Evidence map›Paper›PMID 32006172›Full record

ArticleEuropean radiology2020

Stratification of long-term outcome in stable idiopathic pulmonary fibrosis by combining longitudinal computed tomography and forced vital capacity.

Nicola Sverzellati, Mario Silva, Valeria Seletti, Carlotta Galeone, Stefano Palmucci, Sara Piciucchi, Carlo Vancheri, Venerino Poletti, Sara Tomassetti, Ronald Karwoski and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 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. Pooled it
  3. Article
  4. A Quantitative Imaging Measure of Progressive Pulmonary Fibrosis.American journal of respiratory and critical care medicine · 2025
    Article
  5. Radiomics and Artificial Intelligence in Pulmonary Fibrosis.Journal of imaging informatics in medicine · 2025
    Review
  6. Article
  7. Quantitative Computed Tomography in Idiopathic Pulmonary Fibrosis: Is It Time to Act?American journal of respiratory and critical care medicine · 2024
    Article
  8. Article
  9. 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
  10. Article
  11. Towards Treatable Traits for Pulmonary Fibrosis.Journal of personalized medicine · 2022
    Review
  12. Review
  13. Radiographic Progression and Survival of the Different HRCT Patterns of Idiopathic Pulmonary Fibrosis.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2022
    Article
  14. Article
  15. Article
  16. Article
  17. 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 8 institutions in 3 countries.

Nicola SverzellatiScienze Radiologiche, Department of Medicine and Surgery, University of Parma, Padiglione Barbieri, V. Gramsci 14, Parma, Italy. nicola.sverzellati@unipr.it.ORCID http://orcid.org/0000-0002-4820-3785
Mario SilvaScienze Radiologiche, Department of Medicine and Surgery, University of Parma, Padiglione Barbieri, V. Gramsci 14, Parma, Italy.
Valeria SelettiScienze Radiologiche, Department of Medicine and Surgery, University of Parma, Padiglione Barbieri, V. Gramsci 14, Parma, Italy.
Carlotta GaleoneDepartment of Clinical Sciences and Community, University of Milan, Milan, Italy.
Stefano PalmucciDepartment of Medical and Surgical Sciences and Advanced Technologies-Radiodiagnostic and Radiotherapy Unit, University Hospital "Policlinico-Vittorio Emanuele", Catania, Italy.
Sara PiciucchiDepartment of Radiology, Azienda USL Romagna, Ospedale GB Morgagni, Forlì, Italy.
Carlo VancheriDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Venerino PolettiDepartment of Respiratory Diseases and Allergy, Aarhus University Hospital, Aarhus, Denmark.
Sara TomassettiDepartment of Diseases of the Thorax, Ospedale G.B. Morgagni, Forli, Italy.
Ronald KarwoskiBiomedical Imaging Resource, Mayo Clinic, Rochester, MN, USA.
Brian J BartholmaiDivision of Radiology, Mayo Clinic, Rochester, MN, USA.
University of Parma · ITAarhus University Hospital · DKAzienda Ospedaliero-Universitaria Policlinico - Vittorio Emanuele · ITAzienda Unità Sanitaria Locale Della Romagna · ITMayo Clinic · USMayo Clinic in Arizona · USUniversity of Catania · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo test HRCT with either visual or quantitative analysis in both short-term and long-term follow-up of stable IPF against long-term (transplant-free) survival, beyond 2 years of disease stability.

methodsFifty-eight IPF patients had FVC measurements and HRCTs at baseline (HRCT0), 10-14 months (HRCT1) and 22-26 months (HRCT2). Visual scoring, CALIPER quantitative analysis of HRCT measures, and their deltas were evaluated against combined all-cause mortality and lung transplantation by adjusted Cox proportional hazard models at each time interval.

resultsAt HRCT1, a ≥ 20% relative increase in CALIPER-total lung fibrosis yielded the highest radiological association with outcome (C-statistic 0.62). Moreover, the model combining FVC% drop ≥ 10% and ≥ 20% relative increase of CALIPER-total lung fibrosis improved the stratification of outcome (C-statistic 0.69, high-risk category HR 12.1; landmark analysis at HRCT1 C-statistic 0.66, HR 14.9 and at HRCT2 C-statistic 0.61, HR 21.8). Likewise, at HRCT2, the model combining FVC% decrease trend and ≥ 20% relative increase of CALIPER-pulmonary vessel-related volume (VRS) improved the stratification of outcome (C-statistic 0.65, HR 11.0; landmark analysis at HRCT1 C-statistic 0.62, HR 13.8 and at HRCT2 C-statistic 0.58, HR 12.6). A less robust stratification of outcome distinction was also demonstrated with the categorical visual scoring of disease change.

conclusionsAnnual combined CALIPER -FVC changes showed the greatest stratification of long-term outcome in stable IPF patients, beyond 2 years. KEY POINTS: • Longitudinal high-resolution computed tomography (HRCT) data is more helpful than baseline HRCT alone for stratification of long-term outcome in IPF. • HRCT changes by visual or quantitative analysis can be added with benefit to the current spirometric reference standard to improve stratification of long-term outcome in IPF. • HRCT follow-up at 12-14 months is more helpful than HRCT follow-up at 23-26 months in clinically stable subjects with IPF.

Indexed as

AgedFemaleHumansIdiopathic Pulmonary FibrosisLungLung TransplantationMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesTomography, X-Ray ComputedVital CapacityIdiopathic pulmonary fibrosisMachine learningMultidetector computed tomographyOutcomeUsual interstitial pneumonia

Identifiers

PMID32006172
OpenAlexW3003789178

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.