Evidence map›Paper›PMID 39449925›Full record

ArticleCureus2024

Burden of Diabetes Mellitus in the Medically Underserved Rio Grande Valley.

John M Gaddis, Elias Arellano, Kassandra Pulido, Tyler Torres, Dominic Chau-Zanetti, Natasha Quailes, Andres R Suarez Parraga

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

John M GaddisOrthopedic Surgery, University of Texas Rio Grande Valley School of Medicine, Edinburg, USA.
Elias ArellanoInternal Medicine, University of Texas Rio Grande Valley School of Medicine, Edinburg, USA.
Kassandra PulidoInternal Medicine, University of Texas Rio Grande Valley School of Medicine, Edinburg, USA.
Tyler TorresGeneral Surgery, University of Texas Rio Grande Valley School of Medicine, Edinburg, USA.
Dominic Chau-ZanettiInternal Medicine, University of Texas Rio Grande Valley School of Medicine, Edinburg, USA.
Natasha QuailesInternal Medicine, University of Texas Rio Grande Valley School of Medicine, Edinburg, USA.
Andres R Suarez ParragaInternal Medicine, University of Texas Rio Grande Valley School of Medicine, Edinburg, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Diabetes mellitus (DM) encompasses metabolic disorders characterized by elevated blood sugar. This study aimed to evaluate the prevalence and associated metrics of DM in the Rio Grande Valley (RGV), a low-income and medically underserved region in the United States, and compare these metrics to the national averages from 2012 to 2022. Methods  A retrospective cross-sectional analysis was conducted using publicly accessible data from the Centers for Medicare and Medicaid Services (CMS). Metrics analyzed included DM prevalence, average principal cost, rates of emergency department visits, hospitalizations, screenings, and prevalence of obesity. Data from the RGV counties were compared to national averages using Mann-Whitney U tests, with a p-value of <0.05 considered significant. Results From 2012 to 2022, DM affected patients in the RGV (43.95%) at significantly higher rates than the national average (26.73%) (p < 0.001). Obesity prevalence in the RGV was at higher rates than the national average (24.41% vs. 15.55%, p < 0.01). The screening rates of DM exceeded the national average (10.64% vs. 5.09%, p < 0.001). The average principal cost for patients in the RGV ($1,920.45) to treat DM was significantly greater than the national average principal cost ($859.64) (p < 0.001). The RGV also reported higher rates of ED visits (16.82 vs. 8.82 per 1,000 beneficiaries, p < 0.001) and hospitalizations (7.75 vs. 3.82 per 1,000 beneficiaries, p < 0.001). Conclusion The RGV exhibits significantly higher rates of DM and DM-associated metrics compared to the national averages, highlighting substantial public health disparities.

Indexed as

diabetesmedically underservedobesityprevalencepublic healthrio grande valley

Identifiers

PMID39449925
PMCPMC11500487

What OpenQuestion holds

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LicenceCC BY
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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.