at the Royal Brompton Hospital, London, and St. Antonius Hospital, Utrecht, were examined to identify pulmonary function measures (including FVC) and visual and computer-derived (CALIPER [Computer-Aided Lung Informatics for Pathology Evaluation and Rating] software) CT features predictive of mortality and FVC decline. The discovery cohort comprised 247 consecutive patients, with validation of results conducted in a separate cohort of 284 patients, all fulfilling drug trial entry criteria. MEASUREMENTS AND MAIN

resultsIn the discovery and validation cohorts, CALIPER-derived features, particularly VRS scores, were among the strongest predictors of survival and FVC decline. CALIPER results were accentuated in patients with less extensive disease, outperforming pulmonary function measures. When used as a cohort enrichment tool, a CALIPER VRS score greater than 4.4% of the lung was able to reduce the requisite sample size of an IPF drug trial by 26%.

conclusionsOur study has validated a new quantitative CT measure in patients with IPF fulfilling drug trial entry criteria-the VRS score-that outperformed current gold standard measures of outcome. When used for cohort enrichment in an IPF drug trial setting, VRS threshold scores can reduce a required IPF drug trial population size by 25%, thereby limiting prohibitive trial costs. Importantly, VRS scores identify patients in whom antifibrotic medication prolongs life and reduces FVC decline.

Indexed as

AgedFemaleHumansIdiopathic Pulmonary FibrosisMaleMiddle AgedPrognosisRespiratory Function TestsTomography, X-Ray ComputedVital Capacityidiopathic pulmonary fibrosispulmonary vesselsquantitative computed tomographic imaging

Identifiers

PMID29684284
PMCPMC6222463
OpenAlexW2800281426

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.