Evidence map›Paper›PMID 39602121›Full record

ArticleJAMA network open2024

Prescription Fills Among Patients With Type 2 Diabetes After Hospitalization for Acute Coronary Syndrome.

Michelle D Kelsey, Cassie Ford, Megan Oakes, Samir Soneji, Hayden B Bosworth, Neha J Pagidipati

Abstract read
In one paragraph

Article in JAMA network open, 2024. 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

6 authors.

Michelle D KelseyDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina.
Cassie FordDepartment of Population Health Sciences, Duke University, Durham, North Carolina.
Megan OakesDepartment of Population Health Sciences, Duke University, Durham, North Carolina.
Samir SonejiDepartment of Population Health Sciences, Duke University, Durham, North Carolina.
Hayden B BosworthDuke Clinical Research Institute, Durham, North Carolina.
Neha J PagidipatiDivision of Cardiology, Department of Medicine, Duke University, Durham, North Carolina.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Individuals with type 2 diabetes (T2D) have high rates of mortality following myocardial infarction (MI). Hospitalization is an opportunity to initiate or continue evidence-based treatment to reduce risk in individuals with T2D and acute coronary syndrome (ACS). Objective: To determine patterns of evidence-based medication use during the period of transition from admission to discharge after hospitalization for MI or coronary revascularization among individuals with T2D and ACS. Design, Setting, and Participants: This retrospective cohort study used data from the Centers for Medicare & Medicaid Services (CMS) for January 1, 2018, to June 30, 2020. Medicare beneficiaries older than 18 years with T2D with a qualifying hospitalization were included. Individuals were followed before admission (90 days prior), at discharge (≤90 days), and after discharge (91-180 days after) from a hospitalization for MI or coronary revascularization. Data analysis was performed in June 2023. Exposures: Demographic data (race, sex, rural vs urban location of care, and comorbidities) were abstracted from CMS data using Master Beneficiary and Summary Files and International Statistical Classification of Diseases, Tenth Revision codes. Main Outcome and Measures: Medicare Part D prescription fill records were examined for the following agents: (1) angiotensin-converting enzyme inhibitors (ACEIs), angiotensin receptor blockers (ARBs), or angiotensin receptor-neprilysin inhibitors (ARNIs); (2) β-blockers; (3) platelet adenosine diphosphate receptor inhibitors (P2Y12Is); (4) statins or proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9Is); and (5) glucagon-like peptide 1 receptor agonists (GLP-1RAs) or sodium glucose cotransporter 2 inhibitors (SGLT2Is). Logistic regression analysis was used to examine the association between covariates and lack of prescription fills in the postdischarge period. Results: A total of 188 651 eligible Medicare beneficiaries with T2D and hospitalization for MI or coronary revascularization were identified. Their median age was 73.0 (IQR, 67.0-79.0) years, and more than half (111 982 [59.4%]) were men; 18 383 (9.7%) were Black and 153 461 (81.3%) were White. Not filling a cardiovascular medication after hospitalization was associated with not filling that medication at the time of discharge (adjusted risk ratio, 0.27 [95% CI, 0.27-0.28] for ACEIs, ARBs, or ARNIs; 0.24 [0.24-0.25] for β-blockers; 0.20 [0.19-0.20] for P2Y12Is; 0.31 [0.31-0.32] for statins or PCSK9Is; and 0.27 [0.26-0.28] for SGLT2Is or GLP-1RAs). Conclusions and Relevance: In this cohort study of Medicare beneficiaries with T2D, longer-term medication use following hospitalization for MI was associated with medication use at the time of discharge. These findings highlight the critical importance of this period to optimize preventive care for these high-risk individuals. Further implementation science research is needed to develop strategies to improve use of these evidence-based medications.

Indexed as

Acute Coronary SyndromeDiabetes Mellitus, Type 2HospitalizationAgedAged, 80 and overAngiotensin-Converting Enzyme InhibitorsDrug MonitoringDrug PrescriptionsFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMedicareMiddle AgedMyocardial InfarctionMyocardial RevascularizationAngiotensin-Converting Enzyme InhibitorsHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID39602121
PMCPMC12520711

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Registered trials

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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.