Evidence map›Paper›PMID 33861306›Full record

ArticleAmerican journal of hypertension2021

Trajectories of Blood Pressure Control a Year After Randomization and Incident Cardiovascular Outcomes in SPRINT.

Charles A German, Tali Elfassy, Matthew J Singleton, Carlos J Rodriguez, Walter T Ambrosius, Joseph Yeboah

Abstract read
In one paragraph

Article in American journal of hypertension, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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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

6 authors.

Charles A GermanSection of Cardiology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.ORCID 0000-0001-5655-2769
Tali ElfassyDivision of Epidemiology, Department of Public Health Sciences, University of Miami, Miami, Florida, USA.
Matthew J SingletonSection of Cardiology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Carlos J RodriguezDivision of Cardiology, Department of Medicine, Albert Einstein College of Medicine, Bronx, New York, USA.
Walter T AmbrosiusDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Joseph YeboahSection of Cardiology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.

Funding

INSTITUTIONAL CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR024134 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2006 to 2011
$70.4M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Xiaoyan Leng · 2002 to 2026
$36.4M
Tufts Clinical and Translational Research InstituteUL1TR001064 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2013 to 2017
$26.4M
University of Iowa Clinical and Translational Science Program (TL1)UL1RR025755 · NCRR · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2008 to 2011
$26.3M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025771 · NCRR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CENTER, DAVID M. · 2008 to 2011
$17.6M
TUFTS CLINICAL AND TRANSLATION SCIENCE INSTITUTE (UL1): BPCAUL1RR025752 · NCRR · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2008 to 2011
$17.6M
Centers of Biomedical Research Excellence P30GM103337NCATS NIH HHS UL1 TR000002NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1 TR000005NCATS NIH HHS UL1 TR000050NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR000073NCATS NIH HHS UL1 TR000075NCATS NIH HHS UL1 TR000093NCATS NIH HHS UL1 TR000105NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1 TR000439NCATS NIH HHS UL1TR000439NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR001064NCATS NIH HHS UL1 TR003142NCRR NIH HHS UL1 RR024134NCRR NIH HHS UL1 RR025752NCRR NIH HHS UL1 RR025755NCRR NIH HHS UL1 RR025771NHLBI NIH HHS HHSN268200900040CNHLBI NIH HHS HHSN268200900046CNHLBI NIH HHS HHSN268200900047CNHLBI NIH HHS HHSN268200900048CNHLBI NIH HHS HHSN268200900049CNHLBI NIH HHS K01 HL133468NIA NIH HHS P30 AG021332NIA NIH HHS R01 AG055606NIGMS NIH HHS P30 GM103337NIMHD NIH HHS K01 MD014158NINDS NIH HHS HHSN268200900040C
6 · The paper itself

Abstract

backgroundWhile studies have assessed the association between blood pressure trajectories and cardiovascular disease (CVD) outcomes using observational data, few have assessed these associations using clinical trial data. We sought to identify systolic blood pressure (SBP) trajectories and to determine if these trajectory patterns carry inherent CVD risk, irrespective of baseline blood pressure.

methodsSBP trajectories were identified using latent class group-based modeling among a cohort of Systolic Blood Pressure Intervention Trial (SPRINT) participants by incorporating SBP measures during the first 12 months of the trial postrandomization. Cox models were used to evaluate the association between SBP trajectory with CVD and all-cause mortality.

resultsFour distinct SBP trajectories were identified: "low decline" (41%), "high decline" (6%), "low stable" (48%), and "high stable" (5%). Relative to the "low decline" group, the "low stable" group was associated with a 29% increased risk of CVD (hazard ratio [HR]: 1.29, 95% confidence interval [CI]: 1.06-1.57) and the "high stable" group was associated with a 76% increased risk of all-cause mortality (HR: 1.76, 95% CI: 1.15-2.68). Relative to the "low stable" group, the "high stable" group was associated with a 54% increased risk of all-cause mortality (HR: 1.54, 95% CI: 1.05-2.28).

conclusionsOur results demonstrate that SBP trajectory patterns are associated with important cardiovascular outcomes, irrespective of baseline blood pressure, which may help better identify individuals at risk and assist with accurate adjudication of antihypertensive therapy to reduce future events.

Indexed as

HypertensionCardiovascular DiseasesClinical Trials as TopicFollow-Up StudiesHumansIncidenceRandom Allocationblood pressurecardiovascular diseasehypertensionpreventionSPRINT

Identifiers

PMID33861306
PMCPMC8457432

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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.