Evidence map›Paper›PMID 34779654›Full record

ArticleCirculation. Cardiovascular quality and outcomes2021

Patterns of Prescribing Sodium-Glucose Cotransporter-2 Inhibitors for Medicare Beneficiaries in the United States.

Veer Sangha, Kasia Lipska, Zhenqiu Lin, Silvio E Inzucchi, Darren K McGuire, Harlan M Krumholz, Rohan Khera

Open access · greenAbstract read
In one paragraph

Article in Circulation. Cardiovascular quality and outcomes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 48 citations in OpenAlex.

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  15. Prescribing patterns of SGLT-2 inhibitors for patients with heart failure: A two-center analysis.American heart journal plus : cardiology research and practice · 2023
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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

7 authors at 3 institutions in 1 country.

Veer SanghaDepartment of Computer Science, Yale University, New Haven, CT (V.S.).
Kasia LipskaCenter for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT (K.L., Z.L., H.M.K., R.K.).
Zhenqiu LinDepartment of Computer Science, Yale University, New Haven, CT (V.S.).
Silvio E InzucchiSection of Endocrinology and Metabolism (K.L., S.E.I.), Department of Internal Medicine, Yale School of Medicine, New Haven, CT.ORCID 0000-0003-1254-6636
Darren K McGuireDivision of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center and Parkland Health and Hospital System, Dallas (D.K.M.).ORCID 0000-0002-6412-7989
Harlan M KrumholzDepartment of Computer Science, Yale University, New Haven, CT (V.S.).
Rohan KheraDepartment of Computer Science, Yale University, New Haven, CT (V.S.).ORCID 0000-0001-9467-6199
Yale University · USParkland Health & Hospital System · USYale New Haven Hospital · 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

backgroundEvidence from large randomized clinical trials supports the benefit of SGLT2i (sodium-glucose cotransporter-2 inhibitors) to improve cardiovascular and kidney outcomes in patients with type 2 diabetes with or at high risk for atherosclerotic cardiovascular disease or chronic kidney disease. Considering this evidence, which has been expanding since the product label indication for empagliflozin to reduce risk of cardiovascular death in 2016, clinician-level variation in the prescription of SGLT2i among US Medicare beneficiaries was evaluated.

methodsAntihyperglycemic medication prescribers were identified as those physicians and advanced practice providers prescribing metformin in Medicare part D prescriber data. In this cross-sectional study, the proportion prescribing SGLT2i was assessed overall and across specialties in 2018, with changes assessed from 2014 to 2018. SGLT2i use was compared with other second-line antihyperglycemic medication classes, sulfonylureas and DPP4is (dipeptidyl peptidase-4 inhibitors).

resultsAmong 232 523 unique clinicians who prescribed metformin for Medicare beneficiaries in 2018 (diabetes-treating clinicians), 45 255 (19.5%) prescribed SGLT2i. There was substantial variation across specialties-from 72% of endocrinologists to 14% of cardiologists who prescribed metformin also prescribed SGLT2i. Between 2014 and 2018, the number prescribing SGLT2i increased 5-fold from 9048 in 2014 to 45 255 in 2018. Among clinicians who prescribed both sulfonylureas and SGLT2i in 2018, SGLT2i was prescribed to a median 33 beneficiaries for every 100 prescribed sulfonylureas (interquartile range, 18-67). SGLT2i use relative to sulfonylureas increased from 19 (interquartile range, 11-34) per 100 in 2014 to 33 (interquartile range, 18-67) per 100 in 2018 (

conclusionsEighty percent of clinicians prescribing metformin to Medicare beneficiaries did not prescribe SGLT2i in 2018. Moreover, sulfonylureas prescriptions were 3 times more frequent than those of SGLT2is, although a pattern of increasing uptake may portend future trends. These findings highlight a baseline opportunity to improve care and outcomes for patients with type 2 diabetes.

Indexed as

Diabetes Mellitus, Type 2Sodium-Glucose Transporter 2 InhibitorsAgedCross-Sectional StudiesGlucoseHumansHypoglycemic AgentsMedicareSodiumUnited StatesGlucoseHypoglycemic AgentsSodiumSodium-Glucose Transporter 2 Inhibitorscardiovascular diseasesclinical trialMedicaremetforminsodium-glucose cotransporter-2 inhibitor

Identifiers

PMID34779654
PMCPMC9022137
OpenAlexW3211752197

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.