ArticleCommunications medicine2024
Mapping multimorbidity progression among 190 diseases.
Article in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The trial behind it
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Who cites it
15 citing papers in PubMed.
- Distinguishing Age-specific Patterns in Comorbidities of Obstructive Sleep Apnea Using Real-World Data.medRxiv : the preprint server for health sciences · 2026Article
- Data-driven identification of hub chains in disease accruals to reduce healthcare utilization and costs.Communications medicine · 2026Article
- Effect of exercise therapy and self-management support on multimorbidity: Secondary analysis of the MOBILIZE trial.Communications medicine · 2026Article
- Multimorbidity and its associations with physical function, fall risk, and hospitalization cost in adults with type 1 diabetes: a cross-sectional study.Frontiers in endocrinology · 2026Article
- Disparities in treatment burden in Peru among people with multiple long-term conditions by geography and healthcare facility: A cross-sectional study.PLOS global public health · 2026Article
- A community-codesigned LLM-powered chatbot for primary care: a randomized controlled trial.Nature health · 2026Article
- Genetic insights into number of long-term conditions and their relationship with lifespan.PloS one · 2026Article
- Predicting atrial fibrillation and flutter using BEHRT and identifying multimorbidity patterns using BERTopic.Frontiers in digital health · 2026Article
- WHF Roadmap for Integrated Care in People Living with - or at Risk of - Cardiovascular Disease and Multiple Long-Term Conditions.Global heart · 2026Review
- Multimorbidity quantification from the perspective of precision management: challenges and strategies.Annals of medicine · 2025Review
- Review of the British Thoracic Society Winter Meeting 2024.BMJ open respiratory research · 2025Article
- Prevalence, combination patterns, and quality of life factors of multimorbidity among older adults in southern China based on the health ecological model.Journal of global health · 2025Article
- Clinically validated graphical approaches identify hepatosplenic multimorbidity in individuals at risk of schistosomiasis.Royal Society open science · 2025Article
- Multimorbidity progression and the heterogeneous impact of healthy ageing risk factors: a multicohort study.BMJ public health · 2025Article
- Identifying Four Developmental Trajectories of Metabolic Syndrome and Their Influencing Factors: A Longitudinal Cohort Study of Railway Employees' Physical Examinations.International journal of endocrinology · 2025Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
backgroundCurrent clustering of multimorbidity based on the frequency of common disease combinations is inadequate. We estimated the causal relationships among prevalent diseases and mapped out the clusters of multimorbidity progression among them.
methodsIn this cohort study, we examined the progression of multimorbidity among 190 diseases among over 500,000 UK Biobank participants over 12.7 years of follow-up. Using a machine learning method for causal inference, we analyzed patterns of how diseases influenced and were influenced by others in females and males. We used clustering analysis and visualization algorithms to identify multimorbidity progress constellations.
resultsWe show the top influential and influenced diseases largely overlap between sexes in chronic diseases, with sex-specific ones tending to be acute diseases. Patterns of diseases that influence and are influenced by other diseases also emerged (clustering significance P
conclusionOur findings could inform the future development of targeted interventions and provide an essential foundation for future studies seeking to improve the prevention and management of multimorbidity.
Identifiers
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Registered trials
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.