Evidence map›Paper›PMID 32179995›Full record

ArticleEuropean radiology2020

Quantitative coronary computed tomography angiography for the detection of cardiac allograft vasculopathy.

Borek Foldyna, Marcus Sandri, Christian Luecke, Jens Garbade, Robin Gohmann, Jochen Hahn, Julia Fischer, Matthias Gutberlet, Lukas Lehmkuhl

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 11 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 2 institutions in 2 countries.

Borek FoldynaDepartment of Interventional and Diagnostic Radiology, University of Leipzig - Heart Center, Struempellstrasse 39, 04289, Leipzig, Germany. bfoldyna@mgh.harvard.edu.ORCID http://orcid.org/0000-0002-2466-4827
Marcus SandriDepartment of Cardiology, University of Leipzig - Heart Center, Leipzig, Germany.
Christian LueckeDepartment of Interventional and Diagnostic Radiology, University of Leipzig - Heart Center, Struempellstrasse 39, 04289, Leipzig, Germany.
Jens GarbadeUniversity Department for Cardiac Surgery, Leipzig Heart Center, Leipzig, Germany.
Robin GohmannDepartment of Interventional and Diagnostic Radiology, University of Leipzig - Heart Center, Struempellstrasse 39, 04289, Leipzig, Germany.
Jochen HahnUniversity Department for Cardiac Surgery, Leipzig Heart Center, Leipzig, Germany.
Julia FischerDepartment of Cardiology, University of Leipzig - Heart Center, Leipzig, Germany.
Matthias Gutberlet *Department of Interventional and Diagnostic Radiology, University of Leipzig - Heart Center, Struempellstrasse 39, 04289, Leipzig, Germany.
Lukas Lehmkuhl *Department of Interventional and Diagnostic Radiology, University of Leipzig - Heart Center, Struempellstrasse 39, 04289, Leipzig, Germany.
Leipzig Heart Institute · DERhön-Klinikum · DE

Funding

Cardiovascular Imaging in Ischemic Heart DiseaseK24HL113128 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HOFFMANN, UDO · 2012 to 2020
$1.1M
Deutsche Forschungsgemeinschaft FO 993/1
6 · The paper itself

Abstract

objectivesTo associate coronary wall volume and composition, derived from coronary computed tomography angiography (CTA), with cardiac allograft vasculopathy (CAV) detected on invasive coronary angiography (ICA) in heart-transplanted (HTX) patients.

methodsWe included consecutive adults who received ICA and coronary CTA for evaluation of CAV ≥ 10 months after HTX. In all coronary segments, we assessed lumen and wall volumes and segmental length, calculated volume-length ratio (VLR) (volumes indexed by segmental length; mm

resultsAmong 50 patients (84% men; 53.6 ± 11.9 years), we analyzed 632 coronary segments. Mean interval between HTX and CTA was 6.7 ± 4.7 years and between ICA and CTA 1 (0-1) day. Segmental VLR, WB, and proportion of fibrotic tissue were independently associated with CAV (OR = 1.06-1.27; p ≤ 0.002), reaching a high discriminatory capacity (combination of all three: AUC = 0.84; 95%CI, 0.75-0.90). Concordance between CTA and ICA was higher in advanced CAV (88%) compared with that in none (37%) and mild (19%) CAV. Discordance was primarily driven by a large number of segments with coronary wall changes on CTA but without luminal stenoses on ICA (177/591; 25%).

conclusionCTA-derived coronary wall VLR, WB, and the proportion of fibrotic tissue are independent markers of CAV. Combination of these three parameters may aid the detection of early CAV not detected by ICA, the current standard of care. KEY POINTS: • Coronary CTA detects CAV in HTX patients. • Coronary wall volume-length ratio, wall burden, and proportion of fibrotic tissue are independently associated with CAV. • In contrast to ICA, coronary CTA may identify the early stages of CAV.

Indexed as

Heart TransplantationAdultAgedAllograftsCardiac CatheterizationComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary VesselsEarly DiagnosisFemaleHumansMaleMiddle AgedPostoperative ComplicationsTomography, X-Ray ComputedCardiac allograft vasculopathyComputed tomography angiographyHeart transplantationInvasive coronary angiography

Identifiers

PMID32179995
PMCPMC7338811
OpenAlexW3011242164

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.