Evidence map›Paper›PMID 39376067›Full record

ArticleAustralasian journal on ageing2025

Frailty in general medicine patients receiving geriatric medicine liaison services is predictive of adverse outcomes.

Mark Q Thompson, Nur-E-Zannat Fatema, Graeme R Tucker, Ashna Khalid, Yue Huang, Carla R Smyth, Solomon Yu, Renuka Visvanathan

Abstract read
In one paragraph

Article in Australasian journal on ageing, 2025. 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
–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

3 citing papers in PubMed.

  1. Trial
  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

8 authors.

Mark Q ThompsonAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-6420-4294
Nur-E-Zannat FatemaAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
Graeme R TuckerAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
Ashna KhalidAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
Yue HuangAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
Carla R SmythAged and Extended Care Services, The Queen Elizabeth Hospital, Central Adelaide Local Health Network, Adelaide, South Australia, Australia.
Solomon YuAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.
Renuka VisvanathanAdelaide Geriatrics Training and Research with Aged Care (GTRAC) Centre, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.ORCID https://orcid.org/0000-0002-1303-9479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFrailty is in an increasing focus for acute care systems due to its association with adverse health outcomes. The Clinical Frailty Scale (CFS) is a judgement-based frailty assessment tool, which classifies the frailty status of older adults, but more research involving general medicine inpatients is necessary. The objectives of this study were to describe the predictive ability of CFS, administered by geriatric medicine trained nurses, for adverse outcomes including the following: acute unit and total length of stay (LOS), new nursing home (NH) admission, 12-month mortality and readmission within 30-day.

methodsDesign Retrospective study. Participants Patients admitted under general medicine unit and seen by the geriatric medicine liaison team in one general hospital. Main Measure CFS.

resultsOf 394 patients included, 60% were mild-moderately frail, and 21% severely frail. In a multivariable analysis, patients classified as severely frail (CFS 7-9) had significantly high odds of death during admission (OR = 13.64), new NH admission (OR = 34.97) and acute LOS (OR = 1.74), compared to non-frail patients (CFS1-4). Mild-moderately frail (CFS 5-6) patients had significantly higher odds for new NH admission (OR = 4.36), acute unit LOS (OR = 1.49) and total LOS (OR = 1.61) compared to non-frail patients. In a Cox regression multivariable survival analysis, the severely frail had a sixfold significantly higher likelihood (HR = 6.19) of 12-month mortality, and the mild-moderately frail had a doubled likelihood (HR = 2.13), compared to the non-frail.

conclusionsThe CFS has clinical utility for identifying general medicine older inpatients at-risk of various adverse outcomes.

Indexed as

AgingFrail ElderlyFrailtyGeneral PracticeGeriatric AssessmentGeriatricsHealth Services for the AgedPatient Care TeamAgedAged, 80 and overAge FactorsFemaleHospitals, GeneralHumansLength of StayLogistic ModelsAustraliafrailtymedicinemortality

Identifiers

PMID39376067
PMCPMC11752163

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Registered trials

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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.