Evidence map›Paper›PMID 32924633›Full record

ArticleHypertension (Dallas, Tex. : 1979)2020

Underutilization of Treatment for Black Adults With Apparent Treatment-Resistant Hypertension: JHS and the REGARDS Study.

Aisha T Langford, Oluwasegun P Akinyelure, Tony L Moore, George Howard, Yuan-I Min, William B Hillegass, Adam P Bress, Gabriel S Tajeu, Mark Butler, Byron C Jaeger and 6 more

Open access · greenAbstract read
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Blood pressure control in hypertensive patients attending a rural community health centre in Gauteng Province, South Africa: A cross-sectional study.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2022
    Article
  13. Article
  14. Article
  15. Review
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 at 1 institution in 1 country.

Aisha T LangfordFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Oluwasegun P AkinyelureFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Tony L MooreFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
George HowardFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Yuan-I MinFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
William B HillegassFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Adam P BressFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Gabriel S TajeuFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Mark ButlerFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Byron C JaegerFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Yuichiro YanoFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Daichi ShimboFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Gbenga OgedegbeFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
David CalhounFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
John N BoothFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Paul MuntnerFrom the Department of Population Health, NYU School of Medicine (A.T.L., M.B., G.O.).
Jackson Memorial Hospital · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ANANDA BASU · 2013 to 2026
$19.5M
Institutional Career Development CoreKL2TR001874 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GENKINGER, JEANINE M., SHIMBO, DAICHI · 2016 to 2025
$13.6M
Incorporation of a Hypertension Working Group into the Jackson Heart StudyR01HL117323 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LEWIS, CORA E, OGEDEGBE, OLUGBENGA G. · 2013 to 2024
$7.2M
Promoting Academic Workforce Development in Behavioral Medicine and Sleep Disorders ResearchR25HL105444 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Girardin Jean-Louis, Tatjana Rundek · 2010 to 2026
$5.8M
Psychopathology, Disordered Eating, and Impulsivity as Predictors of Outcomes of Bariatric SurgeryR01DK108628 · NIDDK · TEMPLE UNIV OF THE COMMONWEALTH · PI SARWER, DAVID B · 2015 to 2019
$2.1M
Unpacking Dimensions of Patient Preferences Related to Hypertension Management in Black AdultsK01HL135467 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LANGFORD, AISHA TENE · 2018 to 2022
$854k
Genetic ancestry and antihypertensive medication responses in African AmericansK01HL133468 · NHLBI · UNIVERSITY OF UTAH · PI BRESS, ADAM P · 2016 to 2020
$787k
Machine Learning to Reduce Hypertension Treatment Clinical InertiaK01HL151974 · NHLBI · TEMPLE UNIV OF THE COMMONWEALTH · PI TAJEU, GABRIEL S · 2020 to 2024
$739k
The University of Utah Translational Hypertension SymposiumR13HL144012 · NHLBI · UNIVERSITY OF UTAH · PI BRESS, ADAM P · 2018 to 2019
$68k
NCATS NIH HHS KL2 TR001874NHLBI NIH HHS HHSN268201800010INHLBI NIH HHS HHSN268201800011CNHLBI NIH HHS HHSN268201800011INHLBI NIH HHS HHSN268201800012CNHLBI NIH HHS HHSN268201800012INHLBI NIH HHS HHSN268201800014CNHLBI NIH HHS HHSN268201800014INHLBI NIH HHS HHSN268201800015INHLBI NIH HHS K01 HL133468NHLBI NIH HHS K01 HL135467NHLBI NIH HHS K01 HL151974NHLBI NIH HHS L30 HL148987NHLBI NIH HHS R01 HL117323NHLBI NIH HHS R13 HL144012NHLBI NIH HHS R25 HL105444NIDDK NIH HHS P30 DK079626NIDDK NIH HHS R01 DK108628NIMHD NIH HHS HHSN268201800013ININDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

Resistant hypertension, defined as blood pressure levels above goal while taking ≥3 classes of antihypertensive medication or ≥4 classes regardless of blood pressure level, is associated with increased cardiovascular disease risk. The 2018 American Heart Association Scientific Statement on Resistant Hypertension recommends healthy lifestyle habits and thiazide-like diuretics and mineralocorticoid receptor antagonists for adults with resistant hypertension. The term apparent treatment-resistant hypertension (aTRH) is used when pseudoresistance cannot be excluded. We estimated the use of healthy lifestyle factors and recommended antihypertensive medication classes among US Black adults with aTRH. Data were pooled for Black participants in the JHS (Jackson Heart Study) in 2009 to 2013 (n=2496) and the REGARDS study (Reasons for Geographic and Racial Differences in Stroke) in 2013 to 2016 (n=3786). Outcomes included lifestyle factors (not smoking, not consuming alcohol, ≥75 minutes of vigorous-intensity or ≥150 minutes of moderate or vigorous physical activity per week, and body mass index <25 kg/m

Indexed as

AgedAged, 80 and overAntihypertensive AgentsBlack or African AmericanBlood PressureExerciseFemaleHumansHypertensionLife StyleMaleMiddle AgedPatient Acceptance of Health CareAntihypertensive AgentsAfrican continental ancestry groupantihypertensive agentsblood pressurehealth behaviorhypertension

Identifiers

PMID32924633
PMCPMC7685176
OpenAlexW3086109537

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.