Evidence map›Paper›PMID 40751458›Full record

Trial reportJournal of clinical hypertension (Greenwich, Conn.)2025

A Risk Stratification Model for Predicting Benefits of Intensive Blood Pressure Treatment: Analysis of the Systolic Blood Pressure Intervention Trial.

Na Li, Zhixin Yang, Quan Yuan, Wenli Cheng

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of clinical hypertension (Greenwich, Conn.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01206062 (Systolic Blood Pressure Intervention Trial), which is not on this 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.

NCT01206062 nacompletednot on this map

Systolic Blood Pressure Intervention Trial

TypeinterventionalSponsorNational Heart, Lung, and Blood Institute (NHLBI)Ran2010 to 2019Enrolled9,361ConditionsHypertensionArmsIntensive control of SBP, Standard control of SBP
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Na LiDepartment of Health Care (Geriatrics), China-Japan Friendship Hospital, Ministry of Health, Beijing, China.
Zhixin YangDepartment of Mathematical Sciences, Ball State University, Muncie, Indiana, USA.
Quan YuanDepartment of Information System and Operations Management, Ball State University, Muncie, Indiana, USA.
Wenli ChengCentre of Hypertension, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.ORCID 0009-0008-4356-5833

Funding

Capital Health Development Scientific Research Project 2020-2-2064National Health Commission of the People's Republic of China WKZX2023JG0128Research Center for the development of Medical Science and Technology
6 · The paper itself

Abstract

Current hypertension guidelines lack personalized strategies for blood pressure control. While the Systolic Blood Pressure Intervention Trial (SPRINT) demonstrated benefits of intensive blood pressure lowering, identifying optimal candidates for such treatment remains challenging. We developed and validated a risk stratification model using data from 9139 SPRINT participants. The model incorporated 11 clinical variables through multivariable Cox regression analysis. Patients were stratified into low-, medium-, and high-risk groups. The study protocol was registered at ClinicalTrials.gov (NCT01206062). The model showed good discrimination with C-indices of 0.7354 (95% CI: 0.7065-0.7710) and 0.6894 (95% CI: 0.6545-0.7266) at 3 years for training and validation sets, respectively. Intensive treatment significantly reduced cardiovascular events in medium-risk (3.17% vs. 5.11%, p = 0.0376) and high-risk groups (9.34% vs. 11.86%, p = 0.0269), while showing a nonsignificant trend in the low-risk group (2.87% vs. 3.34%, p = 0.0870). The Rank-Weighted Average Treatment Effect analysis (16.06) supported potential benefits from individualized treatment allocation. No increased risk of severe adverse events was observed across risk groups. Our risk stratification model effectively identifies patients who derive significant cardiovascular benefits from intensive blood pressure lowering, particularly in medium- and high-risk groups. This approach could guide more personalized hypertension management strategies.

Indexed as

Antihypertensive AgentsBlood PressureHypertensionAgedBlood Pressure DeterminationCardiovascular DiseasesFemaleHumansMaleMiddle AgedProportional Hazards ModelsRisk AssessmentRisk FactorsAntihypertensive Agentsblood pressure controlhypertension managementpersonalized medicinerisk stratificationSPRINT trial

Identifiers

PMID40751458
PMCPMC12317323

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Registered trials

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.