Evidence map›Paper›PMID 32729106›Full record

ArticleJournal of racial and ethnic health disparities2021

Illuminating Racial Inequity in Diabetes Control: Differences Based on Gender and Geography.

Charles R Senteio, Ayse Akincigil

Abstract read
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In one paragraph

Article in Journal of racial and ethnic health disparities, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 14% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. The Experiences and Attitudes of Rural Black People who Use Drugs.Journal of racial and ethnic health disparities · 2026
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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

2 authors at 1 institution in 1 country.

Charles R SenteioSchool of Communication and Information, Rutgers the State University of New Jersey, New Brunswick, NJ, USA. charles.senteio@rutgers.edu.ORCID https://orcid.org/0000-0002-0254-3127
Ayse AkincigilSchool of Social Work, Rutgers the State University of New Jersey, New Brunswick, NJ, USA.
Rutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to describe racial differences in type 2 diabetes mellitus "diabetes" control among the adults in the USA, and to examine attributes that may exacerbate racial differences. Secondary analyses of data from the National Ambulatory Medical Care Survey (NAMCS) collected in years 2012-2014 in the USA. Study sample was limited to White or African American patients aged 25 or older and living with diabetes (n = 4106). Outcome measure, poor diabetes control, was based on lab values for HbA1c (> 7%). Covariates include demographics, insurance, comorbid conditions, and continuity of care and location (urban vs. rural). Overall, African Americans have 33% higher odds of poor diabetes control compared with Whites. Adjusted probability of poor diabetes control was 48% overall, 65% for African American women and 69% for African Americans living in rural areas. African Americans continue to have poorer diabetes control compared to Whites. This difference is exacerbated for African American women, and for all African Americans living in rural areas. Policy should include concentrated screening and treatment resources for African Americans in rural settings.

Indexed as

Health Status DisparitiesAdultAgedBlack or African AmericanDiabetes Mellitus, Type 2FemaleGeographyHumansMaleMiddle AgedRace FactorsSex DistributionUnited StatesWhite PeopleDiabetesHealth policyHeath equityRural health

Identifiers

PMID32729106
OpenAlexW3046150917

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.