Evidence map›Paper›PMID 40924688›Full record

ArticlePloS one2025

Age does not improve the predictive ability of the Hospital Frailty Risk Score for length of stay.

Huda Kutrani, Jim Briggs, David Prytherch, Claire Spice

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Huda KutraniCentre for Healthcare Modelling and Informatics, University of Portsmouth, Portsmouth, United Kingdom.ORCID https://orcid.org/0000-0002-0576-876X
Jim BriggsCentre for Healthcare Modelling and Informatics, University of Portsmouth, Portsmouth, United Kingdom.ORCID https://orcid.org/0000-0003-1559-4879
David PrytherchCentre for Healthcare Modelling and Informatics, University of Portsmouth, Portsmouth, United Kingdom.
Claire SpiceQueen Alexandra Hospital, Portsmouth University Hospitals NHS Trust, Portsmouth, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Hospital Frailty Risk Score (HFRS) has been widely used to identify patients at high risk of poor outcomes and to predict poor outcomes for older people. Although poor health outcomes are associated more with frailty than age, HFRS has been validated only for older people. This study aimed to explore for the first time whether age influences the predictive power of Hospital Frailty Risk Score to predict a long length of stay.

methodsA retrospective cohort study analysing data collected at Queen Alexandra Hospital in Portsmouth, UK, between January 1, 2010 and December 31, 2019. Data included people aged ≥16 years. We assessed the correlation between the HFRS and age using Pearson's correlation coefficient. We used logistic regression models to develop prediction models (HFRS alone and HFRS +age) for nine periods of length of stay, in nine age groups data to assess association and influences age on Hospital Frailty Risk Score.

resultsThe correlation between Hospital Frailty Risk Score and age was weak in eight age groups, correlation coefficient ranged from 0.01 to 0.17. In each age groups, the proportion of the intermediate and high risk of frailty increased with a longer length of stay. Adjusted models (HFRS+age) did not show a better discriminative power compared with HFRS alone in all age groups (AUROCs ranging from 0.772 to 0.932). The odds ratio values from HFRS alone models were higher than adjusted models.

conclusionsThis study concluded that in this patients' population, age does not improve the power of Hospital Frailty Risk Score to predict long length of stay.

Indexed as

FrailtyLength of StayAdolescentAdultAgedAged, 80 and overAge FactorsFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsYoung Adult

Identifiers

PMID40924688
PMCPMC12419641

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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.