Evidence map›Paper›PMID 37176544›Full record

ArticleJournal of clinical medicine2023

Mortality Risks after Two Years in Frail and Pre-Frail Older Adults Admitted to Hospital.

Guillermo Cano-Escalera, Manuel Graña, Jon Irazusta, Idoia Labayen, Ana Gonzalez-Pinto, Ariadna Besga

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Guillermo Cano-EscaleraDepartment of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), 20018 Donostia-San Sebastian, Spain.
Manuel GrañaDepartment of Computer Science and Artificial Intelligence, University of the Basque Country (UPV/EHU), 20018 Donostia-San Sebastian, Spain.ORCID 0000-0001-7373-4097
Jon IrazustaDepartment of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), 48940 Bilbao, Spain.ORCID 0000-0002-6763-8602
Idoia LabayenInstitute for Innovation & Sustainable Development in Food Chain (IS-FOOD), Public University of Navarra, 31006 Pamplona, Spain.ORCID 0000-0002-4334-3287
Ana Gonzalez-PintoBioAraba, Health Research Institute, Department of Medicine, Hospital Universitario de Araba, 01004 Vitoria, Spain.
Ariadna BesgaBioAraba, Health Research Institute, Department of Medicine, Hospital Universitario de Araba, 01004 Vitoria, Spain.
University of the Basque Country · ESCentro de Investigación Biomédica en Red de Salud Mental · ESUniversidad Publica de Navarra · ES

Funding

Basque Government 2016111138Basque Government IT1689-22Basque Government KK-2021/00070Basque Government KK-2022/00051Ministry of Economy, Industry and Competitiveness PID2020-116346GB-I00
6 · The paper itself

Abstract

backgroundFrailty is characterized by a progressive decline in the physiological functions of multiple body systems that lead to a more vulnerable condition, which is prone to the development of various adverse events, such as falls, hospitalization, and mortality. This study aims to determine whether frailty increases mortality compared to pre-frailty and to identify variables associated with a higher risk of mortality. MATERIALS: Two cohorts, frail and pre-frail subjects, are evaluated according to the Fried phenotype. A complete examination of frailty, cognitive status, comorbidities and pharmacology was carried out at hospital admission and was extracted through electronic health record (EHR). Mortality was evaluated from the EHR.

methodsKaplan-Meier estimates of survival probability functions were calculated at two years censoring time for frail and pre-frail cohorts. The log-rank test assessed significant differences between survival probability functions. Significant variables for frailty (

resultsFrailty is associated with greater mortality at two years censoring time than pre-frailty (log-rank test,

conclusionsFrailty is associated with higher mortality at two years than pre-frailty. Frailty is recognized as a systemic syndrome with many links to older-age comorbidities, which are also found in our study. Polypharmacy is strongly associated with frailty, and several commonly prescribed drugs are strongly associated with increased mortality. It must be considered that frail patients need coordinated attention where the diverse specialist taking care of them jointly examines the interactions between the diversity of treatments prescribed.

Indexed as

frailfrailtyfried frailty scalemortalitypre-frailsurvival

Identifiers

PMID37176544
PMCPMC10179017
OpenAlexW4366988407

What Socratic 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 Socratic graph.