Evidence map›Paper›PMID 31890257›Full record

ArticlePilot and feasibility studies2019

The Frailty Risk Score predicts length of stay and need for rehospitalization after kidney transplantation in a retrospective cohort: a pilot study.

Joanna Schaenman, Loren Castellon, Emily C Liang, Deepa Nanayakkara, Basmah Abdalla, Catherine Sarkisian, Deena Goldwater

Open access · goldAbstract read
In one paragraph

Article in Pilot and feasibility studies, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  5. Review
  6. Frailty in Kidney Disease: A Comprehensive Review to Advance Its Clinical and Research Applications.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2025
    Review
  7. Frailty and post-transplant adverse outcomes among kidney transplant recipients A systematic review and meta-analysis.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2024
    Article
  8. Article
  9. Review
  10. Review
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  12. Observational
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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

7 authors at 2 institutions in 1 country.

Joanna Schaenman1Division of Infectious Diseases, Department of Medicine, David Geffen School of Medicine, Los Angeles, CA USA.ORCID 0000-0003-1174-3961
Loren Castellon2Albert Einstein College of Medicine, New York City, New York USA.
Emily C Liang1Division of Infectious Diseases, Department of Medicine, David Geffen School of Medicine, Los Angeles, CA USA.
Deepa Nanayakkara1Division of Infectious Diseases, Department of Medicine, David Geffen School of Medicine, Los Angeles, CA USA.
Basmah Abdalla3Division of Nephrology, Department of Medicine, David Geffen School of Medicine, Los Angeles, CA USA.
Catherine Sarkisian4Division of Geriatrics, Department of Medicine, David Geffen School of Medicine, Los Angeles, CA USA.
Deena Goldwater4Division of Geriatrics, Department of Medicine, David Geffen School of Medicine, Los Angeles, CA USA.
University of California, Los Angeles · USAlbert Einstein College of Medicine · US

Funding

Evaluation of Epigenetic Markers of Biologic Age to Predict Adverse Outcomes after TransplantationR21AG055879 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SCHAENMAN, JOANNA M · 2018 to 2019
$429k
NIA NIH HHS R21 AG055879
6 · The paper itself

Abstract

backgroundFrailty is a widely used measure in older patients as a predictor of poor outcomes after hospitalization and surgery. There is a growing body of data in kidney transplantation suggesting frailty can predict adverse outcomes. There is interest in using chart review measures of frailty and multimorbidity, as they may be equally predictive as physical measurement. This approach holds promise for patient evaluation, identifying candidates for prehabilitation, and targeting resources towards those anticipated to have an increased rate of clinical challenges after kidney transplantation. Frail patients who are often older may place a large resource and economic burden on transplant programs.

methodsWe applied a previously published chart review-based approach in a retrospective, pilot study to calculate the Frailty Risk Score (FRS) utilizing a cohort of kidney transplant patients. We reviewed concurrent comorbidities using the Charlson comorbidity (CM) score to determine the feasibility and utility of applying this approach in transplant patients to predict post-transplant outcomes such as length of hospitalization and the need for rehospitalization.

resultsSixty kidney transplant recipients were evaluated by chart review, 23 characterized as older (> = 60) and 37 younger (ages 30-59). Median FRS score was 3 (range 1-7). Higher FRS was significantly associated with increased patient age (high FRS 19% in younger patients, 43% in older patients). Increased CM score was also associated with increased patient age. Patients with a high FRS stayed in the hospital for an average of 8 days, compared with 5.7 days for a low FRS. Patients with high FRS were readmitted an average of 2.9 times compared with an average of 1.1 for those with a low FRS. FRS score remained significant for predicting outcomes after adjustment for patient age.

conclusionElevated FRS prior to transplantation was associated with increased hospital stay and the need for readmission in kidney transplant recipients. This analysis demonstrates the potential strength of chart review in evaluating frailty prior to transplantation, permitting risk stratification and targeting of resources for rehabilitation and close post-transplant monitoring. Frail patients may benefit from targeted "prehabilitation" to attenuate the associated adverse clinical outcomes.

Indexed as

ComorbidityFrailtyKidney transplantationOlderReadmission

Identifiers

PMID31890257
PMCPMC6905019
OpenAlexW2995945719

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.