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← brief for 2026-09-22 · People & money

Challenges of clustering disease trajectories in people with multiple long-term conditions using data from 7.2 million patients

Article C Peer reviewed Observational

Key takeaways

Researchers looked at health records from 7.2 million people. They grouped patients based on the pattern of their long-term diseases. This helps doctors see which groups are at higher risk for future health problems. The study shows a link between disease patterns and outcomes, but it does not prove that one causes the other.

Who did this work

Thomas Beaney (The George Institute for Global Health) · Jonathan Clarke (Imperial College Healthcare NHS Trust) · Thomas Woodcock (Imperial College London) · Azeem Majeed (Imperial College London) · Mauricio Barahona (Imperial College Healthcare NHS Trust) · Paul Aylin (Imperial College London)

Source

Article · OpenAlex, CKD works · 2026-09-21
https://doi.org/10.1038/s43856-026-01917-8