Evidence map›Paper›PMID 41573385›Full record

ArticleTransplant international : official journal of the European Society for Organ Transplantation2025

Age-Related Risk After Kidney Transplantation: A Comprehensive Analysis of Infection Burden, Graft Outcomes, and Mortality.

Iris Schröter, Daniela Schindler, Martin Zeier, Thomas Giese, Claudia Sommerer

Abstract read
In one paragraph

Article in Transplant international : official journal of the European Society for Organ Transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
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

5 authors.

Iris SchröterDepartment of Nephrology, University Hospital Heidelberg, Heidelberg, Germany.
Daniela SchindlerGerman Centre for Infection Research (DZIF), Munich, Germany.
Martin ZeierDepartment of Nephrology, University Hospital Heidelberg, Heidelberg, Germany.
Thomas GieseDepartment of Immunology, University Hospital Heidelberg, Heidelberg, Germany.
Claudia SommererDepartment of Nephrology, University Hospital Heidelberg, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the increasing number of kidney transplantation in elderly recipients, understanding age-specific risks is essential for optimized post-transplant care. We analyzed 572 kidney transplant recipients from the DZIF Transplant Cohort (2012-2023), stratified by age: <40 (n = 146), 40-60 (n = 279), >60 years (n = 147). Outcomes included infection burden, graft outcomes, and mortality over a median follow-up of 5 years. Multivariable Cox models with inverse probability weighting, adjusted for clinical confounders, was applied. In older recipients, the unadjusted 5-year rates of graft failure, mortality, and infections were significantly higher-both overall and for specific types, including pneumonia, urinary tract infections, invasive opportunistic infections, and multidrug-resistant infections. After adjustment, age remained only independently associated with mortality (HR = 6.21, p = 0.02), but not with overall infection burden or graft loss. Older patients exhibited a shift in pathogen prevalence, particularly for

Indexed as

Kidney TransplantationAdultAgedAge FactorsFemaleGraft RejectionGraft SurvivalHumansMaleMiddle AgedPostoperative ComplicationsProportional Hazards ModelsRisk FactorsUrinary Tract Infectionsageelderly recipientsfungalinfectionskidney transplantation

Identifiers

PMID41573385
PMCPMC12822487

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.