Evidence mapPaperPMID 41495423Full record

ReviewNature reviews. Endocrinology2026

Tailoring interventions to close gaps in diabetes mellitus care.

Alicia Diaz-Thomas, Susanne Cabrera, Rocio I Pereira, Pallavi Iyer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Endocrinology, 2026. 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. Article
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.

Alicia Diaz-ThomasDepartment of Pediatrics, University of Nevada, School of Medicine, Reno, NV, USA. adiazthomas@med.unr.edu.ORCID http://orcid.org/0000-0002-0168-6855
Susanne CabreraDepartment of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.
Rocio I PereiraDepartment of Patient Quality and Safety, Denver Health, Denver, CO, USA.
Pallavi IyerDepartment of Pediatrics, Medical College of Wisconsin, Milwaukee, WI, USA.ORCID http://orcid.org/0000-0001-5154-5455

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is one of the fastest-growing chronic medical conditions worldwide. It disproportionately affects some minoritized populations, including certain racial and ethnic groups, migrant populations, and rural communities. Disparities in diabetes mellitus prevalence, morbidity and mortality in minoritized populations are related to longstanding structural and social inequities and are closely tied to social factors. However, current interventions to improve diabetes mellitus outcomes among people from minoritized populations have primarily focused on trying to change individual behaviour, without sufficiently addressing the root structural barriers that drive disparities. Here, we aim to describe the structural inequities in the diagnosis, management and outcomes of minoritized people with diabetes mellitus and to discuss practical measures that can ensure equitable care for people in minoritized groups who have diabetes mellitus. Using a framework to examine diabetes mellitus disparities, we will consider interventions at system levels, including public health approaches, the endocrine healthcare workforce, care quality standards, access to high-quality care (including advanced technologies) and involvement in research. We will also discuss strategies to address intermediate factors, including food insecurity and literacy, and to improve diabetes mellitus care services among migrant and refugee populations and racial and/or ethnic minority communities.

Indexed as

Diabetes MellitusHealthcare DisparitiesEthnicityHealth Services AccessibilityHumans

Identifiers

PMID41495423

What Socratic 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 Socratic graph.