Evidence map›Paper›PMID 39281350›Full record

ArticleAmerican journal of preventive cardiology2024

Gender disparities in utilization of statins for low density lipoprotein management across the spectrum of atherosclerotic cardiovascular disease: Insights from the houston methodist cardiovascular disease learning health system registry.

Izza Shahid, Priyanka Satish, Rakesh Gullapelli, Juan C Nicholas, Zulqarnain Javed, Eleonora Avenatti, Budhaditya Bose, Shiwani Mahajan, Trisha Roy, Garima Sharma and 6 more

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Electronic Health Record Alerts to Improve Lipid Lowering After a Recent Myocardial Infarction.Journal of the American Heart Association · 2026 · on this map
    Observational
  4. Article
  5. 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

16 authors.

Izza ShahidDivision of Cardiovascular Prevention, Houston Methodist Academic Institute, Houston, TX, USA.
Priyanka SatishCenter for Cardiovascular Prevention, Ascension Texas Cardiovascular, Dell School of Medicine, Austin, TX, USA.
Rakesh GullapelliDivision of Cardiovascular Prevention, Houston Methodist Academic Institute, Houston, TX, USA.
Juan C NicholasDivision of Cardiovascular Prevention, Houston Methodist Academic Institute, Houston, TX, USA.
Zulqarnain JavedDivision of Cardiovascular Prevention, Houston Methodist Academic Institute, Houston, TX, USA.
Eleonora AvenattiDepartment of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.
Budhaditya BoseDivision of Cardiovascular Prevention, Houston Methodist Academic Institute, Houston, TX, USA.
Shiwani MahajanDivision of Cardiovascular Medicine, Department of Medicine, Yale School of Medicine, New Haven, CT, USA.
Trisha RoyDepartment of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.
Garima SharmaInova Schar Heart and Vascular, Inova Health System, Falls Church, Virginia, USA.
Fatima RodriguezDivision of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA.
Julia AndrieniPopulation Health and Primary Care, Houston Methodist Hospital, Houston, TX, USA.
Stephen L JonesCenter for Health Data Science and Analytics, Houston Methodist, Houston, TX, United States.
Sadeer Al-KindiDepartment of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA.
Miguel Cainzos-AchiricaDepartment of Cardiology, Hospital del Mar and Hospital del Mar Research Institute, Barcelona, Spain.
Khurram NasirDivision of Cardiovascular Prevention, Houston Methodist Academic Institute, Houston, TX, USA.

Funding

Adherence Determinants in the Health Electronic Record Evaluation of Statins (ADHERES)R01HL168188 · NHLBI · STANFORD UNIVERSITY · PI Fatima Rodriguez · 2024 to 2026
$2.1M
SURPASS: (Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in minority Subgroups)K01HL144607 · NHLBI · STANFORD UNIVERSITY · PI RODRIGUEZ, FATIMA · 2019 to 2023
$856k
NHLBI NIH HHS K01 HL144607NHLBI NIH HHS R01 HL168188
6 · The paper itself

Abstract

Introduction: Lower statin utilization is reported among women compared to men, however large-scale studies evaluating gender disparities in LDL-C management in individuals with ASCVD and its subtypes remain limited, particularly across age and racial/ethnic subgroups. In this study, we address this knowledge gap using data from a large US healthcare system. Methods: All adult patients with established ASCVD in the Houston Methodist Learning Health System Registry during 2016-2022 were included. Statin use and dose were extracted from the database. The association between gender and statin utilization was evaluated using multivariate logistic regression analyses in patients with ASCVD overall, across ASCVD subtypes, and by age, racial/ethnic subgroups, and socioeconomic risk factors. Results: A total of 97,819 patients with prevalent ASCVD were included. Women with ASCVD had lower utilization of any statin (64.3% vs 72.6 %; Conclusion: Significant gender disparities exist in contemporary lipid management among patients with ASCVD, with women being less likely to receive any and high-intensity statin and achieving guideline defined LDL-C goal compared with men across age and racial/ethnic subgroups. These disparities underscore the need to further understand potential socioeconomic drivers of the observed lower statin uptake in women.

Indexed as

ASCVDDisparitiesEquityGenderPreventionStatin

Identifiers

PMID39281350
PMCPMC11402022

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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.