Evidence map›Paper›PMID 41272128›Full record

ArticleScientific reports2025

Multimorbidity, disease clusters and risk of all-cause and cause-specific mortality: a population-based prospective cohort study.

Thomas J Littlejohns, Wenyu Liu, Catherine M Calvin, Lei Clifton, Jennifer A Collister, Elżbieta Kuźma, David J Hunter

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

7 authors.

Thomas J LittlejohnsNuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK. thomas.littlejohns@ndph.ox.ac.uk.
Wenyu LiuNuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK. wenyu.liu@ndph.ox.ac.uk.
Catherine M CalvinNuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Lei CliftonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, OX2 6GG, UK.
Jennifer A CollisterNuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
Elżbieta KuźmaAlberinen Krankenhaus/Albertinen Haus gGmbH, Academic Teaching Hospital of the Faculty of Medicine of the University of Hamburg, 22457, Hamburg, Germany.
David J HunterNuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.

Funding

Cancer Research UK C16077/A29186
6 · The paper itself

Abstract

The number of people living with ≥ two health conditions, termed multimorbidity, is increasing. We investigated the impact of multimorbidity on all-cause and cause-specific mortality risk in 502,370 UK Biobank participants aged 40 to 70 years. Participants attended an assessment centre between 2006 and 2010 and self-reported medical conditions during a nurse-led verbal interview. The presence of ≥ 2 long-term conditions from a preselected list of 43 conditions was used to define multimorbidity. In a training sample (80% of participants with multimorbidity), disease clusters were identified in four groups: women aged (1) 40-59 or (2) 60-70, and men aged (3) 40-59 or (4) 60-70. Mortality was ascertained from linkage to death records. Multivariate Cox proportional-hazards regression models were used to assess the association between multimorbidity and mortality adjusted for age, sex, ethnicity, socioeconomic status and education. Over a 16-year follow-up period (median = 13 years) dose-response associations were observed between number of multimorbid conditions and risk of all-cause mortality (n = 44,399 deaths), and particularly strong dose-response associations with cause-specific deaths due to cardiovascular and respiratory conditions. For women, a mental health/cancer/pain-related conditions cluster at ages 40-59 (Hazard Ratio [HR] = 2.61, 95% Confidence Interval [CI] 2.33-2.93), and a respiratory and pain-related conditions cluster at ages 60-70 (HR = 2.03, 95% CI 1.0-2.17), were associated with the greatest risk of mortality. For men, clusters of cardiometabolic conditions at ages 40-59 (HR = 3.43, 95% CI 3.14-3.74) and 60-70 (HR = 2.24, 95% CI 2.13-2.35) were associated with greater mortality risk. These findings suggest that understanding the impact of multimorbidity, and especially clusters of disease, is important for tailoring healthcare approaches for mortality risk reduction.

Indexed as

MultimorbidityAdultAgedCause of DeathFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsUnited Kingdom

Identifiers

PMID41272128
PMCPMC12638925

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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.