Evidence map›Paper›PMID 32342182›Full record

ArticleEuropean radiology2020

Diagnostic accuracy of CT pulmonary angiography in suspected pulmonary hypertension.

Andrew J Swift, Krit Dwivedi, Chris Johns, Pankaj Garg, Matthew Chin, Ben J Currie, Alex Mk Rothman, Dave Capener, Yousef Shahin, Charlie A Elliot and 7 more

Open access · hybridAbstract read
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 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
3.5field-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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
  9. Advances in the imaging of pulmonary hypertension.International journal of cardiology. Congenital heart disease · 2025
    Review
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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

17 authors at 4 institutions in 1 country.

Andrew J SwiftDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK. a.j.swift@shef.ac.uk.
Krit DwivediDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Chris JohnsDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Pankaj GargDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Matthew ChinDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Ben J CurrieDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Alex Mk RothmanDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Dave CapenerDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Yousef ShahinDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Charlie A ElliotSheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Thanos CharalampopolousSheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Ian SabroeDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Smitha RajaramRadiology Department, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Catherine HillRadiology Department, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
Jim M WildDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Robin CondliffeSheffield Pulmonary Vascular Disease Unit, Royal Hallamshire Hospital, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
David G KielyINSIGNEO, Institute for In Silico Medicine, University of Sheffield, Sheffield, UK.
University of Sheffield · GBSheffield Teaching Hospitals NHS Foundation Trust · GBInsigneo · GBRoyal Hallamshire Hospital · GB

Funding

British Heart Foundation SP/14/6/31350Medical Research Council MR/M008894/1National Institute of Health Reseach NIHR - RP-R3-12-027Wellcome Trust 205188/Z/16/ZWellcome Trust R/148654-11-1
6 · The paper itself

Abstract

objectivesComputed tomography (CT) pulmonary angiography is widely used in patients with suspected pulmonary hypertension (PH). However, the diagnostic and prognostic significance remains unclear. The aim of this study was to (a) build a diagnostic CT model and (b) test its prognostic significance.

methodsConsecutive patients with suspected PH undergoing routine CT pulmonary angiography and right heart catheterisation (RHC) were identified. Axial and reconstructed images were used to derive CT metrics. Multivariate regression analysis was performed in the derivation cohort to identify a diagnostic CT model to predict mPAP ≥ 25 mmHg (the existing ESC guideline definition of PH) and > 20 mmHg (the new threshold proposed at the 6th World Symposium on PH). In the validation cohort, sensitivity, specificity and compromise CT thresholds were identified with receiver operating characteristic (ROC) analysis. The prognostic value of the CT model was assessed using Kaplan-Meier analysis.

resultsBetween 2012 and 2016, 491 patients were identified. In the derivation cohort (n = 247), a CT model was identified including pulmonary artery diameter, right ventricular outflow tract thickness, septal angle and left ventricular area. In the validation cohort (n = 244), the model was diagnostic, with an area under the ROC curve of 0.94/0.91 for mPAP ≥ 25/> 20 mmHg respectively. In the validation cohort, 93 patients died; mean follow-up was 42 months. The diagnostic thresholds for the CT model were prognostic, log rank, all p < 0.01. DISCUSSION: In suspected PH, a diagnostic CT model had diagnostic and prognostic utility. KEY POINTS: • Diagnostic CT models have high diagnostic accuracy in a tertiary referral population of with suspected PH. • Diagnostic CT models stratify patients by mortality in suspected PH.

Indexed as

AgedCardiac CatheterizationComputed Tomography AngiographyFemaleHumansHypertension, PulmonaryLungMaleMiddle AgedPulmonary ArteryPulmonary Wedge PressureROC CurveDiagnostic imagingHeart ventriclesHypertension, pulmonaryPulmonary artery

Identifiers

PMID32342182
PMCPMC7431437
OpenAlexW3018180105

What OpenQuestion holds

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LicenceCC BY
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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.