Evidence map›Paper›PMID 33252680›Full record

ArticleAge and ageing2021

A comparison of two national frailty scoring systems.

Joe Hollinghurst, Gemma Housley, Alan Watkins, Andrew Clegg, Thomas Gilbert, Simon P Conroy

Open access · bronzeAbstract read
In one paragraph

Article in Age and ageing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  5. Kidney outcomes with SGLT2 inhibitor versus DPP4 inhibitor use in older adults with diabetes.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
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  12. Development of an Electronic Frailty Index for Hospitalized Older Adults in Sweden.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
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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 4 institutions in 1 country.

Joe HollinghurstHealth Data Research UK (HDR-UK), Data Science Building, Swansea University, Swansea SA2 8PP, UK.
Gemma HousleyEast Midlands Academic Science Health Network, Nottingham, UK.
Alan WatkinsHealth Data Research UK (HDR-UK), Data Science Building, Swansea University, Swansea SA2 8PP, UK.
Andrew CleggUniversity of Leeds, Leeds, UK.
Thomas GilbertDepartment Geriatric Medicine, Lyon University Teaching Hospital, Lyon, France.
Simon P ConroyDepartment of Health Sciences, University of Leicester, University Road, Leicester, LE1 7RH.
Health Data Research UK · GBEast Midlands Academic Health Science Network · GBUniversity of Leeds · GBUniversity of Leicester · GB

Funding

British Heart FoundationMedical Research CouncilWellcome Trust
6 · The paper itself

Abstract

backgroundThe electronic Frailty Index (eFI) has been developed in primary care settings. The Hospital Frailty Risk Score (HFRS) was derived using secondary care data.

objectiveCompare the two different tools for identifying frailty in older people admitted to hospital. DESIGN AND

settingRetrospective cohort study using the Secure Anonymised Information Linkage Databank, comprising 126,600 people aged 65+ who were admitted as an emergency to hospital in Wales from January 2013 up until December 2017.

methodsPearson's correlation coefficient and weighted kappa were used to assess the correlation between the tools. Cox and logistic regression were used to estimate hazard ratios (HRs) and odds ratios (ORs). The Concordance statistic and area under the receiver operating curves (AUROC) were estimated to determine discrimination.

resultsPearson's correlation coefficient was 0.26 and the weighted kappa was 0.23. Comparing the highest to the least frail categories in the two scores the HRs for 90-day mortality, 90-day emergency readmission and care home admissions within 1-year using the HFRS were 1.41, 1.69 and 4.15 for the eFI 1.16, 1.63 and 1.47. Similarly, the ORs for inpatient death, length of stay greater than 10 days and readmission within 30-days were 1.44, 2.07 and 1.52 for the HFRS, and 1.21, 1.21 and 1.44 for the eFI. AUROC was determined as having no clinically relevant difference between the tools.

conclusionsThe eFI and HFRS have a low correlation between their scores. The HRs and ORs were higher for the increasing frailty categories for both the HFRS and eFI.

Indexed as

FrailtyAgedFrail ElderlyHospitalizationHumansRetrospective StudiesWalesElectronic Health RecordsFrailtyOlder peoplePrimary careRisk stratificationSecondary care

Identifiers

PMID33252680
PMCPMC8244560
OpenAlexW3110638412

What OpenQuestion holds

Textmetadata
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.