Evidence map›Paper›PMID 39866678›Full record

ArticleTransplantation direct2025

Systematic, Pretransplant Screening by Aortoiliac CT Angiography: Impact on Surgical Decision-making and Clinical Outcomes.

Marie B Nielsen, Jacob Budtz-Lilly, Jonathan N Dahl, Anna K Keller, Bente Jespersen, Per R Ivarsen, Simon Winther, Henrik Birn

Abstract read
In one paragraph

Article in Transplantation direct, 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

8 authors.

Marie B NielsenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Jacob Budtz-LillyDepartment of Vascular Surgery, Aarhus University Hospital, Aarhus, Denmark.
Jonathan N DahlDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Anna K KellerDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Bente JespersenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Per R IvarsenDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Simon WintherDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Henrik BirnDepartment of Clinical Medicine, Aarhus University, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aortoiliac screening before kidney transplantation is suggested by some guidelines to select patients for transplantation and to assist surgical planning. We investigated the clinical outcomes of systematic screening for aortoiliac disease in potential kidney transplant candidates. Methods: In this observational study, 470 potential kidney transplant candidates underwent aortoiliac computed tomography angiography. Patients were characterized by the presence of peripheral artery disease and calcification of iliac arteries and aortoiliac arteries. The risk of graft loss and graft function at 1 y posttransplant were examined and clinical decisions based on the vascular findings were assessed. Results: Clinically diagnosed peripheral artery disease was present in 66 patients (14%), circular calcifications in 101 patients (21%), and aortoiliac stenosis in 77 patients (16%). In 326 patients undergoing kidney transplantation, circular calcification or aortoiliac stenosis was not associated with an increased risk of graft loss ( Conclusions: Systematic screening by aortoiliac computed tomography angiography may assist in surgical planning but seems of limited clinical value in assessing the risk of future graft loss and graft function in patients undergoing kidney transplantation.

Identifiers

PMID39866678
PMCPMC11759323

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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.