Evidence map›Paper›PMID 27185746›Full record

ArticleHypertension (Dallas, Tex. : 1979)2016

Masked Hypertension and Incident Clinic Hypertension Among Blacks in the Jackson Heart Study.

Marwah Abdalla, John N Booth, Samantha R Seals, Tanya M Spruill, Anthony J Viera, Keith M Diaz, Mario Sims, Paul Muntner, Daichi Shimbo

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 38 citations in OpenAlex.

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  12. Masked Hypertension: Whom and How to Screen?Current hypertension reports · 2019
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Marwah AbdallaFrom the Department of Medicine, Columbia University Medical Center, New York, NY (M.A., K.M.D., D.S.); Department of Epidemiology, University of Alabama at Birmingham (J.N.B., P.M.); Center of Biostatistics and Bioinformatics, Department of Preventive Medicine (S.R.S.) and Department of Medicine (M.S.), University of Mississippi Medical Center, Jackson; Department of Population Health, NYU School of Medicine, NY (T.M.S.); and Hypertension Research Program, Department of Family Medicine, University of North Carolina at Chapel Hill (A.J.V.). ma2947@cumc.columbia.edu.
John N BoothFrom the Department of Medicine, Columbia University Medical Center, New York, NY (M.A., K.M.D., D.S.); Department of Epidemiology, University of Alabama at Birmingham (J.N.B., P.M.); Center of Biostatistics and Bioinformatics, Department of Preventive Medicine (S.R.S.) and Department of Medicine (M.S.), University of Mississippi Medical Center, Jackson; Department of Population Health, NYU School of Medicine, NY (T.M.S.); and Hypertension Research Program, Department of Family Medicine, University of North Carolina at Chapel Hill (A.J.V.).
Samantha R SealsFrom the Department of Medicine, Columbia University Medical Center, New York, NY (M.A., K.M.D., D.S.); Department of Epidemiology, University of Alabama at Birmingham (J.N.B., P.M.); Center of Biostatistics and Bioinformatics, Department of Preventive Medicine (S.R.S.) and Department of Medicine (M.S.), University of Mississippi Medical Center, Jackson; Department of Population Health, NYU School of Medicine, NY (T.M.S.); and Hypertension Research Program, Department of Family Medicine, University of North Carolina at Chapel Hill (A.J.V.).
Tanya M SpruillFrom the Department of Medicine, Columbia University Medical Center, New York, NY (M.A., K.M.D., D.S.); Department of Epidemiology, University of Alabama at Birmingham (J.N.B., P.M.); Center of Biostatistics and Bioinformatics, Department of Preventive Medicine (S.R.S.) and Department of Medicine (M.S.), University of Mississippi Medical Center, Jackson; Department of Population Health, NYU School of Medicine, NY (T.M.S.); and Hypertension Research Program, Department of Family Medicine, University of North Carolina at Chapel Hill (A.J.V.).
Anthony J VieraFrom the Department of Medicine, Columbia University Medical Center, New York, NY (M.A., K.M.D., D.S.); Department of Epidemiology, University of Alabama at Birmingham (J.N.B., P.M.); Center of Biostatistics and Bioinformatics, Department of Preventive Medicine (S.R.S.) and Department of Medicine (M.S.), University of Mississippi Medical Center, Jackson; Department of Population Health, NYU School of Medicine, NY (T.M.S.); and Hypertension Research Program, Department of Family Medicine, University of North Carolina at Chapel Hill (A.J.V.).
Keith M DiazFrom the Department of Medicine, Columbia University Medical Center, New York, NY (M.A., K.M.D., D.S.); Department of Epidemiology, University of Alabama at Birmingham (J.N.B., P.M.); Center of Biostatistics and Bioinformatics, Department of Preventive Medicine (S.R.S.) and Department of Medicine (M.S.), University of Mississippi Medical Center, Jackson; Department of Population Health, NYU School of Medicine, NY (T.M.S.); and Hypertension Research Program, Department of Family Medicine, University of North Carolina at Chapel Hill (A.J.V.).
Mario SimsFrom the Department of Medicine, Columbia University Medical Center, New York, NY (M.A., K.M.D., D.S.); Department of Epidemiology, University of Alabama at Birmingham (J.N.B., P.M.); Center of Biostatistics and Bioinformatics, Department of Preventive Medicine (S.R.S.) and Department of Medicine (M.S.), University of Mississippi Medical Center, Jackson; Department of Population Health, NYU School of Medicine, NY (T.M.S.); and Hypertension Research Program, Department of Family Medicine, University of North Carolina at Chapel Hill (A.J.V.).
Paul MuntnerFrom the Department of Medicine, Columbia University Medical Center, New York, NY (M.A., K.M.D., D.S.); Department of Epidemiology, University of Alabama at Birmingham (J.N.B., P.M.); Center of Biostatistics and Bioinformatics, Department of Preventive Medicine (S.R.S.) and Department of Medicine (M.S.), University of Mississippi Medical Center, Jackson; Department of Population Health, NYU School of Medicine, NY (T.M.S.); and Hypertension Research Program, Department of Family Medicine, University of North Carolina at Chapel Hill (A.J.V.).
Daichi ShimboFrom the Department of Medicine, Columbia University Medical Center, New York, NY (M.A., K.M.D., D.S.); Department of Epidemiology, University of Alabama at Birmingham (J.N.B., P.M.); Center of Biostatistics and Bioinformatics, Department of Preventive Medicine (S.R.S.) and Department of Medicine (M.S.), University of Mississippi Medical Center, Jackson; Department of Population Health, NYU School of Medicine, NY (T.M.S.); and Hypertension Research Program, Department of Family Medicine, University of North Carolina at Chapel Hill (A.J.V.).
New York University · USUniversity of Alabama at Birmingham · USUniversity of Mississippi Medical Center · US

Funding

WORKSITE BLOOD PRESSURE STUDYP01HL047540 · NHLBI · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI SCHWARTZ, JOSEPH E · 1993 to 2014
$27.7M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
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
JACKSON HEART STUDY--EXAM CENTERN01HC095171 · HC · UNIVERSITY OF MISSISSIPPI MEDICAL CENTER · PI JONES, DANIEL W · 1999 to 2001
$4.6M
Midcareer Investigator Award in Patient-Oriented Research in Human HypertensionK24HL125704 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHIMBO, DAICHI · 2015 to 2019
$573k
JACKSON HEART STUDY--TRAINING CENTERN01HC095172 · HC · TOUGALOO COLLEGE · PI SRINIVASAN, ASOKA · 1999 to 2001
$516k
Development of a humanized anti-CD47 antibody for treatment of tissue ischemia.R41HL095172 · NHLBI · VASCULOX, INC. · PI FRAZIER, WILLIAM A · 2009 to 2009
$198k
JACKSON HEART STUDY-N01HC95170N01HC095170 · HC · JACKSON STATE UNIVERSITY · PI TAYLOR, HERMAN ALFRED · 1999 to 2006
$20k
NHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNHLBI NIH HHS K24 HL125704NHLBI NIH HHS N01 HC095170NHLBI NIH HHS N01 HC095171NHLBI NIH HHS N01 HC095172NHLBI NIH HHS P01 HL047540NHLBI NIH HHS R01 HL117323NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

Masked hypertension, defined as nonelevated clinic blood pressure (BP) and elevated out-of-clinic BP may be an intermediary stage in the progression from normotension to hypertension. We examined the associations of out-of-clinic BP and masked hypertension using ambulatory BP monitoring with incident clinic hypertension in the Jackson Heart Study, a prospective cohort of blacks. Analyses included 317 participants with clinic BP <140/90 mm Hg, complete ambulatory BP monitoring, who were not taking antihypertensive medication at baseline in 2000 to 2004. Masked daytime hypertension was defined as mean daytime blood pressure ≥135/85 mm Hg, masked night-time hypertension as mean night-time BP ≥120/70 mm Hg, and masked 24-hour hypertension as mean 24-hour BP ≥130/80 mm Hg. Incident clinic hypertension, assessed at study visits in 2005 to 2008 and 2009 to 2012, was defined as the first visit with clinic systolic/diastolic BP ≥140/90 mm Hg or antihypertensive medication use. During a median follow-up of 8.1 years, there were 187 (59.0%) incident cases of clinic hypertension. Clinic hypertension developed in 79.2% and 42.2% of participants with and without any masked hypertension, 85.7% and 50.4% with and without masked daytime hypertension, 79.9% and 43.7% with and without masked night-time hypertension, and 85.7% and 48.2% with and without masked 24-hour hypertension, respectively. Multivariable-adjusted hazard ratios (95% confidence interval) of incident clinic hypertension for any masked hypertension and masked daytime, night-time, and 24-hour hypertension were 2.13 (1.51-3.02), 1.79 (1.24-2.60), 2.22 (1.58-3.12), and 1.91 (1.32-2.75), respectively. These findings suggest that ambulatory BP monitoring can identify blacks at increased risk for developing clinic hypertension.

Indexed as

AdultAgedAge DistributionBlack or African AmericanBlood Pressure Monitoring, AmbulatoryCircadian RhythmCohort StudiesDisease ProgressionFemaleHumansHypertensionIncidenceMaleMasked HypertensionMiddle AgedPrognosisblacksblood pressurehypertensionmasked hypertension

Identifiers

PMID27185746
PMCPMC4900933
OpenAlexW2404633143

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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.