Evidence map›Paper›PMID 34716781›Full record

ArticleEuropean radiology2022

Serial decline in lung volume parameters on computed tomography (CT) predicts outcome in idiopathic pulmonary fibrosis (IPF).

Hasti Robbie, Athol U Wells, Cheng Fang, Joseph Jacob, Simon L F Walsh, Arjun Nair, Rose Camoras, Sujal R Desai, Anand Devaraj

Open access · greenAbstract read
In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

9 authors at 5 institutions in 1 country.

Hasti RobbieKing's College Hospital NHS Foundation Trust, Denmark Hill, Brixton, SE5 9RS, London , UK. hasti.robbie@nhs.net.ORCID http://orcid.org/0000-0001-5108-5268
Athol U WellsRoyal Brompton and Harefield NHS Foundation Trust, Sydney St, Chelsea, SW3 6NP, London, UK.
Cheng FangKing's College Hospital NHS Foundation Trust, Denmark Hill, Brixton, SE5 9RS, London , UK.
Joseph JacobCentre for Medical Image Computing, 90 High Holborn, London, UK.
Simon L F WalshNational Heart and Lung Institute, Imperial College, London, UK.
Arjun NairUniversity College London Hospital, 235 Euston Rd, Fitzrovia, NW1 2BU, London, UK.
Rose CamorasRoyal Brompton and Harefield NHS Foundation Trust, Sydney St, Chelsea, SW3 6NP, London, UK.
Sujal R DesaiRoyal Brompton and Harefield NHS Foundation Trust, Sydney St, Chelsea, SW3 6NP, London, UK.
Anand DevarajRoyal Brompton and Harefield NHS Foundation Trust, Sydney St, Chelsea, SW3 6NP, London, UK.
Royal Brompton & Harefield NHS Foundation Trust · GBKing's College Hospital NHS Foundation Trust · GBImperial College London · GBUniversity College Hospital · GBUniversity College London · GB

Funding

Wellcome Trust 209553
6 · The paper itself

Abstract

objectivesIn patients with IPF, this study aimed (i) to examine the relationship between serial change in CT parameters of lung volume and lung function, (ii) to identify the prognostic value of serial change in CT parameters of lung volume, and (iii) to define a threshold for serial change in CT markers of lung volume that optimally captures disease progression.

methodsSerial CTs were analysed for progressive volume loss or fibrosis progression in 81 IPF patients (66 males, median age = 67 years) with concurrent forced vital capacity (FVC) (median follow-up 12 months, range 6-23 months). Serial CT measurements of volume loss comprised oblique fissure posterior retraction distance (OFPRD), aortosternal distance (ASD), lung height corrected for body habitus (LH), and automated CT-derived total lung volumes (ALV) (measured using commercially available software). Fibrosis progression was scored visually. Serial changes in CT markers and FVC were compared using regression analysis, and evaluated against mortality using Cox proportional hazards.

resultsThere were 58 deaths (72%, median survival = 17 months). Annual % change in ALV was most significantly related to annual % change in FVC (R

conclusionIn IPF, serial decline in CT markers of lung volume and, specifically, annualised 25% reduction in aortosternal distance provides evidence of disease progression, not always identified by FVC trends or changes in fibrosis extent. KEY POINTS: • Serial decline in automated and surrogate markers of lung volume on CT corresponds to changes in FVC. • Annualised reductions in the distance between ascending aorta and posterior border of the sternum on CT predict mortality beyond annualised percentage change in FVC.

Indexed as

Idiopathic Pulmonary FibrosisChild, PreschoolDisease ProgressionHumansInfantLungLung Volume MeasurementsMaleTomography, X-Ray ComputedVital CapacityDisease progressionIdiopathic pulmonary fibrosisLungTomography, X-Ray computed

Identifiers

PMID34716781
PMCPMC7615167
OpenAlexW3210141494

What OpenQuestion holds

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Registered trials

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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.