Multimorbidity Patterns in the Elderly: A New Approach of Disease Clustering Identifies Complex Interrelations between Chronic Conditions
Ingmar Schäfer; Eike-Christin von Leitner; Gerhard Schön; Daniela Koller; Heike Hansen; Tina Kolonko; Hanna Kaduszkiewicz; Karl Wegscheider · 2010 · PLoS ONE
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
OBJECTIVE: Multimorbidity is a common problem in the elderly that is significantly associated with higher mortality, increased disability and functional decline. Information about interactions of chronic diseases can help to facilitate diagnosis, amend prevention and enhance the patients' quality of life. The aim of this study was to increase the knowledge of specific processes of multimorbidity in an unselected elderly population by identifying patterns of statistically significantly associated comorbidity. METHODS: Multimorbidity patterns were identified by exploratory tetrachoric factor ana
Abstract by Ingmar Schäfer; Eike-Christin von Leitner; Gerhard Schön; Daniela Koller; Heike Hansen; Tina Kolonko; Hanna Kaduszkiewicz; Karl Wegscheider, PLoS ONE (2010) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1371/journal.pone.0015941