Evidence map›Paper›PMID 35690677›Full record

ArticleScientific reports2022

Multimorbidity patterns across race/ethnicity as stratified by age and obesity.

Manal Alshakhs, Bianca Jackson, Davina Ikponmwosa, Rebecca Reynolds, Charisse Madlock-Brown

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
–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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  6. Comorbidities among American Indian and Alaska Native People with Cancer: A Surveillance, Epidemiology, and End Results-Medicare Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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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

5 authors.

Manal AlshakhsHealth Outcomes and Policy Program, University of Tennessee Health Science Center, Memphis, TN, USA.
Bianca JacksonHealth Outcomes and Policy Program, University of Tennessee Health Science Center, Memphis, TN, USA.
Davina IkponmwosaHealth Outcomes and Policy Program, University of Tennessee Health Science Center, Memphis, TN, USA.
Rebecca ReynoldsHealth Outcomes and Policy Program, University of Tennessee Health Science Center, Memphis, TN, USA.
Charisse Madlock-BrownHealth Outcomes and Policy Program, University of Tennessee Health Science Center, Memphis, TN, USA. cmadlock@uthsc.edu.

Funding

Data-Driven Identification of Costly Multi-Morbidity Groupings and their ProgressionR15AG067232 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI MADLOCK-BROWN, CHARISSE RENEE · 2020 to 2020
$435k
NIA NIH HHS R15 AG067232NIA NIH HHS R15AG067232
6 · The paper itself

Abstract

The objective of our study is to assess differences in prevalence of multimorbidity by race/ethnicity. We applied the FP-growth algorithm on middle-aged and elderly cohorts stratified by race/ethnicity, age, and obesity level. We used 2016-2017 data from the Cerner HealthFacts electronic health record data warehouse. We identified disease combinations that are shared by all races/ethnicities, those shared by some, and those that are unique to one group for each age/obesity level. Our findings demonstrate that even after stratifying by age and obesity, there are differences in multimorbidity prevalence across races/ethnicities. There are multimorbidity combinations distinct to some racial groups-many of which are understudied. Some multimorbidities are shared by some but not all races/ethnicities. African Americans presented with the most distinct multimorbidities at an earlier age. The identification of prevalent multimorbidity combinations amongst subpopulations provides information specific to their unique clinical needs.

Indexed as

EthnicityMultimorbidityAgedBlack or African AmericanHumansMiddle AgedObesityPrevalenceRacial Groups

Identifiers

PMID35690677
PMCPMC9188579

What OpenQuestion holds

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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.