Evidence map›Paper›PMID 40791623›Full record

ArticleFrontiers in public health2025

Identifying multimorbidity risks in older adults: a cross-sectional study using the RGA screening data.

Jinmyoung Cho, Allison Gibson, Max Zubatsky, Wenjin Wang, Ebow Nketsiah, Angela Sanford, Marla Berg-Weger

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jinmyoung ChoSchool of Medicine, Saint Louis University, St. Louis, MO, United States.
Allison GibsonSchool of Social Work, Saint Louis University, St. Louis, MO, United States.
Max ZubatskySchool of Medicine, Saint Louis University, St. Louis, MO, United States.
Wenjin WangSchool of Medicine, Saint Louis University, St. Louis, MO, United States.
Ebow NketsiahCollege of Social Work & Criminal Justice, Florida Atlantic University, Boca Raton, FL, United States.
Angela SanfordSchool of Medicine, Saint Louis University, St. Louis, MO, United States.
Marla Berg-WegerSchool of Medicine, Saint Louis University, St. Louis, MO, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Approximately one in two older adults in the U.S. experiences multimorbidity, defined as the coexistence of two or more chronic diseases. The consequences of multimorbidity are significant, including increased vulnerability to acute illness, exacerbation of existing conditions, frequent hospitalizations, and elevated medical costs. Identifying the risk factors for multimorbidity in advance can guide healthcare service decision-making and help prevent adverse outcomes. This study examines the presence of multimorbidity (i.e., self-reported as having five or more illnesses) and specific geriatric syndromes in older adults with the Rapid Geriatric Assessment (RGA) tool. The RGA, which includes four geriatric syndromes: frailty, sarcopenia, geriatric anorexia, and cognitive decline, was administered to a total of 16,615 individuals aged 65 years and over across Missouri from 2015 to 2024. Nearly 40% of the participants (37.3%) reported having five or more illnesses. After controlling for demographic characteristics, logistic regression analysis showed that individuals with sarcopenia were over three times more likely to have multimorbidity compared to those without sarcopenia (OR = 3.807; CI: 3.488-4.156,

Indexed as

Geriatric AssessmentMass ScreeningMultimorbidityAgedAged, 80 and overAnorexiaCognitive DysfunctionCross-Sectional StudiesFemaleFrailtyHumansMaleMissouriRisk FactorsSarcopeniageriatric syndromesmultimorbidityolder adultsrapid geriatric assessment (RGA)risk assessment

Identifiers

PMID40791623
PMCPMC12336021

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Registered trials

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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.