Evidence map›Paper›PMID 39959517›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2025

Rural-Urban Disparities in the Uptake of New Diabetes Medications.

Benjamin Zhu, Dong Ding, Jing Luo, Sherry Glied

Abstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Benjamin ZhuUniversity of Pittsburgh, Pittsburgh, PA.ORCID https://orcid.org/0000-0003-1840-3564
Dong DingNew York University, New York, NY.
Jing LuoUniversity of Pittsburgh, Pittsburgh, PA.ORCID https://orcid.org/0000-0002-1190-553X
Sherry GliedNew York University, New York, NY.

Funding

Developing a provider-facing intervention to address cost-related medication restrictions and improve medication use in patients with type 2 diabetesK23DK120956 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LUO, JING · 2021 to 2024
$829k
Training in Renal, GI, Endocrine, and Epithelial BiologyT35DK065521 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DEFRANCO, DONALD B, JURCZAK, MICHAEL J. · 2004 to 2024
$811k
NIDDK NIH HHS K23 DK120956NIDDK NIH HHS T35 DK065521
6 · The paper itself

Abstract

objectiveThis study assessed rural-urban differences in the uptake and use of glucagon-like peptide 1 (GLP-1) receptor agonists, dipeptidyl peptidase 4 (DPP-4) inhibitors, and sodium-glucose cotransporter 2 (SGLT2) inhibitors among U.S. adults with diabetes. RESEARCH DESIGN AND

methodsWe calculated person-level annual total and out-of-pocket (OOP) expenditures for new, other, and all diabetes medications in the Medical Expenditure Panel Survey. We defined newer diabetes medications as GLP-1 receptor agonists, DPP-4 inhibitors, and SGLT2 inhibitors. The primary outcome was whether a person received a new diabetes medication during the year, and secondary outcomes were medication expenditures. The key independent variable was metropolitan statistical area (MSA) status. Logistic regression was used to estimate use rates of new diabetes medications by MSA status, and a two-part model was used to estimate individual-level annual total and OOP expenditures on new, other, and all diabetes medications.

resultsWe observed no significant difference (adjusted odds ratio 0.943,

conclusionsRural-urban diabetes outcome disparities are not likely to be the result of differences in the uptake of GLP-1 receptor agonist, DPP-4 inhibitor, and SGLT2 inhibitor medications.

Identifiers

PMID39959517
PMCPMC11825407

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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.