Evidence map›Paper›PMID 40847998›Full record

ArticleClinical transplantation2025

Pre- and Post-Kidney Transplant Abdominal Computed Tomography-Based Muscle Measurements and Post-KT Outcomes.

Yi Liu, Harris Z Whiteson, Jingyao Hong, Nidhi Ghildayal, Omid Shafaat, Clifford R Weiss, Robert A Pol, Aarti Mathur, Babak J Orandi, Dorry L Segev and 1 more

Abstract read
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In one paragraph

Article in Clinical transplantation, 2025. 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

11 authors.

Yi LiuDepartment of Surgery, New York University Grossman School of Medicine, New York, New York, USA.
Harris Z WhitesonDepartment of Surgery, New York University Grossman School of Medicine, New York, New York, USA.
Jingyao HongDepartment of Surgery, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-8156-1306
Nidhi GhildayalDepartment of Surgery, New York University Grossman School of Medicine, New York, New York, USA.
Omid ShafaatDivision of Vascular and Interventional Radiology, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Clifford R WeissDivision of Vascular and Interventional Radiology, The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Robert A PolDivision of Transplant Surgery, Department of Surgery, University of Groningen, Groningen, the Netherlands.
Aarti MathurDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Babak J OrandiDepartment of Surgery, New York University Grossman School of Medicine, New York, New York, USA.
Dorry L SegevDepartment of Surgery, New York University Grossman School of Medicine, New York, New York, USA.
Mara A McAdams-DeMarcoDepartment of Surgery, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0003-3013-925X

Funding

Cognitive Decline and Incident Dementia in Older Patients with Secondary HyperparathyroidismR01AG076834 · NIA · JOHNS HOPKINS UNIVERSITY · PI Aarti Mathur · 2023 to 2026
$3.3M
Patient Oriented Research in Solid Organ TransplantationK24AI144954 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEGEV, DORRY L. · 2020 to 2024
$956k
Impact of climate change on cognitive and physical aging of older kidney transplant recipientsK02AG076883 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mara A. McAdams DeMarco · 2023 to 2026
$728k
NIAID NIH HHS K24 AI144954NIA NIH HHS K02 AG076883NIA NIH HHS K02AG076883NIA NIH HHS R01 AG076834NIA NIH HHS R01AG076834the National Institute of Allergy and Infectious Disease K24AI144954
6 · The paper itself

Abstract

introductionEarly post-kidney transplant (KT) changes likely impact body composition, resulting in adverse post-KT outcomes. We estimated post-KT trajectories of computed tomography (CT)-based muscle quantity/quality and tested whether they were associated with mortality and death-censored graft loss (DCGL) among frail and nonfrail recipients.

methodsWe leveraged a cohort of 294 adult KT recipients (December 2008-February 2020) with CT measurements (muscle quantity: skeletal muscle index; muscle quality: skeletal muscle radiation attenuation). We used mixed linear regression models to estimate 3-year post-KT muscle quantity/quality trajectories. Cox proportional hazard models quantified the association between time-varying pre-/post-KT muscle mass measurements and post-KT mortality and DCGL.

resultsMuscle quantity (-2.4 cm

conclusionLower pre-/post-KT muscle quantity/quality were associated with higher risks of post-KT adverse outcomes. Pre-/post-KT rehabilitation to improve muscle quantity/quality may be an effective clinical intervention to minimize risks of adverse post-KT outcomes.

Indexed as

Graft RejectionKidney Failure, ChronicKidney TransplantationMuscle, SkeletalPostoperative ComplicationsTomography, X-Ray ComputedAdultAgedBody CompositionFemaleFollow-Up StudiesGlomerular Filtration RateGraft SurvivalHumansMaleMiddle Agedbody compositioncomputed tomographykidney transplantpost‐transplant outcomestrajectory

Identifiers

PMID40847998
PMCPMC12421439

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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.