Evidence map›Paper›PMID 38234206›Full record

SynthesisJournal of clinical hypertension (Greenwich, Conn.)2024

Ambulatory arterial stiffness index, mortality, and adverse cardiovascular outcomes; Systematic review and meta-analysis.

Christopher J Boos, Aung Hein, Ahmed Khattab

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of clinical hypertension (Greenwich, Conn.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Blood L-cystine levels positively related to increased risk of hypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2024
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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

3 authors.

Christopher J BoosDepartment of Cardiology, University Hospitals Dorset, Poole Hospital, Poole, UK.ORCID 0000-0002-3381-5068
Aung HeinFaculty of Health & Social Sciences, Bournemouth University, Bournemouth, UK.
Ahmed KhattabFaculty of Health & Social Sciences, Bournemouth University, Bournemouth, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ambulatory arterial stiffness index (AASI) is a novel measure of both blood pressure (BP) variability and arterial stiffness. This systematic review and meta-analysis was designed to evaluate the strength of the association between AASI and mortality and major adverse cardiovascular events (MACE). PubMed, Scopus, CINAHL, Google Scholar. and the Cochrane library were searched for relevant studies to July 31, 2023. Two investigators independently extracted data. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of all included articles. The relationship between baseline AASI and outcomes were examined using relative risk (RR) ratios with 95% confidence intervals (CI) with RevMan web. Thirteen studies were included and representing 28 855 adult patients who were followed up from 2.2 to 15.2 years. A 1-standard deviation (1-SD) increase in AASI was associated with a significant increase in all-cause death (RR 1.12; 95% CI: 0.95-1.32), stroke (RR 1.25; 95% CI: 1.09-1.44), and MACE (RR 1.07; 95% CI: 1.01-1.13; [I

Indexed as

Cardiovascular DiseasesVascular StiffnessAdultBlood PressureBlood Pressure Monitoring, AmbulatoryHumansHypertensionRisk FactorsStrokeAASIambulatory arterial stiffness indexambulatory systolic-diastolic pulse regression index (ASDPRI)cardiovascular deathmortalitystroke and MACE

Identifiers

PMID38234206
PMCPMC10857461

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.