Evidence map›Paper›PMID 40785852›Full record

ArticleTransplantation direct2025

Cognitive Impairment in CMV Seropositive and CMV Seronegative Deceased Donor Kidney Transplant Recipients.

Maheen Z Abidi, Xiaomeng Chen, Yi Liu, Nadia M Chu, Aarti Mathur, Adriana Weinberg, Bruce Kaplan, Silas Norman, Jingyao Hong, Dorry L Segev and 2 more

Abstract read
PubMed Full text at PMC Publisher
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

12 authors.

Maheen Z AbidiDivision of Infectious Diseases, Department of Medicine, University of Colorado, Denver, CO.
Xiaomeng ChenDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Yi LiuDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Nadia M ChuDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Aarti MathurDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD.
Adriana WeinbergDivision of Pediatric Infectious Diseases, Department of Medicine, University of Colorado, Denver, CO.
Bruce KaplanDepartment of Surgery, University of Colorado, Denver, CO.
Silas NormanDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
Jingyao HongDepartment of Surgery, NYU Grossman School of Medicine and Langone Health, New York, NY.
Dorry L SegevDepartment of Surgery, NYU Grossman School of Medicine and Langone Health, New York, NY.
Kristine M ErlandsonDivision of Infectious Diseases, Department of Medicine, University of Colorado, Denver, CO.
Mara A McAdams-DeMarcoDepartment of Surgery, NYU Grossman School of Medicine and Langone Health, New York, NY.

Funding

Mentoring Across Disciplines: Aging and Infectious Diseases with a Focus on MobilityK24AG082527 · NIA · UNIVERSITY OF COLORADO DENVER · PI Kristine Mace Erlandson · 2023 to 2026
$768k
NIA NIH HHS K24 AG082527
6 · The paper itself

Abstract

Background: Kidney transplant recipients (KTRs) experience a high burden of cytomegalovirus infection (CMV R Methods: In a 2-center prospective cohort study of 574 KTRs (mean age: 54.7 y), we obtained CMV donor/recipient (D/R) serostatus and measured pre- and post-KT cognitive function using the Modified Mini-Mental State Examination. We estimated post-KT global cognitive function trajectories by CMV serostatus using adjusted mixed effect models with linear spline terms. Results: Two hundred twenty-two (38.6%) recipients were CMV D Conclusions: CMV D

Identifiers

PMID40785852
PMCPMC12333801

What OpenQuestion holds

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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.