Evidence map›Paper›PMID 27045024›Full record

ArticleHypertension (Dallas, Tex. : 1979)2016

Longitudinal Patterns of Change in Systolic Blood Pressure and Incidence of Cardiovascular Disease: The Atherosclerosis Risk in Communities Study.

Natalia Petruski-Ivleva, Anthony J Viera, Daichi Shimbo, Paul Muntner, Christy L Avery, Andrea L C Schneider, David Couper, Anna Kucharska-Newton

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 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 43 citations in OpenAlex.

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  12. Blood Pressure Trajectory and Its Influencing Factors in Chinese Adults: A Cohort Study with Long-Term Follow-Up.Medical science monitor : international medical journal of experimental and clinical research · 2022
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  13. One-Year Blood Pressure Trajectory After Acute Ischemic Stroke.Journal of the American Heart Association · 2022
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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

8 authors at 2 institutions in 1 country.

Natalia Petruski-IvlevaFrom the Department of Epidemiology (N.P.-I., C.L.A.), Department of Family Medicine and Hypertension Research Program (A.J.V.), Department of Biostatistics (D.C.), and Cecil G. Sheps Center for Health Services Research (A.K.-N.), University of North Carolina, Chapel Hill; Department of Medicine, Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (D.S.); Department of Epidemiology, University of Alabama Birmingham, Birmingham (P.M.); and Departments of Neurology and Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (A.L.C.S.). petruski@email.unc.edu.
Anthony J VieraFrom the Department of Epidemiology (N.P.-I., C.L.A.), Department of Family Medicine and Hypertension Research Program (A.J.V.), Department of Biostatistics (D.C.), and Cecil G. Sheps Center for Health Services Research (A.K.-N.), University of North Carolina, Chapel Hill; Department of Medicine, Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (D.S.); Department of Epidemiology, University of Alabama Birmingham, Birmingham (P.M.); and Departments of Neurology and Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (A.L.C.S.).
Daichi ShimboFrom the Department of Epidemiology (N.P.-I., C.L.A.), Department of Family Medicine and Hypertension Research Program (A.J.V.), Department of Biostatistics (D.C.), and Cecil G. Sheps Center for Health Services Research (A.K.-N.), University of North Carolina, Chapel Hill; Department of Medicine, Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (D.S.); Department of Epidemiology, University of Alabama Birmingham, Birmingham (P.M.); and Departments of Neurology and Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (A.L.C.S.).
Paul MuntnerFrom the Department of Epidemiology (N.P.-I., C.L.A.), Department of Family Medicine and Hypertension Research Program (A.J.V.), Department of Biostatistics (D.C.), and Cecil G. Sheps Center for Health Services Research (A.K.-N.), University of North Carolina, Chapel Hill; Department of Medicine, Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (D.S.); Department of Epidemiology, University of Alabama Birmingham, Birmingham (P.M.); and Departments of Neurology and Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (A.L.C.S.).
Christy L AveryFrom the Department of Epidemiology (N.P.-I., C.L.A.), Department of Family Medicine and Hypertension Research Program (A.J.V.), Department of Biostatistics (D.C.), and Cecil G. Sheps Center for Health Services Research (A.K.-N.), University of North Carolina, Chapel Hill; Department of Medicine, Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (D.S.); Department of Epidemiology, University of Alabama Birmingham, Birmingham (P.M.); and Departments of Neurology and Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (A.L.C.S.).
Andrea L C SchneiderFrom the Department of Epidemiology (N.P.-I., C.L.A.), Department of Family Medicine and Hypertension Research Program (A.J.V.), Department of Biostatistics (D.C.), and Cecil G. Sheps Center for Health Services Research (A.K.-N.), University of North Carolina, Chapel Hill; Department of Medicine, Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (D.S.); Department of Epidemiology, University of Alabama Birmingham, Birmingham (P.M.); and Departments of Neurology and Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (A.L.C.S.).
David CouperFrom the Department of Epidemiology (N.P.-I., C.L.A.), Department of Family Medicine and Hypertension Research Program (A.J.V.), Department of Biostatistics (D.C.), and Cecil G. Sheps Center for Health Services Research (A.K.-N.), University of North Carolina, Chapel Hill; Department of Medicine, Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (D.S.); Department of Epidemiology, University of Alabama Birmingham, Birmingham (P.M.); and Departments of Neurology and Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (A.L.C.S.).
Anna Kucharska-NewtonFrom the Department of Epidemiology (N.P.-I., C.L.A.), Department of Family Medicine and Hypertension Research Program (A.J.V.), Department of Biostatistics (D.C.), and Cecil G. Sheps Center for Health Services Research (A.K.-N.), University of North Carolina, Chapel Hill; Department of Medicine, Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY (D.S.); Department of Epidemiology, University of Alabama Birmingham, Birmingham (P.M.); and Departments of Neurology and Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (A.L.C.S.).
Columbia University Irving Medical Center · USUniversity of Alabama at Birmingham · US

Funding

University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Midcareer Investigator Award in Patient-Oriented Research in Human HypertensionK24HL125704 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHIMBO, DAICHI · 2015 to 2019
$573k
CCSP--FIELD CENTER AND ULTRASOUND READING CENTERN01HC055018 · HC · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI HEISS, GERARDO · 1985 to 2000
$104k
NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS K24 HL125704NHLBI NIH HHS N01 HC055018NHLBI NIH HHS T32 HL007055NICHD NIH HHS P2C HD050924NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

Elevated blood pressure in midlife contributes significantly to the risk of cardiovascular disease. However, patterns of blood pressure increase may differ among individuals and may result in differential risk. Our goal was to examine the contribution of longitudinal patterns of blood pressure change to incidence of heart failure, coronary heart disease, stroke, and cardiovascular disease mortality. Latent class growth models were used to identify patterns of change in blood pressure across 4 clinical examinations (1987-1998) among 9845 Atherosclerosis Risk in Communities (ARIC) cohort participants (mean age, 53.7 [SD 5.7] years). Patterns of change in systolic blood pressure included slowly and steeply increasing, a decreasing and a sustained elevated blood pressure. Changes in diastolic and mid-blood pressure (½ systolic+½ diastolic) were less pronounced. The association of blood pressure pattern group membership with incidence of clinical outcomes was examined in follow-up from the fourth clinical examination (1996-1998) to December 31, 2011, using Poisson regression models adjusted for demographic and metabolic characteristics, and hypertension medication use. A gradient of rates of all events was observed across the identified patterns. Associations were attenuated after adjustment for covariates. Cumulative systolic blood pressure load, rather than the temporal pattern of change in systolic blood pressure itself, plays a role in determining the risk of cardiovascular disease, in particular, of heart failure and cardiovascular disease mortality, independent of blood pressure level measured at one point in time.

Indexed as

Age DistributionBlood Pressure DeterminationCardiovascular DiseasesCoronary Artery DiseaseCross-Sectional StudiesFemaleFollow-Up StudiesHumansHypertensionIncidenceLongitudinal StudiesMaleMiddle AgedRisk AssessmentSex DistributionSurvival Rateblood pressurecardiovascular diseasescoronary diseaseheart failurehypertensionstroke

Identifiers

PMID27045024
PMCPMC4865423
OpenAlexW2330914227

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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.