Evidence map›Paper›PMID 42620985›Full record

ReviewEuropean urology open science2026

Abdominopelvic Preoperative Imaging in Adult Candidates for Kidney Transplant: A Systematic Review of Its Impact on Surgical Decision-making.

Alberto Costa Silva, Francesco Di Bello, Alicia Lopez-Abdad, Hakan Bahadir Haberal, Alberto Piana, Alessio Pecoraro, Muhammet İrfan Dönmez, Beatriz Bañuelos Marco, Thomas Prudhomme, João Alturas Silva and 3 more

Abstract readReview
In one paragraph

Review in European urology open science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Alberto Costa SilvaDepartment of Urology, São João University Hospital Centre, Faculty of Medicine of University of Porto, RISE - Health Research Network, Porto, Portugal.
Francesco Di BelloDepartment of Neurosciences, Reproductive and Odontostomatologic Sciences, University of Naples "Federico II," C.so Umberto I, Naples, Italy.
Alicia Lopez-AbdadDepartment of Urology, Virgen de La Arrixaca University Hospital, Murcia, Spain.
Hakan Bahadir HaberalDepartment of Urology, Ankara Ataturk Sanatorium Training and Research Hospital, Ministry of Health, University of Health Sciences, Ankara, Turkey.
Alberto PianaDepartment of Urology, San Luigi Gonzaga Hospital, University of Turin, Turin, Italy.
Alessio PecoraroUnit of Urological Robotic Surgery and Renal Transplantation, Careggi Hospital, University of Florence, Florence, Italy.
Muhammet İrfan DönmezDepartment of Urology, Istanbul Faculty of Medicine, Division of Pediatric Urology, Istanbul University, Istanbul, Turkey.
Beatriz Bañuelos MarcoDepartment of Urology, Renal Transplant Division, University Hospital Clínico San Carlos, Madrid, Spain.
Thomas PrudhommeDepartment of Urology and Kidney Transplantation, Rangueil University Hospital, Toulouse, France.
João Alturas SilvaDepartment of Urology, São João University Hospital Centre, Faculty of Medicine of the University of Porto, and a member of RISE - Health Research Network, Porto, Portugal.
Alberto BredaUro-Oncology and Kidney Transplant Unit, Department of Urology at "Fundació Puigvert" Hospital, Autonoma University of Barcelona, Barcelona, Spain.
Angelo TerritoUro-Oncology and Kidney Transplant Unit, Department of Urology at "Fundació Puigvert" Hospital, Autonoma University of Barcelona, Barcelona, Spain.
EAU Young Academic Urologists (YAU) Kidney Transplantation Working Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Kidney transplantation (KT) is the treatment of choice for end-stage kidney disease, but technical success depends on thorough preoperative evaluation. Imaging may detect vascular calcifications, anatomic abnormalities, or incidental findings that influence surgical planning. However, recommendations remain heterogeneous, and the optimal imaging strategy is unclear. Objective: To assess the role of preoperative abdominopelvic imaging in adult candidates for KT and its impact on surgical decision-making and outcomes. Evidence acquisition: Following Preferred Reporting Items for Systematic reviews and Meta-Analyses 2020 guidelines, PubMed/MEDLINE and Embase were searched (January 2000-August 2025) for studies reporting preoperative imaging in candidates for KT. Included modalities were Doppler ultrasound (DUS), contrast-enhanced ultrasound, noncontrast computed tomography (NCCT), computed tomography angiography, magnetic resonance imaging, and plain abdominal x-ray. Outcomes included detection of surgically relevant abnormalities, changes in surgical planning, and exclusion from transplantation. Evidence synthesis: Thirteen studies (eight prospective, five retrospective; 20-470 patients) were included. Imaging findings modified surgical strategy in up to 24% of cases and led to exclusion from KT in 2.0-29%. Vascular calcifications were identified in 14-20% with DUS and up to 90% with NCCT. Age, diabetes, and dialysis duration were common criteria for imaging. Data heterogeneity and limited sample sizes restricted firm conclusions. Conclusions: Preoperative imaging can support surgical planning in KT, although the current evidence base remains limited. Although prospective studies are needed and are likely challenging to perform, a structured expert consensus could serve as a useful interim step to encourage more consistent imaging practices and help inform future multicentric research.

Indexed as

Computed tomographyKidney transplantationPreoperative imagingSurgical planningSystematic reviewUltrasoundVascular calcification

Identifiers

PMID42620985
PMCPMC13487273

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.