Evidence map›Paper›PMID 28130610›Full record

ArticleEuropean radiology2017

Automated computer-based CT stratification as a predictor of outcome in hypersensitivity pneumonitis.

Joseph Jacob, B J Bartholmai, S Rajagopalan, R Karwoski, S M Mak, W Mok, G Della Casa, K Sugino, S L F Walsh, A U Wells and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. 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
  2. Guideline
  3. Review
  4. Article
  5. Progressive pulmonary fibrosis.European radiology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Diagnosis, course and management of hypersensitivity pneumonitis.European respiratory review : an official journal of the European Respiratory Society · 2022
    Review
  12. Article
  13. Carbohydrate antigen 15-3 as a marker of disease severity in patients with chronic hypersensitivity pneumonitis.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2021
    Observational
  14. Hypersensitivity pneumonitis.Nature reviews. Disease primers · 2020
    Review
  15. Prognostic factors in chronic hypersensitivity pneumonitis.European respiratory review : an official journal of the European Respiratory Society · 2020
    Review
  16. Review
  17. Antifibrotic therapy for fibrotic lung disease beyond idiopathic pulmonary fibrosis.European respiratory review : an official journal of the European Respiratory Society · 2019
    Review
  18. Presentation, diagnosis and clinical course of the spectrum of progressive-fibrosing interstitial lung diseases.European respiratory review : an official journal of the European Respiratory Society · 2018
    Review
  19. Article
  20. Review
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

11 authors at 5 institutions in 4 countries.

Joseph JacobDepartment of Radiology, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, UK. akelajacob@gmail.com.ORCID http://orcid.org/0000-0002-8054-2293
B J BartholmaiDivision of Radiology, Mayo Clinic Rochester, Rochester, MN, USA.
S RajagopalanBiomedical Imaging Resource, Mayo Clinic Rochester, Rochester, MN, USA.
R KarwoskiBiomedical Imaging Resource, Mayo Clinic Rochester, Rochester, MN, USA.
S M MakDepartment of Radiology, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, UK.
W MokDepartment of Radiology, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, UK.
G Della CasaUniversita degli Studi di Modena e Reggio Emilia, Modena and Reggio Emilia, Modena, Emilia-Romagna, Italy.
K SuginoToho University Omori Medical Centre, Tokyo, Japan.
S L F WalshKings College Hospital, London, UK.
A U WellsInterstitial Lung Disease Unit, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, UK.
D M HansellDepartment of Radiology, Royal Brompton Hospital, Royal Brompton and Harefield NHS Foundation Trust, London, UK.
Royal Brompton & Harefield NHS Foundation Trust · GBMayo Clinic · USKing's College Hospital · GBToho University · JPUniversity of Modena and Reggio Emilia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypersensitivity pneumonitis (HP) has a variable clinical course. Modelling of quantitative CALIPER-derived CT data can identify distinct disease phenotypes. Mortality prediction using CALIPER analysis was compared to the interstitial lung disease gender, age, physiology (ILD-GAP) outcome model.

methodsCALIPER CT analysis of parenchymal patterns in 98 consecutive HP patients was compared to visual CT scoring by two radiologists. Functional indices including forced vital capacity (FVC) and diffusion capacity for carbon monoxide (DLco) in univariate and multivariate Cox mortality models. Automated stratification of CALIPER scores was evaluated against outcome models.

resultsUnivariate predictors of mortality included visual and CALIPER CT fibrotic patterns, and all functional indices. Multivariate analyses identified only two independent predictors of mortality: CALIPER reticular pattern (p = 0.001) and DLco (p < 0.0001). Automated stratification distinguished three distinct HP groups (log-rank test p < 0.0001). Substitution of automated stratified groups for FVC and DLco in the ILD-GAP model demonstrated no loss of model strength (C-Index = 0.73 for both models). Model strength improved when automated stratified groups were combined with the ILD-GAP model (C-Index = 0.77).

conclusionsCALIPER-derived variables are the strongest CT predictors of mortality in HP. Automated CT stratification is equivalent to functional indices in the ILD-GAP model for predicting outcome in HP. KEY POINTS: • Computer CT analysis better predicts mortality than visual CT analysis in HP. • Quantitative CT analysis is equivalent to functional indices for prognostication in HP. • Prognostication using the ILD-GAP model improves when combined with quantitative CT analysis.

Indexed as

AgedAlveolitis, Extrinsic AllergicFemaleHumansKaplan-Meier EstimateLondonLung Diseases, InterstitialMaleMiddle AgedMultivariate AnalysisPrognosisPulmonary Diffusing CapacityRespiratory Function TestsTomography, X-Ray ComputedVital CapacityComputed tomographyComputer-assisted image analysisHypersensitivity pneumonitisInterstitial lung diseaseStaging

Identifiers

PMID28130610
OpenAlexW2580021582

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.