Evidence map›Paper›PMID 24496536›Full record

ArticleJAMA2014

Blood pressure trajectories in early adulthood and subclinical atherosclerosis in middle age.

Norrina B Allen, Juned Siddique, John T Wilkins, Christina Shay, Cora E Lewis, David C Goff, David R Jacobs, Kiang Liu, Donald Lloyd-Jones

Erratum issuedAbstract read
In one paragraph

Article in JAMA, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 213 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
213citing papers in PubMed, 3 pooled it
14.4field-weighted citation impact, top 1% 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

213 citing papers in PubMed, 3 syntheses or guidelines pooled it, 337 citations in OpenAlex.

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  7. Low birthweight in second children after nurse home visiting.Journal of perinatology : official journal of the California Perinatal Association · 2018
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153 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Norrina B AllenDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Juned SiddiqueDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
John T WilkinsDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Christina ShayCollege of Public Health, University of Oklahoma, Oklahoma City.
Cora E LewisDivision of Preventive Medicine, Department of Medicine, University of Alabama at Birmingham.
David C GoffColorado School of Public Health, University of Colorado, Aurora.
David R JacobsDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis.
Kiang LiuDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Donald Lloyd-JonesDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Northwestern University · USMinnesota Department of Health · USUniversity of Alabama at Birmingham · USUniversity of Colorado Anschutz Medical Campus · USUniversity of Oklahoma · US

Funding

University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2013 to 2026
$19.5M
Multidisciplinary Clinical and Translational Science (MCTS) Program (UL1)UL1TR000150 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LLOYD-JONES, DONALD M · 2012 to 2013
$10.1M
Longitudinal Changes in Pericardial Adiposity and Subclinical AtherosclerosisR01HL098445 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CARR, JOHN JEFFREY · 2010 to 2013
$4.6M
Real Time Analysis of Diet and Activity DataK07CA154862 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SIDDIQUE, JUNED · 2011 to 2015
$585k
Intramural NIH HHSNCI NIH HHS K07 CA154862NHLBI NIH HHS HHSN268200900041CNHLBI NIH HHS HHSN268201300025CNHLBI NIH HHS HHSN268201300026CNHLBI NIH HHS HHSN268201300027CNHLBI NIH HHS HHSN268201300028CNHLBI NIH HHS HHSN268201300029CNHLBI NIH HHS R01 HL098445NIA NIH HHS AG0005NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

importanceSingle measures of blood pressure (BP) levels are associated with the development of atherosclerosis; however, long-term patterns in BP and their effect on cardiovascular disease risk are poorly characterized.

objectivesTo identify common BP trajectories throughout early adulthood and to determine their association with presence of coronary artery calcification (CAC) during middle age. DESIGN, SETTING, AND

participantsProspective cohort data from 4681 participants in the CARDIA study, who were black and white men and women aged 18 to 30 years at baseline in 1985-1986 at 4 urban US sites, collected through 25 years of follow-up (2010-2011). We examined systolic BP, diastolic BP, and mid-BP (calculated as [SBP+DBP]/2, an important marker of coronary heart disease risk among younger populations) at baseline and years 2, 5, 7, 10, 15, 20, and 25. Latent mixture modeling was used to identify trajectories in systolic, diastolic, and mid-BP over time. MAIN OUTCOMES AND MEASURES: Coronary artery calcification greater than or equal to Agatston score of 100 Hounsfield units (HU) at year 25.

resultsWe identified 5 distinct mid-BP trajectories: low-stable (21.8%; 95% CI, 19.9%-23.7%; n=987), moderate-stable (42.3%; 40.3%-44.3%; n=2085), moderate-increasing (12.2%; 10.4%-14.0%; n=489), elevated-stable (19.0%; 17.1%-20.0%; n=903), and elevated-increasing (4.8%; 4.0%-5.5%; n=217). Compared with the low-stable group, trajectories with elevated BP levels had greater odds of having a CAC score of 100 HU or greater. Adjusted odds ratios were 1.44 (95% CI, 0.83-2.49) for moderate-stable, 1.86 (95% CI, 0.91-3.82) for moderate-increasing, 2.28 (95% CI, 1.24-4.18), for elevated-stable, and 3.70 (95% CI, 1.66-8.20) for elevated-increasing groups. The adjusted prevalence of a CAC score of 100 HU or higher was 5.8% in the low-stable group. These odds ratios represent an absolute increase of 2.7%, 5%, 6.3%, and 12.9% for the prevalence of a CAC score of 100 HU or higher for the moderate-stable, moderate-increasing, elevated-stable and elevated-increasing groups, respectively, compared with the low-stable group. Associations were not altered after adjustment for baseline and year 25 BP. Findings were similar for trajectories of isolated systolic BP trajectories but were attenuated for diastolic BP trajectories. CONCLUSIONS AND RELEVANCE: Blood pressure trajectories throughout young adulthood vary, and higher BP trajectories were associated with an increased risk of CAC in middle age. Long-term trajectories in BP may assist in more accurate identification of individuals with subclinical atherosclerosis.

Indexed as

AdultAgingBlood PressureCoronary Artery DiseaseFemaleHumansHypertensionMaleMiddle AgedOdds RatioProspective StudiesRiskVascular CalcificationYoung Adult

Identifiers

PMID24496536
PMCPMC4122296
OpenAlexW2142002753

What OpenQuestion holds

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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.