Evidence map›Paper›PMID 34486175›Full record

ArticleClinical transplantation2022

Predictive value of chart-based frailty evaluation for lung transplant candidates.

Serina Gee, Yoon Lee, Aloukika Shah, Ehsan Izadmehr, John Belperio, Yusaku Shino, Sam Weigt, Deena Goldwater, Joanna Schaenman

Open access · greenAbstract read
In one paragraph

Article in Clinical transplantation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 1 institution in 1 country.

Serina GeeDavid Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Yoon LeeDavid Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Aloukika ShahDavid Geffen School of Medicine at UCLA, Los Angeles, California, USA.
Ehsan IzadmehrDavid Geffen School of Medicine at UCLA, Los Angeles, California, USA.
John BelperioUCLA Department of Medicine, Division of Pulmonary Disease, Los Angeles, California, USA.
Yusaku ShinoUCLA Department of Medicine, Division of Pulmonary Disease, Los Angeles, California, USA.
Sam WeigtUCLA Department of Medicine, Division of Pulmonary Disease, Los Angeles, California, USA.
Deena GoldwaterUCLA Department of Medicine, Division of Geriatrics, Los Angeles, California, USA.
Joanna SchaenmanUCLA Department of Medicine, Division of Infectious Disease, Los Angeles, California, USA.ORCID 0000-0003-1174-3961
University of California, Los Angeles · 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 AG055879NIH NIA R21 AG055879-01A1
6 · The paper itself

Abstract

Frailty, defined as a state of decreased physiologic reserve, has been correlated with poorer outcomes after hospitalization or surgery. Studies in lung transplant patients have associated frailty with an increased risk of post-transplant mortality; however, a unified approach is lacking. The identification of frail patients can help clinicians pre-emptively target modifiable risk factors and may facilitate risk stratification. The Frailty Risk Score (FRS) is a chart review-based approach based on eight symptoms and four laboratory biomarkers. We applied this method in a retrospective study to investigate its utility in predicting post-transplant lung outcomes. Eighty-four lung transplant recipients were evaluated, including 51 older (≥ 60) and 33 younger (< 60) patients. Median FRS score was 3.9, with 63 categorized as frail (75%) and 21 as non-frail (25%), using a previously published cut-off of ≥3 to define frailty. A high FRS was associated with readmission in the first year after transplantation and with the number of readmissions. There was also an association between FRS score and death (p = .047). FRS may be a viable tool in the assessment of lung transplant candidates. Frail patients may benefit from earlier referral and targeted therapy prior to transplant, as well as close post-transplant follow-up.

Indexed as

FrailtyLung TransplantationHumansRetrospective StudiesRisk FactorsTransplant Recipientsagingcandidate evaluationfrailtylung transplantation

Identifiers

PMID34486175
PMCPMC9419922
OpenAlexW3196737100

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.