Evidence map›Paper›PMID 41542019›Full record

ArticleClinical kidney journal2026

The electronic frailty index indicates mortality risk in end stage kidney disease patients on haemodialysis: retrospective survival analyses using linked data from two sources.

Samuel D Relton, Jenny Hewison, Zoe Rogers, Usha Appalsawmy, Kuldeep Sohal, John Birkinshaw, John Stoves, Robert West, Andrew Mooney

Abstract read
In one paragraph

Article in Clinical kidney journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Samuel D ReltonLeeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK.
Jenny HewisonLeeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK.
Zoe RogersLeeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK.
Usha AppalsawmyRenal Unit, Leeds Teaching Hospitals NHS Trust , Leeds, UK.
Kuldeep SohalBradford Institute for Health Research, Bradford, UK.
John BirkinshawBradford Institute for Health Research, Bradford, UK.
John StovesRenal Unit, Bradford Royal Infirmary, Bradford, UK.
Robert WestLeeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK.
Andrew MooneyLeeds Institute of Health Sciences, School of Medicine, University of Leeds, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Over the last 30 years, with increasing comorbidity and frailty among people with end-stage kidney disease, there is recognition that dialysis may carry little benefit in some patient groups. We examined the utility of the electronic frailty index (eFI), modelling the survival time of patients starting dialysis at a single renal unit in northern England, hypothesising this would give useful prognostic survival information. Methods: Two datasets describing the same population of patients receiving dialysis over a 226-month period (2000-2019) at a single dialysis unit were used ( Results: The frailty score at dialysis start has a strong effect on subsequent survival time using either the primary care-derived or UK Renal Registry dataset, but there were differences in overall survival and the relation between eFI score and survival between datasets. Conclusions: This represents the first study of eFI utility within tertiary renal care, demonstrating a strong association between frailty measured by eFI and survival time for patients on dialysis. However, significant differences between primary care-derived and UK Renal Registry-derived survival at different frailty scores were demonstrated. These differences indicate a need for greater understanding and analysis of large datasets before using them to discuss patient treatment choices, service planning and delivery.

Indexed as

dialysiseFIelectronic frailty indexsurvival modelling

Identifiers

PMID41542019
PMCPMC12800641

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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.