Evidence map›Paper›PMID 36618551›Full record

ArticleMetabolism open2023

Do diabetes phenotypes in US women differ by race/ethnicity? A population-based cluster analysis.

Daesung Choi, Rebecca Jones-Antwi, Mohammed K Ali, Shivani A Patel

Abstract read
In one paragraph

Article in Metabolism open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Daesung ChoiRollins School of Public Health, Emory University, Atlanta, GA, USA.
Rebecca Jones-AntwiRollins School of Public Health, Emory University, Atlanta, GA, USA.
Mohammed K AliRollins School of Public Health, Emory University, Atlanta, GA, USA.
Shivani A PatelRollins School of Public Health, Emory University, Atlanta, GA, USA.

Funding

Translational Research Core - Engagement and Behavior ChangeP30DK111024 · NIDDK · EMORY UNIVERSITY · PI Mohammed Kumail Ali · 2016 to 2026
$13.4M
Multidisciplinary Research Training to Reduce Inequities in Cardiovascular HealthT32HL130025 · NHLBI · EMORY UNIVERSITY · PI Tené T Lewis, Viola Vaccarino · 2016 to 2026
$6.4M
NHLBI NIH HHS T32 HL130025NIDDK NIH HHS P30 DK111024
6 · The paper itself

Abstract

Objective: US women exhibit racial disparities in the lifetime risk of diabetes and related outcomes. Identifying heterogeneity in clinical presentation may assist with reducing racial disparities in diabetes outcomes. We identified clinical phenotypes of diabetes and examined their racial and ethnic distribution in US women. Research design and methods: We conducted cluster analysis based on five factors in US women with diagnosed diabetes assessed in the National Health and Nutrition Examination Surveys 1999-2018 (n = 825). Multinomial logistic regression analysis was performed to identify racial and ethnic differences in the distribution of phenotypes. Results: We identified four distinct clinical phenotypes. Two phenotypes, mild age-related and severe insulin-deficient diabetes, each included approximately a third of women. Mild insulin-resistant and severe insulin-resistant diabetes phenotypes accounted for 19.9% and 13.7%, respectively. The distribution of clusters did not differ by race and ethnicity. Conclusions: The prevalence of four clinically distinct diabetes phenotypes identified in US women did not differ by race and ethnicity.

Indexed as

Body mass index (BMI)Homeostatic model assessment (HOMA)Insulin resistancePhenotypeRacial differences

Identifiers

PMID36618551
PMCPMC9816965

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.