Evidence map›Paper›PMID 40259567›Full record

ArticleAmerican journal of hypertension2025

Disparities in Initial Antihypertensive Intensity by Sex, Race and Ethnicity in Newly Treated Patients With Hypertension.

Shailina Keshwani, Kayla M Smith, Almut G Winterstein, Matthew J Gurka, Marta G Walsh, Anne Libby, William Hogan, Carl J Pepine, Rhonda M Cooper-DeHoff, Steven M Smith

Abstract readComparative Study
In one paragraph

Article in American journal of hypertension, 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

10 authors.

Shailina KeshwaniDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-9961-2511
Kayla M SmithDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Almut G WintersteinDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-6518-5961
Matthew J GurkaDepartment of Public Health Sciences, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.
Marta G WalshDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Anne LibbyDepartment of Emergency Medicine, School of Medicine, University of Colorado Denver, Aurora, Colorado, USA.
William HoganData Science Institute, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Carl J PepineDivision of Cardiovascular Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA.
Rhonda M Cooper-DeHoffDivision of Cardiovascular Medicine, Department of Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA.
Steven M SmithDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-0201-839X

Funding

Advancing Personalized Hypertension Care through Big Data ScienceK01HL138172 · NHLBI · UNIVERSITY OF FLORIDA · PI SMITH, STEVEN MICHAEL · 2018 to 2022
$726k
NHLBI NIH HHS K01 HL138172
6 · The paper itself

Abstract

backgroundSex, race, and ethnicity disparities in hypertension (HTN) treatment intensity have been previously described. It remains unclear if these disparities occur at treatment onset and whether they can be explained by differences in clinical factors.

methodsWe conducted a retrospective cross-sectional study of adults with newly treated HTN using linked EHR + claims data from OneFlorida + Consortium. We included Florida Medicaid & Medicare-recipients diagnosed with HTN and prescribed ≥ 1 first-line antihypertensive during 2013-2020. We used generalized linear models to estimate differences in total therapeutic intensity score (TTIS)-a patient's total daily dose (TDD) divided by recommended maximum TDD for a drug, summed across entire regimen-by sex, race, and ethnicity. We then modeled the same, controlling for demographics, blood pressure, and relevant comorbidities.

resultsIn total 4,094 patients (mean age 58 ± 16; female 57.6%; White 56.7%) were included. We observed variations in the initiation of antihypertensive classes by sex, race and ethnicity. In univariate analyses, men averaged 7.6% (95% CI: 3.9%-11.3%) greater TTIS versus women and Black individuals averaged 10.5% (95% CI: 6.6%-14.3%) greater TTIS versus White individuals, whereas no disparities were observed by ethnicity. After adjusting for clinical factors, these disparities persisted: men had 7.6% (95% CI: 3.9%-11.4%) greater TTIS versus women, and Black individuals had 17.9% (95% CI: 13.8%-21.9%) greater TTIS versus White individuals.

conclusionsWe observed disparities in treatment intensity by sex and race that were not explained by differences in clinical factors. There was sex-based variation in practice patterns, and Black individuals received more intensive initial antihypertensive therapy than White individuals.

Indexed as

Antihypertensive AgentsBlood PressureHealthcare DisparitiesHypertensionPractice Patterns, Physicians'AdultAgedBlack or African AmericanCross-Sectional StudiesFemaleFloridaHumansMaleMiddle AgedRace FactorsRetrospective StudiesAntihypertensive Agentsblood pressureEHR-linked claims datahealth disparityhypertensionreal-world datatherapeutic intensity

Identifiers

PMID40259567
PMCPMC13010547

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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.