Evidence map›Paper›PMID 42848402›Full record

ArticleJAMA network open2026

Survival Outcomes Following Preemptive vs Nonpreemptive Kidney Transplantation.

Christie Rampersad, Ian Tatt Liew, Kuan Liu, Georgina L Irish, Philip A Clayton, Greg Knoll, Kyla Naylor, S Joseph Kim

Abstract read
In one paragraph

Article in JAMA network open, 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

8 authors.

Christie RampersadAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Ian Tatt LiewDepartment of Renal Medicine, Singapore General Hospital, Singapore, Singapore.
Kuan LiuAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.
Georgina L IrishTransplant Epidemiology Group (TrEG), Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia.
Philip A ClaytonTransplant Epidemiology Group (TrEG), Australia and New Zealand Dialysis and Transplant (ANZDATA) Registry, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, South Australia, Australia.
Greg KnollDivision of Nephrology, Department of Medicine and Kidney Research Centre, Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada.
Kyla NaylorDepartments of Medicine and Epidemiology and Biostatistics, Western University, London, Ontario, Canada.
S Joseph KimAjmera Transplant Centre, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Preemptive kidney transplantation (before dialysis) is promoted as optimal therapy for kidney failure, yet evidence of a true survival advantage remains uncertain due to confounding, selection, and lead-time biases. Objective: To estimate the associations of preemptive vs nonpreemptive kidney transplantation with mortality and graft outcomes using a target trial emulation among transplant recipients. Design, Setting, and Participants: This retrospective cohort study used data from the Scientific Registry of Transplant Recipients, a nationwide registry of all US kidney transplant centers, from January 1, 2005, to November 30, 2023. Adult first kidney-alone transplant recipients with recorded wait-time start at an estimated glomerular filtration rate (eGFR) of 20 mL/min/1.73 m2 or less were included. Groups were balanced using stabilized inverse probability of treatment weighting (IPTW) to emulate randomization across demographic, clinical, and socioeconomic factors identified by a directed acyclic graph. Analyses were conducted from July to October 2025. Exposures: Preemptive vs nonpreemptive kidney transplantation, defined by dialysis before transplant. Main Outcomes and Measures: The primary outcome was all-cause mortality; secondary outcomes were all-cause graft failure, death-censored graft failure, and delayed graft function. IPTW was incorporated for baseline confounding to address selection bias. Weighted Kaplan-Meier curves estimated survival differences; hazard ratios (HRs) and odds ratios (ORs) were derived from weighted left-truncated Cox proportional hazards (to address lead-time bias) and logistic regression models, respectively. Results: Among 32 770 recipients (15 894 [48.5%] preemptive [mean (SD) age, 53.7 (13.1) years; 7007 (44.1%) female] and 16 876 [51.5%] nonpreemptive [mean (SD) age, 54.5 (13.0) years; 6978 (41.3%) female]) with more than 265 369 person-years of follow-up, 6827 deaths occurred. Preemptive transplantation showed no mortality benefit (HR, 1.02; 95% CI, 0.96-1.07). The weighted survival differences were approximately 1% to 2% annually. Preemptive transplantation was associated with lower odds of delayed graft function (OR, 0.68; 95% CI, 0.64-0.72) and reduced risk of death-censored graft failure (HR, 0.81; 95% CI, 0.74-0.88), an association largely attenuated after adjustment for delayed graft function. There was no association with all-cause graft failure (HR, 0.96; 95% CI, 0.91-1.00). Conclusions and Relevance: In this study, preemptive transplantation was not associated with improved patient survival but was associated with lower rates of delayed graft function and death-censored graft failure. Findings challenge presumed survival advantages and suggest preemptive strategies should focus on preventing early graft dysfunction and optimizing use of high-risk kidneys rather than expected mortality benefit.

Indexed as

Kidney Failure, ChronicKidney TransplantationAdultDelayed Graft FunctionFemaleGlomerular Filtration RateGraft SurvivalHumansMaleMiddle AgedRegistriesRenal DialysisRetrospective StudiesUnited States

Identifiers

PMID42848402
PMCPMC13650665

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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.