Evidence map›Paper›PMID 40981249›Full record

ArticlePharmacy (Basel, Switzerland)2025

Assessing Prescribing Patterns of Nonstatins as Add-on Therapy for Secondary Prevention in a Federally Qualified Health Center.

Sabrina Guerra, Kathryn P Lin, Ahmed S Kenawy, Chanhyun Park, Morgan P Stewart

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sabrina GuerraCollege of Pharmacy, The University of Texas at Austin, Austin, TX 78712, USA.
Kathryn P LinCollege of Pharmacy, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-9402-0111
Ahmed S KenawyCollege of Pharmacy, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-5133-265X
Chanhyun ParkCollege of Pharmacy, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-1081-0950
Morgan P StewartCollege of Pharmacy, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0002-3722-5890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLipid management is a key aspect of secondary atherosclerotic cardiovascular disease (ASCVD) prevention. However, real-world studies show that ~72-88% of patients with ASCVD fail to meet their low-density lipoprotein cholesterol (LDL-C) target. Nonstatin agents are available as add-on therapies that can be utilized when maximally tolerated statins are insufficient to achieve LDL-C goals. This retrospective study aimed to evaluate the current prescribing habits of nonstatins as add-on therapy to statins for secondary ASCVD prevention at a federally qualified health center (FQHC).

methodsPatients were included if they had a history of clinical ASCVD, ≥1 lipid panel obtained during the study period, and were prescribed any intensity statin.

resultsAmong 398 included participants, 11.1% were prescribed nonstatin therapy and 35.9% were meeting a LDL-C target of <70 mg/dL. There was a significant association between being prescribed ezetimibe based on the type of healthcare coverage (

conclusionsOverall, nonstatins were found to be underutilized for LDL-C management in this underserved population. Future initiatives should target ways to optimize nonstatin therapy to optimize secondary ASCVD prevention.

Indexed as

anticholesteremic agentscardiovascular diseasesclinical practice patternsdyslipidemiaLDL cholesterolsecondary prevention

Identifiers

PMID40981249
PMCPMC12452511

What Socratic holds

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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 Socratic graph.