Evidence map›Paper›PMID 29532983›Full record

Trial reportJournal of clinical hypertension (Greenwich, Conn.)2018

Intensive blood pressure lowering reduces adverse cardiovascular outcomes among patients with high-normal glucose: An analysis from the Systolic Blood Pressure Intervention Trial database.

Yan Gong, Steven M Smith, Eileen M Handberg, Carl J Pepine, Rhonda M Cooper-DeHoff

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of clinical hypertension (Greenwich, Conn.), 2018. 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.

  1. Trial
  2. Trial
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yan GongDepartment of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-8218-1620
Steven M SmithDepartment of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Eileen M HandbergDivision of Cardiovascular Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA.
Carl J PepineDivision of Cardiovascular Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA.
Rhonda M Cooper-DeHoffDepartment of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this analysis is to determine the effect of intensive (<120 mm Hg) versus standard (<140 mm Hg) systolic blood pressure (SBP) targets on cardiovascular (CV) outcomes among SPRINT participants with low-normal or high-normal fasting glucose (FG). We categorized the 5425 SPRINT participants with FG <100 mg/dL into 2 groups: <85 mg/dL (low-normal) and 85 to <100 mg/dL (high-normal). Among participants with low-normal glucose, there was no significant difference in the primary outcome (PO) between the 2 treatment arms (adjusted hazard ratio, HR: 1.27 (95% confidence interval [CI] 0.68-2.37, P = .46). However, the intensive SBP target was associated with 27% lower risk for the PO compared with the standard SBP target in those with high-normal glucose (HR 0.73, 0.57-0.93, P = .01). Our results indicate that hypertensive patients with high-normal FG may benefit from intensive SBP lowering, whereas benefits were inconclusive among those with low-normal FG.

Indexed as

AgedAntihypertensive AgentsBlood GlucoseCardiovascular DiseasesFemaleHumansHypertensionMaleMiddle AgedRisk FactorsAntihypertensive AgentsBlood Glucoseblood pressure controlglucosehypertensionSPRINT

Identifiers

PMID29532983
PMCPMC8031176

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.