Evidence map›Paper›PMID 34794437›Full record

ArticleBMC medicine2021

Hospitalisation events in people with chronic kidney disease as a component of multimorbidity: parallel cohort studies in research and routine care settings.

Michael K Sullivan, Bhautesh Dinesh Jani, Alex McConnachie, Peter Hanlon, Philip McLoone, Barbara I Nicholl, Juan-Jesus Carrero, Dorothea Nitsch, David McAllister, Frances S Mair and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
3.3field-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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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  5. Preventable Hospitalizations and Kidney Care.Clinical journal of the American Society of Nephrology : CJASN · 2026
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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

11 authors at 3 institutions in 2 countries.

Michael K SullivanInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK. Michael.sullivan@glasgow.ac.uk.ORCID 0000-0002-3800-2330
Bhautesh Dinesh JaniGeneral Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Alex McConnachieRobertson Centre for Biostatistics, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Peter HanlonGeneral Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Philip McLoonePublic Health, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Barbara I NichollGeneral Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Juan-Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Dorothea NitschFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
David McAllisterPublic Health, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Frances S MairGeneral Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Patrick B MarkInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
University of Glasgow · GBKarolinska Institutet · SELondon School of Hygiene & Tropical Medicine · GB

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/S021949/1Medical Research Council MR/V001671/1
6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) typically co-exists with multimorbidity (presence of 2 or more long-term conditions: LTCs). The associations between CKD, multimorbidity and hospitalisation rates are not known. The aim of this study was to examine hospitalisation rates in people with multimorbidity with and without CKD. Amongst people with CKD, the aim was to identify risk factors for hospitalisation.

methodsTwo cohorts were studied in parallel: UK Biobank (a prospective research study: 2006-2020) and Secure Anonymised Information Linkage Databank (SAIL: a routine care database, Wales, UK: 2011-2018). Adults were included if their kidney function was measured at baseline. Nine categories of participants were used: zero LTCs; one, two, three and four or more LTCs excluding CKD; and one, two, three and four or more LTCs including CKD. Emergency hospitalisation events were obtained from linked hospital records.

resultsAmongst 469,339 UK Biobank participants, those without CKD had a median of 1 LTC and those with CKD had a median of 3 LTCs. Amongst 1,620,490 SAIL participants, those without CKD had a median of 1 LTC and those with CKD had a median of 5 LTCs. Compared to those with zero LTCs, participants with four or more LTCs (excluding CKD) had high event rates (rate ratios UK Biobank 4.95 (95% confidence interval 4.82-5.08)/SAIL 3.77 (3.71-3.82)) with higher rates if CKD was one of the LTCs (rate ratios UK Biobank 7.83 (7.42-8.25)/SAIL 9.92 (9.75-10.09)). Amongst people with CKD, risk factors for hospitalisation were advanced CKD, age over 60, multiple cardiometabolic LTCs, combined physical and mental LTCs and complex patterns of multimorbidity (LTCs in three or more body systems).

conclusionsPeople with multimorbidity have high rates of hospitalisation. Importantly, the rates are two to three times higher when CKD is one of the multimorbid conditions. Further research is needed into the mechanism underpinning this to inform strategies to prevent hospitalisation in this very high-risk group.

Indexed as

MultimorbidityRenal Insufficiency, ChronicAdultCohort StudiesHospitalizationHumansProspective StudiesChronic kidney diseaseClinical epidemiologyComorbidityMultimorbidity

Identifiers

PMID34794437
PMCPMC8603496
OpenAlexW3204785624

What OpenQuestion 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 OpenQuestion graph.