Evidence map›Paper›PMID 35380349›Full record

ArticleAging clinical and experimental research2022

Implementation of the frailty assessment to improve liver transplant outcomes.

Mattia Corradi, Chiara Mazzarelli, Matteo Cesari, Raffaella Viganò, Luca Saverio Belli

Abstract read
In one paragraph

Article in Aging clinical and experimental research, 2022. 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

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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. 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

5 authors.

Mattia CorradiScuola di Specializzazione in Malattie dell'Apparato Digerente, University of Milan, Milan, Italy. mattia.corradi@unimi.it.ORCID http://orcid.org/0000-0002-2261-0761
Chiara MazzarelliHepatology and Gastroenterology Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Matteo CesariDepartment of Clinical Sciences and Community Health, University of Milan, Milan, Italy.
Raffaella ViganòHepatology and Gastroenterology Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Luca Saverio BelliHepatology and Gastroenterology Unit, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of patients undergoing Orthotopic Liver Transplantation (OLT) have increased in age, therefore chronological age may have become an unreliable parameter for supporting clinical decisions. The age-related deficit accumulation model measuring frailty proposed by Rockwood et al., may propose an alternative in providing an estimate of an individual's biological age. No Frailty Index (FI) tailored specifically for OLT patients exists to date. Forty-three consecutive OLT patients with ≥ 20 years of survival with a functioning graft were included in our study. The FI was computed taking to account 39 items (FI-39), meeting the standard criteria for internal validation. Endpoints were polypharmacy, and recent Emergency Room admission. The mean age of our population was 69 (sd 9) years. The mean FI-39 was 0.23 (sd 0.1). The FI-39 was associated with polypharmacy [odds ratio (OR) 1.13; Confidence interval (95%CI) 1.03-1.24; p = 0.01], and recent Emergency Room admission [beta coefficient + 1.98; 95%CI + 0.26, + 3.70; p = 0.03], independent for age and sex. This study demonstrates that an FI can be derived from data collected during routine clinical follow-up and allows for improved differentiation related to the OLT clinical complexity in OLT patients, independent of chronological age. This may lead to the adoption of FI-39 to improve personalized OLT patient care.

Indexed as

FrailtyLiver TransplantationAgedFrail ElderlyGeriatric AssessmentHumansMiddle AgedTreatment OutcomeFrailtyFrailty IndexImproving outcomesLiver TransplantationLong term survivors

Identifiers

PMID35380349
PMCPMC8981198

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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.