Evidence map›Paper›PMID 32861436›Full record

ArticleSurgery2021

Frailty measures can be used to predict the outcome of kidney transplant evaluation.

Priyadarshini Manay, Patrick Ten Eyck, Roberto Kalil, Melissa Swee, M Lee Sanders, Grace Binns, Jodell L Hornickel, Daniel A Katz

Open access · greenAbstract read
In one paragraph

Article in Surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Review
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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 at 4 institutions in 1 country.

Priyadarshini ManayDepartment of Surgery, Organ Transplant Center, University of Iowa Hospitals and Clinics, Iowa City, IA.
Patrick Ten EyckInstitute for Clinical and Translational Science, University of Iowa, Iowa City, IA.
Roberto KalilDepartment of Medicine, University of Maryland Medical Center, Baltimore, MD.
Melissa SweeDepartment of Medicine, Division of Nephrology, Organ Transplant Center, University of Iowa Hospitals and Clinics, Iowa City, IA; Veterans Affairs Medical Center, Iowa City, IA.
M Lee SandersDepartment of Medicine, Division of Nephrology, Organ Transplant Center, University of Iowa Hospitals and Clinics, Iowa City, IA; Veterans Affairs Medical Center, Iowa City, IA.
Grace BinnsVeterans Affairs Medical Center, Iowa City, IA.
Jodell L HornickelVeterans Affairs Medical Center, Iowa City, IA.
Daniel A KatzDepartment of Surgery, Organ Transplant Center, University of Iowa Hospitals and Clinics, Iowa City, IA; Veterans Affairs Medical Center, Iowa City, IA. Electronic address: daniel-katz@uiowa.edu.
Veterans Health Administration · USUniversity of Iowa · USUniversity of Iowa Hospitals and Clinics · USUniversity of Maryland, Baltimore · US

Funding

The University of Iowa Clinical and Translational Science AwardUL1TR002537 · NCATS · UNIVERSITY OF IOWA · PI HANSEN, MARLAN R, WINOKUR, PATRICIA · 2018 to 2022
$20.0M
NCATS NIH HHS UL1 TR002537
6 · The paper itself

Abstract

backgroundExperience incorporating frailty and functional metrics in the transplant evaluation process is limited. We hypothesized that simple tests correlate with kidney transplant listing outcomes.

methodsFrailty metrics, treadmill ability, pedometer data, troponin T, and brain natriuretic peptide were collected on 375 consecutive kidney transplant evaluations between July 2015 and December 2018. Patients initially denied were compared with those listed or deferred. Frailty metrics included handgrip, chair sit-stand, up-and-go, chair sit-reach, and questions related to exhaustion.

resultsA total of 95 (25%) patients were initially denied. Those denied were older, diabetic, or had higher body mass indexes. Frailty metrics including chair sit-stand, up-and-go, chair sit-reach, grip strength, and exhaustion; biochemical markers troponin and brain natriuretic peptide; and pedometer and treadmill ability were all significantly associated with denial (P < .001). The best order three model combining parsimony and predictiveness included treadmill ability, exhaustion, and troponin. The most predictive pedometer model also included exhaustion and up-and-go. The best order three model excluding biochemical markers, pedometer, and treadmill results included up-and-go, exhaustion, and chair sit-reach.

conclusionOutcomes after on-site kidney transplant evaluation strongly correlated with the results of common clinical and functional frailty metrics.

Indexed as

AgedBiomarkersExercise TestFemaleFrailtyHumansKidney TransplantationMaleMiddle AgedMultivariate AnalysisPatient Outcome AssessmentPrognosisBiomarkers

Identifiers

PMID32861436
PMCPMC7870463
OpenAlexW3080303160

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.