Evidence map›Paper›PMID 41125318›Full record

Trial reportJournal of the American College of Cardiology2025

Using PREVENT Equations to Compare Intensive vs Standard Systolic Blood Pressure Control for Primary Prevention in SPRINT.

Catherine G Derington, Ransmond O Berchie, Tom Greene, Joshua A Jacobs, Andrew E Moran, Yizhe Xu, Keisuke Narita, Alexander R Zheutlin, Jordana B Cohen, Daichi Shimbo and 1 more

Abstract readComparative StudyRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Journal of the American College of Cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Catherine G DeringtonDivision of Cardiology, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA; Adult & Child Center for Outcomes Research & Dissemination, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA. Electronic address: catherine.derington@cuanschutz.edu.
Ransmond O BerchieIntermountain Healthcare Department of Population Health Sciences, Divisions of Health System Innovation and Research and Biostatistics, Spencer Fox-Eccles School of Medicine, University of Utah, Salt Lake City, Utah, USA.
Tom GreeneIntermountain Healthcare Department of Population Health Sciences, Divisions of Health System Innovation and Research and Biostatistics, Spencer Fox-Eccles School of Medicine, University of Utah, Salt Lake City, Utah, USA; Division of Epidemiology, Department of Internal Medicine, Spencer Fox-Eccles School of Medicine, University of Utah, Salt Lake City, Utah, USA.
Joshua A JacobsIntermountain Healthcare Department of Population Health Sciences, Divisions of Health System Innovation and Research and Biostatistics, Spencer Fox-Eccles School of Medicine, University of Utah, Salt Lake City, Utah, USA.
Andrew E MoranDivision of General Internal Medicine, Department of Medicine, Columbia University, New York, New York, USA.
Yizhe XuDivision of Epidemiology, Department of Internal Medicine, Spencer Fox-Eccles School of Medicine, University of Utah, Salt Lake City, Utah, USA.
Keisuke NaritaColumbia Hypertension Lab, Division of Cardiology, Department of Medicine, Columbia University, New York, New York, USA.
Alexander R ZheutlinDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
Jordana B CohenDepartment of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA; Renal-Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Daichi ShimboColumbia Hypertension Lab, Division of Cardiology, Department of Medicine, Columbia University, New York, New York, USA.
Adam P BressIntermountain Healthcare Department of Population Health Sciences, Divisions of Health System Innovation and Research and Biostatistics, Spencer Fox-Eccles School of Medicine, University of Utah, Salt Lake City, Utah, USA.

Funding

Targeting Skeletal Muscle Perfusion and Oxidative Capacity in HFpEFR01HL155599 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI ZAMANI, PAYMAN · 2021 to 2025
$3.9M
Cardiovascular Risk, Vascular and Kidney Damage in COVID-19 SurvivorsR01HL157108 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI JULIO ALONSO CHIRINOS MEDINA, Jordana B. Cohen · 2022 to 2026
$3.9M
Multidrug Metabolic Approach to Improve Exercise and Skeletal Muscle Oxidative Capacity in HFpEFR01HL157264 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI ZAMANI, PAYMAN · 2021 to 2025
$3.5M
Informing optimal first-line antihypertensive therapy: A rigorous comparative effectiveness analysis of ARBs vs. ACEIs on long-term risk of dementia, cancer, heart disease, and quality of lifeR01AG074989 · NIA · UNIVERSITY OF PENNSYLVANIA · PI BRESS, ADAM P, COHEN, JORDANA B. · 2022 to 2025
$3.3M
Patient Level Prediction of Clinical Outcomes and Cost-Effectiveness in SPRINT (Optimize-SPRINT)R01HL139837 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRESS, ADAM P, MORAN, ANDREW EDWARD · 2018 to 2021
$3.2M
Blockade of calcium channels and beta adrenergic receptors for physiologic abnormalities in heart failure with preserved ejection fraction (BLOCK HFpEF)R01HL153646 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI COHEN, JORDANA B. · 2020 to 2024
$3.2M
Guiding next steps for SPRINT-MIND implementation: Identifying high-benefit subgroups and comparative effects of ARB- vs. ACEI-based regimensR01AG065805 · NIA · UNIVERSITY OF UTAH · PI BRESS, ADAM P · 2020 to 2023
$2.7M
Using pharmacoepidemiology to optimize antihypertensive medication use to prevent aging-related multimorbidity: Midcareer investigator award in patient-oriented research and mentoring.K24AG080168 · NIA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Adam P Bress · 2023 to 2026
$793k
Start Strong: A mixed methods study to inform initial antihypertensive prescribing and a patient-self titration intervention to improve blood pressure control, safety, and reduce cardiovascular riskK01HL175188 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI Catherine G Derington · 2025 to 2026
$339k
NHLBI NIH HHS K01 HL175188NHLBI NIH HHS R01 HL139837NHLBI NIH HHS R01 HL153646NHLBI NIH HHS R01 HL155599NHLBI NIH HHS R01 HL157108NHLBI NIH HHS R01 HL157264NIA NIH HHS K24 AG080168NIA NIH HHS L30 AG079374NIA NIH HHS R01 AG065805NIA NIH HHS R01 AG074989
6 · The paper itself

Abstract

backgroundThe Predicting Risk of Cardiovascular Disease Events (PREVENT) equations may provide more precise risk stratification than older calculators by incorporating estimated glomerular filtration rate, excluding race, and capturing total cardiovascular disease (CVD) events including heart failure.

objectivesThe aim of this study was to quantify the relative and absolute benefits and harms of intensive vs standard systolic blood pressure (SBP) treatment by the new PREVENT risk levels.

methodsA secondary analysis of SPRING (Systolic Blood Pressure Intervention Trial) was performed among participants without prevalent CVD and with complete data to calculate the baseline PREVENT 10-year risk for total CVD, which was categorized as low or borderline (<7.5%), intermediate (7.5% to <20%), and high (≥20%). Across these groups, the HRs and 4-year absolute risk differences were estimated for the effect of intensive (<120 mm Hg) vs standard (<140 mm Hg) SBP treatment on the primary composite outcome (myocardial infarction, acute coronary syndrome, stroke, heart failure, or CVD death) and treatment-related serious adverse events.

resultsOf 6,554 SPRINT participants analyzed (mean age 65 years, 37% women, 53% non-Hispanic White), the median PREVENT

conclusionsAmong SPRINT participants without baseline CVD, the relative risk reduction with intensive vs standard SBP treatment was consistent across PREVENT risk strata. However, the absolute risks varied several-fold from the low- or borderline-risk group to the high-risk group. These findings underscore the utility of PREVENT to identify those most likely to derive substantial absolute benefit from intensive SBP control for primary prevention.

Indexed as

Antihypertensive AgentsBlood PressureCardiovascular DiseasesHypertensionPrimary PreventionAgedFemaleHumansMaleMiddle AgedRisk AssessmentAntihypertensive Agentsantihypertensiveblood pressurecardiovascular diseaseintensivePREVENTrisk

Identifiers

PMID41125318
PMCPMC13135369

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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.