Evidence map›Paper›PMID 39935109›Full record

ArticleEuropean journal of heart failure2025

Comorbidity trajectories before and after the diagnosis of heart failure: A UK Biobank cohort study.

Hugo MacGowan, Oliver I Brown, Michael Drozd, Andrew M N Walker, Marilena Giannoudi, Sam Straw, Maria F Paton, John Gierula, Melanie McGinlay, Kathryn J Griffin and 3 more

Abstract read
In one paragraph

Article in European journal of heart failure, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Hugo MacGowan *Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Oliver I Brown *Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Michael DrozdLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Andrew M N WalkerLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Marilena GiannoudiLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Sam StrawLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Maria F PatonLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
John GierulaLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Melanie McGinlayLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Kathryn J GriffinLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Klaus K WitteLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Mark T KearneyLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Richard M CubbonLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.

Funding

British Heart Foundation RG/F/22/110076
6 · The paper itself

Abstract

aimsHeart failure (HF) is frequently associated with multiple comorbidities. We aimed to define their trajectory of accrual to identify opportunities for disease prevention. METHODS AND

resultsWe identified all participants in the UK Biobank cohort study diagnosed with HF prior to enrolment or during follow-up, who had disease occurrence data available from both primary and secondary care records (n = 9824). We established the time between diagnosis of HF and 16 common comorbidities to determine the rate and sequence of comorbidity accrual in relation to HF. Stratified analyses considered associations with sex and age at diagnosis of HF. In chronological sequence, HF was the median fourth diagnosis for men and women. As the age at HF diagnosis increased, HF came later in the sequence of diseases (median second in under 50 years to fifth in those aged 80-90 years). In all age strata, comorbidities accumulated for over a decade before HF and this accelerated in the years immediately before HF. The median time between comorbidity and HF diagnoses ranged from depression preceding HF by 10.7 years to dementia proceeding HF by 0.7 years; all comorbidities presented earlier in women. Atrial fibrillation/flutter was the commonest disease to immediately precede HF, followed by hypertension, cancer, myocardial infarction and osteoarthritis.

conclusionHeart failure is most often diagnosed in people with established multiple long-term conditions. There is a protracted window of opportunity during which interventions to prevent HF could be applied, often in disease contexts where this is not routine care, such as cancer and osteoarthritis.

Indexed as

Heart FailureAgedAged, 80 and overBiological Specimen BanksCohort StudiesComorbidityFemaleHumansHypertensionMaleMiddle AgedUK BiobankUnited KingdomComorbidityHeart failureMultimorbidityMultiple long‐term conditions

Identifiers

PMID39935109
PMCPMC12765044

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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.