ReviewAnnals of medicine2025
Multimorbidity quantification from the perspective of precision management: challenges and strategies.
Review in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGlobal healthcare systems face growing challenges from multimorbidity as populations age rapidly. However, progress in multimorbidity research is limited by the lack of consensus on its definition and measurement. This standardization is a critical prerequisite for identifying high-risk populations, refining interventions, and ensuring consistency in medical research, all of which are essential for precision management in healthcare.
methodsThis paper provides a comprehensive review of recent studies (2011-2024) on multimorbidity and comorbidity, retrieved from databases including Web of Science, PubMed, China National Knowledge Infrastructure (CNKI), and WanFang, using relevant keywords up to September 2024.
conclusionThis paper reviews the definition of multimorbidity, with a particular emphasis on distinguishing it from frailty and disability. In addition, it offers an overview of widely used clinical multimorbidity assessment tools. This paper further examines key challenges in quantifying multimorbidity, focusing on three critical aspects. First, it emphasizes the necessity of developing population-specific quantification models and integrating modifiable risk factors into multimorbidity frameworks, which are crucial for precision management by enabling early intervention and mitigating disease burden. Second, it highlights the analysis of disease interactions to clarify potential mechanisms of disease progression and their association with adverse outcomes. Finally, the seamless integration of multimorbidity quantification with healthcare information systems is essential to optimize personalized management and improve treatment outcomes.
Indexed as
Identifiers
What OpenQuestion holds
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.