Evidence map›Paper›PMID 40327190›Full record

ArticleCVIR endovascular2025

Assessment of aortic and iliac artery calcification using CT-angiography in kidney transplant candidates.

Ola Sobhy A Elmeseiny, Simon Winther, Hanne Skou Jørgensen, My Svensson, Morten Bøttcher, Per Ivarsen, Gratien Andersen, Henrik Birn, Marie Bodilsen Nielsen

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Article in CVIR endovascular, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

9 authors.

Ola Sobhy A ElmeseinyDepartment of Biomedicine, Aarhus University, Aarhus, Denmark. olamsn@live.dk.ORCID http://orcid.org/0009-0004-2519-9084
Simon WintherDepartment of Cardiology, Gødstrup Hospital, Herning, Denmark.
Hanne Skou JørgensenDepartment of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark.
My SvenssonDepartment of Nephrology, Aalborg University Hospital, Aalborg, Denmark.
Morten BøttcherDepartment of Cardiology, Gødstrup Hospital, Herning, Denmark.
Per IvarsenDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Gratien AndersenDepartment of Radiology, Aarhus University Hospital, Aarhus, Denmark.
Henrik BirnDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Marie Bodilsen NielsenDepartment of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAssessment of vascular calcification provides the opportunity for risk stratification in kidney transplant candidates (KTCs), as vascular calcification constitutes an independent risk factor for cardiovascular events. The aim of the present study is to explore the feasibility of contrast enhanced computed tomography (CT)-angiography to quantitate vascular calcification, to avoid the extra radiation of an additional non-contrast CT scan. METHODS AND MATERIALS: 43 KTCs who underwent concomitant non-contrast CT scans and CT-angiographies of the infrarenal aorta and iliac arteries were included. Vascular calcification was quantified using the Agatston method on non-contrast CT and applying individual Hounsfield Unit thresholds on CT-angiographies based on the radio density of the aortic lumen. The calcium scores and volumes from non-contrast CT scans and CT-angiographies were compared using linear regression and Bland-Altman plots.

resultsNon-contrast CT revealed vascular calcification in the infrarenal aorta in 92% of KTCs and in the iliac arteries in 90% of KTCs. The calcium scores estimated from CT-angiography correlated linearly with the calcium scores based on non-contrast CT scans (infrarenal aorta: R

conclusionVascular calcification is present in the majority of KTCs. Calcification of the infrarenal aorta and iliac arteries may be assessed using CT-angiography, though higher calcium scores and lower volumes are found compared to the non-contrast CT scan.

Identifiers

PMID40327190
PMCPMC12055728

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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.