Evidence map›Paper›PMID 35039409›Full record

Observational studyJournal of the American Board of Family Medicine : JABFM

Differences in Hypertension Medication Prescribing for Black Americans and Their Association with Hypertension Outcomes.

Hunter K Holt, Ginny Gildengorin, Leah Karliner, Valy Fontil, Rajiv Pramanik, Michael B Potter

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Board of Family Medicine : JABFM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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  14. Can We Treat Racism with Baby Aspirin?Current opinion in gynecology and obstetrics · 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

6 authors at 3 institutions in 1 country.

Hunter K HoltFrom the Department of Family and Community Medicine at the University of Illinois at Chicago (HKH); Department of Family and Community Medicine, University of California San Francisco (MBP); Division of General Internal Medicine, Department of Medicine, University of California San Francisco (GG, LK, VF); Multiethnic Health Equity Research Center, University of California San Francisco (LK, VF); UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA (VF); Contra Costa Health Services, San Francisco, CA (RP).
Ginny GildengorinFrom the Department of Family and Community Medicine at the University of Illinois at Chicago (HKH); Department of Family and Community Medicine, University of California San Francisco (MBP); Division of General Internal Medicine, Department of Medicine, University of California San Francisco (GG, LK, VF); Multiethnic Health Equity Research Center, University of California San Francisco (LK, VF); UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA (VF); Contra Costa Health Services, San Francisco, CA (RP).
Leah KarlinerFrom the Department of Family and Community Medicine at the University of Illinois at Chicago (HKH); Department of Family and Community Medicine, University of California San Francisco (MBP); Division of General Internal Medicine, Department of Medicine, University of California San Francisco (GG, LK, VF); Multiethnic Health Equity Research Center, University of California San Francisco (LK, VF); UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA (VF); Contra Costa Health Services, San Francisco, CA (RP).
Valy FontilFrom the Department of Family and Community Medicine at the University of Illinois at Chicago (HKH); Department of Family and Community Medicine, University of California San Francisco (MBP); Division of General Internal Medicine, Department of Medicine, University of California San Francisco (GG, LK, VF); Multiethnic Health Equity Research Center, University of California San Francisco (LK, VF); UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA (VF); Contra Costa Health Services, San Francisco, CA (RP).
Rajiv PramanikFrom the Department of Family and Community Medicine at the University of Illinois at Chicago (HKH); Department of Family and Community Medicine, University of California San Francisco (MBP); Division of General Internal Medicine, Department of Medicine, University of California San Francisco (GG, LK, VF); Multiethnic Health Equity Research Center, University of California San Francisco (LK, VF); UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA (VF); Contra Costa Health Services, San Francisco, CA (RP).
Michael B PotterFrom the Department of Family and Community Medicine at the University of Illinois at Chicago (HKH); Department of Family and Community Medicine, University of California San Francisco (MBP); Division of General Internal Medicine, Department of Medicine, University of California San Francisco (GG, LK, VF); Multiethnic Health Equity Research Center, University of California San Francisco (LK, VF); UCSF Center for Vulnerable Populations at Zuckerberg San Francisco General Hospital, San Francisco, CA (VF); Contra Costa Health Services, San Francisco, CA (RP). michael.potter@ucsf.edu.
San Francisco General Hospital · USUniversity of California, San Francisco · USUniversity of Illinois Chicago · US

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
CTSA Coordinating Center for Leading Innovation and Collaboration (CLIC)U24TR002260 · NCATS · UNIVERSITY OF ROCHESTER · PI OSSIP, DEBORAH J, ZAND, MARTIN S · 2017 to 2021
$19.0M
NCATS NIH HHS U24 TR002260NCATS NIH HHS UL1 TR001872
6 · The paper itself

Abstract

backgroundNational guidelines recommend different pharmacologic management of hypertension (HTN) without comorbidities for Black/African Americans (BAA) compared with non-BAA. We sought to 1) identify if these recommendations have influenced prescription patterns in BAA and 2) identify the differences in uncontrolled HTN in BAA on different antihypertensive medications.

methodsWe constructed a linked retrospective observational cohort using 2 years of electronic health records data, comprising of patients aged 18 to 85 with HTN on 1- or 2-drug regimens, including angiotensin-converting enzyme inhibitors (ACE), angiotensin receptor blockers (ARB), thiazide diuretics, or calcium channel blockers (CCB). We examined prescribing differences and HTN control in BAA versus non-BAA.

resultsAmong 10,875 patients identified, 20.6% were identified as BAA. 46.4% of BAA had uncontrolled HTN (≥140/90 mmHg) compared with 39.0% of non-BAA (

conclusionsProviders seem to be following race-based guidelines for HTN, yet HTN control for BAA remains worse than non-BAA. An individualized approach to HTN therapy for all patients may be more important than race-based guidelines.

Indexed as

Angiotensin Receptor AntagonistsHypertensionAdolescentAdultAgedAged, 80 and overAngiotensin-Converting Enzyme InhibitorsAntihypertensive AgentsBlack or African AmericanCalcium Channel BlockersHumansMiddle AgedRetrospective StudiesYoung AdultAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsAntihypertensive AgentsCalcium Channel BlockersHealth EquityHypertensionPrecision MedicinePrescriptionsPrimary Health CareRetrospective Studies

Identifiers

PMID35039409
PMCPMC12862897
OpenAlexW4206761073

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.