Evidence map›Paper›PMID 35187120›Full record

ArticleFrontiers in cardiovascular medicine2022

Heterogeneity of Treatment Effects for Intensive Blood Pressure Therapy by Individual Components of FRS: An Unsupervised Data-Driven Subgroup Analysis in SPRINT and ACCORD.

Yaqian Wu, Jianling Bai, Mingzhi Zhang, Fang Shao, Honggang Yi, Dongfang You, Yang Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. 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
0.5field-weighted citation impact, top 36% 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.

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Yaqian WuDepartment of Biostatistics, Nanjing Medical University, Nanjing, China.
Jianling BaiDepartment of Biostatistics, Nanjing Medical University, Nanjing, China.
Mingzhi ZhangDepartment of Biostatistics, Nanjing Medical University, Nanjing, China.
Fang ShaoDepartment of Biostatistics, Nanjing Medical University, Nanjing, China.
Honggang YiDepartment of Biostatistics, Nanjing Medical University, Nanjing, China.
Dongfang YouDepartment of Biostatistics, Nanjing Medical University, Nanjing, China.
Yang ZhaoDepartment of Biostatistics, Nanjing Medical University, Nanjing, China.
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies have answered the guiding significance of individual components of the Framingham risk score (FRS) to the risk of cardiovascular disease (CVD) after antihypertensive treatment. This study on the systolic blood pressure intervention trial (SPRINT) and the Action to Control Cardiovascular Risk in Diabetes blood pressure trial (ACCORD-BP) aimed to reveal previously undetected association patterns between individual components of the FRS and heterogeneity of treatment effects (HTEs) of intensive blood pressure control.

methodsA self-organizing map (SOM) methodology was applied to identify CVD-risk-specific subgroups in the SPRINT (

resultsWe identified four SOM-based subgroups with distinct individual components of FRS profiles and the CVD risk. For individuals with type 2 diabetes mellitus (T2DM) in the ACCORD or without diabetes in the SPRINT, subgroup I characterized by male with the lowest concentrations for total cholesterol (TC) and high-density lipoprotein (HDL) cholesterol measures, experienced the highest risk for major CVD. Conversely, subgroup III characterized by a female with the highest values for these measures represented as the lowest CVD risk. Furthermore, subgroup II, with the highest systolic blood pressure (SBP) and no antihypertensive agent use at baseline, had a significantly greater frequency of non-MI ACS under intensive BP control, the number needed to harm (NNH) was 84.24 to cause 1 non-MI ACS [absolute risk reduction (ARR) = -1.19%; 95% CI: -2.08, -0.29%] in the SPRINT [hazard ratio (HR) = 3.62; 95% CI: 1.33, 9.81;

conclusionSimilar findings in patients with hypertensive with T2DM or without diabetes by multivariate subgrouping suggested that the individual components of the FRS could enrich or improve CVD risk assessment. Further research was required to clarify the potential mechanism.

Indexed as

ACCORDcardiovascular diseasesframingham risk scoreheterogeneous treatment effectsself-organizing mapSPRINT

Identifiers

PMID35187120
PMCPMC8850629
OpenAlexW4210445049

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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.