Evidence map›Paper›PMID 36320059›Full record

ArticleBMC medicine2022

The presence and impact of multimorbidity clusters on adverse outcomes across the spectrum of kidney function.

Michael K Sullivan, Juan-Jesus Carrero, Bhautesh Dinesh Jani, Craig Anderson, Alex McConnachie, Peter Hanlon, Dorothea Nitsch, David A McAllister, Frances S Mair, Patrick B Mark and 1 more

Abstract read
In one paragraph

Article in BMC medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. The kidney failure risk equation in people with CKD and multimorbidity: the effect of competing mortality risks.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
    Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Observational
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  11. Review
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.

Michael K SullivanBHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK. Michael.sullivan@glasgow.ac.uk.ORCID 0000-0002-3800-2330
Juan-Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Bhautesh Dinesh JaniGeneral Practice and Primary Care, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Craig AndersonSchool of Mathematics and Statistics, 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.
Dorothea NitschFaculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
David A 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 Mark *BHF Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Medical Sciences, University of Glasgow, 126 University Place, Glasgow, G12 8TA, UK.
Alessandro Gasparini *Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.

Funding

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

Abstract

backgroundMultimorbidity (the presence of two or more chronic conditions) is common amongst people with chronic kidney disease, but it is unclear which conditions cluster together and if this changes as kidney function declines. We explored which clusters of conditions are associated with different estimated glomerular filtration rates (eGFRs) and studied associations between these clusters and adverse outcomes.

methodsTwo population-based cohort studies were used: the Stockholm Creatinine Measurements project (SCREAM, Sweden, 2006-2018) and the Secure Anonymised Information Linkage Databank (SAIL, Wales, 2006-2021). We studied participants in SCREAM (404,681 adults) and SAIL (533,362) whose eGFR declined lower than thresholds (90, 75, 60, 45, 30 and 15 mL/min/1.73m

resultsChronic conditions became more common and clustered differently across lower eGFR categories. At eGFR 90, 75, and 60 mL/min/1.73m

conclusionsPatterns of multimorbidity and corresponding risk of adverse outcomes varied with declining eGFR. While diabetes and cardiovascular disease are known high-risk conditions, chronic pain and depression emerged as important conditions and associated with adverse outcomes when combined with physical conditions.

Indexed as

Atrial FibrillationChronic PainHeart FailureRenal Insufficiency, ChronicAdultGlomerular Filtration RateHumansKidneyMultimorbidityChronic conditionsChronic kidney diseaseClustering analysisMultimorbidity

Identifiers

PMID36320059
PMCPMC9623942

What OpenQuestion holds

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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.