ArticleJournal of the American Geriatrics Society2022
Emerging approaches to multiple chronic condition assessment.
Article in Journal of the American Geriatrics Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed, 19 citations in OpenAlex.
- Association of multimorbidity with mortality risk in Chinese senior adults: a population-based cohort study.BMC geriatrics · 2026Article
- Health octo tool matches personalized health with rate of aging.Nature communications · 2025Article
- Complex patterns and determinants of regional multiple chronic conditions across the United States.PNAS nexus · 2024Article
- Profile of Caregiving Activities and Association With Physical Health Among Dementia Spousal Caregivers.Innovation in aging · 2024Article
- Impact of medical-nursing combined policy pilot on hospitalization frequency of middle-aged and older patients with chronic diseases: a quasi-experimental study based on China Health and Retirement Longitudinal Study.Frontiers in public health · 2024Article
- Emerging approaches to multiple chronic condition assessment.Journal of the American Geriatrics Society · 2022Article
- Improving the prognostic value of multimorbidity through the integration of selected biomarkers to the comprehensive geriatric assessment: An observational retrospective monocentric study.Frontiers in medicine · 2022Article
- Integrated Care Coordination for Managing Chronic Conditions: Views of Health Staff on the Implementation of a Program Using an Algorithm to Identify People at Higher Risk of Hospitalisation in Sydney, Australia.Global advances in integrative medicine and healthArticle
- Experiences of and reactions to race-based differential treatment with multiple chronic conditions by race: Evidence from the South Carolina behavioral risk factor surveillance systems surveys prior to the COVID-19 pandemic.Journal of multimorbidity and comorbidityArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 7 institutions in 2 countries.
Funding
Abstract
Older adults experience a higher prevalence of multiple chronic conditions (MCCs). Establishing the presence and pattern of MCCs in individuals or populations is important for healthcare delivery, research, and policy. This report describes four emerging approaches and discusses their potential applications for enhancing assessment, treatment, and policy for the aging population. The National Institutes of Health convened a 2-day panel workshop of experts in 2018. Four emerging models were identified by the panel, including classification and regression tree (CART), qualifying comorbidity sets (QCS), the multimorbidity index (MMI), and the application of omics to network medicine. Future research into models of multiple chronic condition assessment may improve understanding of the epidemiology, diagnosis, and treatment of older persons.
Indexed as
Identifiers
What Socratic 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 Socratic graph.