Evidence map›Paper›PMID 36050635›Full record

Observational studyBMC geriatrics2022

Transitions between degrees of multidimensional frailty among older people admitted to intermediate care: a multicentre prospective study.

Jordi Amblàs-Novellas, Anna Torné, Ramon Oller, Joan Carles Martori, Joan Espaulella, Roman Romero-Ortuno

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

6 authors at 2 institutions in 2 countries.

Jordi Amblàs-NovellasCentral Catalonia Chronicity Research Group (C3RG), Centre for Health and Social Care Research (CESS), Faculty of Medicine, University of Vic-Central University of Catalonia (UVIC-UCC), Rambla Hospital 52, 08500, Vic, Barcelona, Spain. jordiamblas@gmail.com.ORCID 0000-0002-2338-3054
Anna TornéCentral Catalonia Chronicity Research Group (C3RG), Centre for Health and Social Care Research (CESS), Faculty of Medicine, University of Vic-Central University of Catalonia (UVIC-UCC), Rambla Hospital 52, 08500, Vic, Barcelona, Spain.
Ramon OllerData Analysis and Modelling Research Group, Department of Economics and Business, University of Vic-Central University of Catalonia (UVIC-UCC), Barcelona, Spain.
Joan Carles MartoriData Analysis and Modelling Research Group, Department of Economics and Business, University of Vic-Central University of Catalonia (UVIC-UCC), Barcelona, Spain.
Joan EspaulellaCentral Catalonia Chronicity Research Group (C3RG), Centre for Health and Social Care Research (CESS), Faculty of Medicine, University of Vic-Central University of Catalonia (UVIC-UCC), Rambla Hospital 52, 08500, Vic, Barcelona, Spain.
Roman Romero-OrtunoDiscipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland.
Universitat de Vic - Universitat Central de Catalunya · ESTrinity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFrailty is a dynamic condition that is clinically expected to change in older individuals during and around admission to an intermediate care (IC) facility. We aimed to characterize transitions between degrees of frailty before, during, and after admission to IC and assess the impact of these transitions on health outcomes.

methodsMulticentre observational prospective study in IC facilities in Catalonia (North-east Spain). The analysis included all individuals aged ≥ 75 years (or younger with chronic complex or advanced diseases) admitted to an IC facility. The primary outcome was frailty, measured by the Frail-VIG index and categorized into four degrees: no frailty, and mild, moderate, and advanced frailty. The Frail-VIG index was measured at baseline (i.e., 30 days before IC admission) (Frail-VIG

resultsThe study included 483 patients with a mean (SD) age of 81.3 (10.2) years. At the time of admission, 27 (5.6%) had no frailty, and 116 (24%), 161 (33.3%), and 179 (37.1%) mild, moderate, and severe frailty, respectively. Most frailty transitions occurred within the 30 days following admission to IC, particularly among patients with moderate frailty on admission. Most patients maintained their frailty status after discharge. Overall, 135 (28%) patients died during IC stay. Frailty, measured either at baseline or admission, was significantly associated with mortality, although it showed a stronger contribution when measured on admission (HR 1.16; 95%CI 1.10-1.22; p < 0.001) compared to baseline (HR 1.10; 1.05-1.15; p < 0.001). When including frailty measurements at the two time points (i.e., baseline and IC admission) in a multivariate model, frailty measured on IC admission but not at baseline significantly contributed to explaining mortality during IC stay.

conclusionsFrailty status varied before and during admission to IC. Of the serial frailty measures we collected, frailty on IC admission was the strongest predictor of mortality. Results from this observational study suggest that routine frailty measurement on IC admission could aid clinical management decisions.

Indexed as

Frail ElderlyFrailtyAftercareAgedGeriatric AssessmentHumansPatient DischargeProspective StudiesFrailtyFrailty transitionsGeriatricsIntermediate careOlder people

Identifiers

PMID36050635
PMCPMC9438217
OpenAlexW4294025891

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.