Evidence map›Paper›PMID 31914878›Full record

ArticleJournal of the American Heart Association2020

Development of Predictive Equations for Nocturnal Hypertension and Nondipping Systolic Blood Pressure.

Byron C Jaeger, John N Booth, Mark Butler, Lloyd J Edwards, Cora E Lewis, Donald M Lloyd-Jones, Swati Sakhuja, Joseph E Schwartz, James M Shikany, Daichi Shimbo and 2 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Disparities in Blood Pressure Measurement.Current hypertension reports · 2026
    Review
  4. Article
  5. Article
  6. 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

12 authors at 6 institutions in 1 country.

Byron C JaegerDepartment of Biostatistics University of Alabama at Birmingham AL.
John N BoothDepartment of Epidemiology University of Alabama at Birmingham AL.
Mark ButlerDepartment of Population Health Sciences New York University School of Medicine New York NY.
Lloyd J EdwardsDepartment of Biostatistics University of Alabama at Birmingham AL.
Cora E LewisDepartment of Epidemiology University of Alabama at Birmingham AL.
Donald M Lloyd-JonesDepartment of Preventive Medicine Northwestern University Evanston IL.
Swati SakhujaDepartment of Epidemiology University of Alabama at Birmingham AL.
Joseph E SchwartzDepartment of Psychiatry Stony Brook School of Medicine Stony Brook NY.
James M ShikanyDivision of Preventive Medicine Department of Medicine University of Alabama at Birmingham AL.
Daichi ShimboDepartment of Medicine Columbia University Medical Center New York NY.
Yuichiro YanoDepartment of Community and Family Medicine Duke University Durham NC.
Paul MuntnerDepartment of Epidemiology University of Alabama at Birmingham AL.
University of Alabama at Birmingham · USColumbia University Irving Medical Center · USDuke University · USNew York University · USNorthwestern University · USStony Brook School · US

Funding

WORKSITE BLOOD PRESSURE STUDYP01HL047540 · NHLBI · WEILL MEDICAL COLLEGE OF CORNELL UNIV · PI BURG, MATTHEW M · 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
Psychological stress, and circadian patterns of sodium excretion and blood pressureR01HL137818 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHIMBO, DAICHI · 2018 to 2021
$2.4M
Improving the Detection of Masked Hypertension: Analysis of Pooled Population- and Community-Based StudiesR01HL144773 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MUNTNER, PAUL, VIERA, ANTHONY J · 2019 to 2021
$1.2M
Midcareer Investigator Award in Patient-Oriented Research in Human HypertensionK24HL125704 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHIMBO, DAICHI · 2015 to 2019
$573k
NHLBI NIH HHS HHSN268201300046CNHLBI NIH HHS HHSN268201300047CNHLBI NIH HHS HHSN268201300048CNHLBI NIH HHS HHSN268201300049CNHLBI NIH HHS HHSN268201300050CNHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007INHLBI NIH HHS K24 HL125704NHLBI NIH HHS P01 HL047540NHLBI NIH HHS R01 HL117323NHLBI NIH HHS R01 HL137818NHLBI NIH HHS R01 HL144773NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

Background Nocturnal hypertension, defined by a mean asleep systolic blood pressure (SBP)/diastolic blood pressure (BP) ≥120/70 mm Hg, and nondipping SBP, defined by an awake-to-asleep decline in SBP <10%, are each associated with increased risk for cardiovascular disease. Methods and Results We developed predictive equations to identify adults with a high probability of having nocturnal hypertension or nondipping SBP using data from the CARDIA (Coronary Artery Risk Development in Young Adults) study (n=787), JHS (Jackson Heart Study) (n=1063), IDH (Improving the Detection of Hypertension) study (n=395), and MHT (Masked Hypertension) study (n=772) who underwent 24-hour ambulatory BP monitoring. Participants were randomized to derivation (n=2511) or validation (n=506) data sets. The prevalence rates of nocturnal hypertension and nondipping SBP were 39.7% and 44.9% in the derivation data set, respectively, and 36.6% and 44.5% in the validation data set, respectively. The predictive equation for nocturnal hypertension included age, race/ethnicity, smoking status, neck circumference, height, high-density lipoprotein cholesterol, albumin/creatinine ratio, and clinic SBP and diastolic BP. The predictive equation for nondipping SBP included age, sex, race/ethnicity, waist circumference, height, alcohol use, high-density lipoprotein cholesterol, and albumin/creatinine ratio. Concordance statistics (95% CI) for nocturnal hypertension and nondipping SBP predictive equations in the validation data set were 0.84 (0.80-0.87) and 0.73 (0.69-0.78), respectively. Compared with reference models including antihypertensive medication use and clinic SBP and diastolic BP as predictors, the continuous net reclassification improvement (95% CI) values for the nocturnal hypertension and nondipping SBP predictive equations were 0.52 (0.35-0.69) and 0.51 (0.34-0.69), respectively. Conclusions These predictive equations can direct ambulatory BP monitoring toward adults with high probability of having nocturnal hypertension and nondipping SBP.

Indexed as

Blood PressureBlood Pressure Monitoring, AmbulatoryCircadian RhythmModels, CardiovascularAdultFemaleHeart Disease Risk FactorsHumansHypertensionMaleMiddle AgedPredictive Value of TestsPrevalenceReproducibility of ResultsRisk AssessmentTime Factorsambulatoryblood pressurenocturnal hypertensionnondippingpredictive equationvalidation

Identifiers

PMID31914878
PMCPMC7033845
OpenAlexW3000337429

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.