Evidence map›Paper›PMID 37012183›Full record

ArticleThe American journal of cardiology2023

Persistence on Novel Cardioprotective Antihyperglycemic Therapies in the United States.

Arash A Nargesi, Callahan Clark, Arya Aminorroaya, Lian Chen, Mengni Liu, Abraham Reddy, Samuel Amodeo, Evangelos K Oikonomou, Marc A Suchard, Darren K McGuire and 3 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  5. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 1 country.

Arash A NargesiHeart and Vascular Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Callahan ClarkOptum Labs, Minnetonka, Minnesota.
Arya AminorroayaCardiovascular Medicine, and.
Lian ChenCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Mengni LiuCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Abraham ReddyOptum Labs, Minnetonka, Minnesota.
Samuel AmodeoOptum Labs, Minnetonka, Minnesota.
Evangelos K OikonomouCardiovascular Medicine, and.
Marc A SuchardDepartment of Biostatistics, Fielding School of Public Health and; Department of Biomathematics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, California.
Darren K McGuireDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas; Cardiology Department, Parkland Health and Hospital Systems, Dallas, Texas.
Zhenqiu LinCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut.
Silvio InzucchiEndocrinology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.
Rohan KheraCardiovascular Medicine, and; Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, Connecticut. Electronic address: rohan.khera@yale.edu.
Yale New Haven Hospital · USOptum (United States) · USBrigham and Women's Hospital · USParkland Health & Hospital System · USUniversity of California, Los Angeles · USYale University · US

Funding

Evaluating and Improving Utilization of Evidence-Based Medical Therapy in Patients with Heart Failure using Automated Tools in the Electronic Health RecordK23HL153775 · NHLBI · YALE UNIVERSITY · PI KHERA, ROHAN · 2021 to 2025
$918k
NHLBI NIH HHS K23 HL153775
6 · The paper itself

Abstract

Selected glucagon-like peptide-1 receptor agonists (GLP-1RAs) and sodium-glucose cotransporter-2 inhibitors (SGLT-2is) have cardioprotective effects in patients with type 2 diabetes mellitus (T2D) and elevated cardiovascular risk. Prescription and consistent use of these medications are essential to realizing their benefits. In a nationwide deidentified United States administrative claims database of adults with T2D, the prescription practices of GLP-1RAs and SGLT-2i were evaluated across guideline-directed co-morbidity indications from 2018 to 2020. The monthly fill rates were assessed for 12 months after the initiation of therapy by calculating the proportion of days with consistent medication use. Of 587,657 subjects with T2D, 80,196 (13.6%) were prescribed GLP-1RAs and 68,149 (11.5%) SGLT-2i from 2018 to 2020, representing 12.9% and 11.6% of patients with indications for each medication, respectively. In new initiators, 1-year fill rate was 52.5% for GLP-1RAs and 52.9% for SGLT-2i, which was higher for patients with commercial insurance than those with Medicare Advantage plans for both GLP-1RAs (59.3% vs 51.0%, p <0.001) and SGLT-2i (63.4% vs 50.3%, p <0.001). After adjusting for co-morbidities, there were higher rates of prescription fills for patients with commercial insurance (odds ratio 1.17, 95% confidence interval 1.06 to 1.29 for GLP-1RAs, and 1.59 [1.42 to 1.77] for SGLT-2i); and higher income (odds ratio 1.09 [1.06 to 1.12] for GLP-1RAs, and 1.06 [1.03 to 1.1] for SGLT-2i). From 2018 to 2020, the use of GLP-1RAs and SGLT-2i remained limited to fewer than 1 in 8 patients with T2D and indications, with 1-year fill rates around 50%. The low and inconsistent use of these medications compromises their longitudinal health outcome benefits in a period of expanding indications for their use.

Indexed as

Diabetes Mellitus, Type 2Sodium-Glucose Transporter 2 InhibitorsAgedGlucagon-Like Peptide-1 Receptor AgonistsHumansHypoglycemic AgentsMedicareUnited StatesGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic AgentsSodium-Glucose Transporter 2 Inhibitors

Identifiers

PMID37012183
PMCPMC11007258
OpenAlexW4362454688

What OpenQuestion holds

Textmetadata
LicenceTDM
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.