Evidence map›Paper›PMID 41963846›Full record

ArticleBMC nephrology2026

Single-kidney transplantation with discarded partner kidney vs. Dual kidney transplantation: results from a national cohort study.

Stephanie Näf, Simon Schwab, Isabelle Binet, Alexander Ritter, Max J Rieger, Déla Golshayan, Fadi Haidar, Franz Immer, Thomas Schachtner, Stefan Schaub and 5 more

Abstract readMulticenter StudyComparative Study
In one paragraph

Article in BMC nephrology, 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

15 authors.

Stephanie NäfBESAS Bern Hospital Center for Geriatric Medicine Siloah, Gümligen, Bern, Switzerland.
Simon SchwabSwisstransplant, Bern, Switzerland.ORCID 0000-0002-1588-2689
Isabelle BinetDivision of Nephrology and Transplantation Medicine, HOCH Cantonal Hospital St.Gallen, St. Gallen, Switzerland.
Alexander RitterDivision of Nephrology and Transplantation Medicine, HOCH Cantonal Hospital St.Gallen, St. Gallen, Switzerland.ORCID 0000-0002-9049-0765
Max J RiegerDepartment of Medical Oncology and Hematology, University Hospital of Zurich, Zurich, Switzerland.ORCID 0000-0002-8441-4547
Déla GolshayanTransplantation Center, Department of Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID 0000-0001-5631-6096
Fadi HaidarDivision of Nephrology and Hypertension, Department of Medicine, Geneva University Hospital, Geneva, Switzerland.
Franz ImmerSwisstransplant, Bern, Switzerland.
Thomas SchachtnerDivision of Nephrology, University Hospital Zurich, Zurich, Switzerland.ORCID 0000-0001-5549-4798
Stefan SchaubTransplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland.ORCID 0000-0002-9170-1341
Thomas WolffDepartment of Visceral Surgery, University Hospital Basel, Basel, Switzerland.ORCID 0000-0001-9877-1097
Rafal PorzucekPatient Representative for the STCS Psychosocial Interest Group (PSIG), Basel, Switzerland.
Daniel SidlerDivision of Nephrology and Hypertension,Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID 0000-0002-2435-5936
Christian KuhnDivision of Nephrology and Transplantation Medicine, HOCH Cantonal Hospital St.Gallen, St. Gallen, Switzerland. christian.kuhn@h-och.ch.ORCID 0000-0003-1346-3429
the Swiss Transplant Cohort Study (STCS)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe transplantation of a single kidney, while its partner kidney is discarded despite both having been initially offered (dual-offered, single-transplanted; DOST), represents a missed opportunity to preserve nephron mass and optimize donor utilization. Dual kidney transplantation (DKT) preserves nephron mass by transplanting both kidneys from a higher-risk donor, but its benefits relative to DOST remain underexplored.

methodsIn this nationwide multicenter cohort (2008–2021), we analyzed 36 DKT and 20 DOST recipients. Both groups were propensity-matched 1:2 to 112 regular single-kidney transplant recipients (RegT) based on donor and recipient characteristics. The primary endpoint was estimated glomerular filtration rate (eGFR) at 12 months. Secondary endpoints included eGFR through 5 years, death-censored graft and patient survival, perioperative metrics, and 12-month quality of life (EQ-5D).

resultsAt 12 months, median eGFR was higher in DKT (50.8 ml/min/1.73 m2) than DOST (33.5 ml/min/1.73 m2) or RegT (38.0 ml/min/1.73 m2; p < 0.001), with differences sustained through 5 years. Graft and patient survival were similar. DKT involved longer surgery (270 vs. 163 min; p < 0.001), greater blood loss (550 vs. 300 ml; p = 0.084), and more transfusions (75% vs. 30%; p = 0.0017) but no increase in delayed graft function or major complications. EQ-5D scores were higher in DKT (85.0) than DOST (70.0) and RegT (71.0; p = 0.048).

conclusionDKT is an effective approach for higher-risk donor kidneys and was associated with higher graft function and quality of life. Despite increased operative complexity and transfusion requirements, there was no evidence of increased postoperative morbidity. Broader adoption may reduce unnecessary kidney discards and improve transplant outcomes, although findings should be interpreted in light of the limited sample size and observational design.

Indexed as

Donor SelectionKidney Failure, ChronicKidney TransplantationAdultCohort StudiesFemaleGlomerular Filtration RateGraft SurvivalHumansMaleMiddle AgedQuality of LifeTissue DonorsAllograft functionDual kidney transplantationMarginal donorOrgan discardQuality of life

Identifiers

PMID41963846
PMCPMC13191890

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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.