Evidence map›Paper›PMID 38037153›Full record

ReviewClinical hypertension2023

Arterial stiffness and hypertension.

Hack-Lyoung Kim

Open access · diamondAbstract readReview
In one paragraph

Review in Clinical hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 151 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
151citing papers in PubMed, 5 pooled it
41.1field-weighted citation impact, top 1% 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.

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

151 citing papers in PubMed, 5 syntheses or guidelines pooled it, 191 citations in OpenAlex.

  1. Pooled it
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  6. Trial
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  8. Article
  9. Hypertension: a missing piece in HFpEF?Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Review
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  14. Review
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  17. Observational
  18. Review
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91 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Hack-Lyoung KimDivision of Cardiology, Department of Internal Medicine, Boramae Medical Center, Seoul National University College of Medicine, 5 Boramae-Ro, Dongjak-Gu, Seoul, 07061, Republic of Korea. khl2876@gmail.com.ORCID http://orcid.org/0000-0002-6703-1472
Seoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arterial stiffness and hypertension are closely related in pathophysiology. Chronic high blood pressure (BP) can lead to arterial wall damage by mechanical stress, endothelial dysfunction, increased inflammation, oxidative stress, and renin-angiotensin-aldosterone system (RAAS) activation. Hypertension also increases collagen fiber production and accelerates elastin fiber degradation. Stiffened arteries struggle with BP changes, raising systolic BP and pulse pressure. The resulting increased systolic pressure further hardens arteries, creating a harmful cycle of inflammation and calcification. Arterial stiffness data can predict target organ damage and future cardiovascular events in hypertensive patients. Thus, early detection of arterial stiffness aids in initiating preventive measures and treatment plans to protect against progression of vascular damage. While various methods exist for measuring arterial stiffness, pulse wave velocity is a non-invasive, simple measurement method that maximizes effectiveness. Healthy lifestyle changes, RAAS blockers, and statins are known to reduce arterial stiffness. Further research is needed to ascertain if improving arterial stiffness will enhance prognosis in hypertensive patients.

Indexed as

Arterial damageArterial stiffnessCardiovascular riskHypertensionTarget organ damage

Identifiers

PMID38037153
PMCPMC10691097
OpenAlexW4389208559

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.