Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 306

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

Aortic Stiffness Is an Independent Predictor of Progression to Hypertension in Nonhypertensive Subjects

Open access
Dernellis, John, Panaretou, Maria·2005·Hypertension

Abstract

Aortic stiffness may predict progression to hypertension beyond classic risk factors. In a longitudinal study, we assessed the predictive value of aortic stiffness on future hypertension in nonhypertensive subjects with blood pressure (BP) <140/90. Aortic stiffness was determined by echocardiography at baseline in 2512 subjects. The follow-up time was 4 years. A stepwise increase in hypertension incidence occurred across the male and older participants: 3.8% of young female individuals, 11.5% of young male, 26.1% of old female, and 58.8% of old male subjects progressed to hypertension over 4 years. In multivariate analysis, aortic stain, distensibility, and stiffness index (β) remained significantly associated with the progression to future hypertension after adjustment to classic risk factors in men and women and in young and old populations. This study provides the first direct evidence to our knowledge in a longitudinal study that aortic stiffness is an independent predictor of progression to hypertension in nonhypertensive individuals.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/01.hyp.0000157818.58878.93

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 23 references

Cited by

See all 306

Metadata

Authors
Dernellis, J., & Panaretou, M.
Venue
Hypertension
Published
2005-03
Volume
45
Issue
3
Pages
426-431
ISSN
  • 0194-911X (ISSN-L)
  • 1524-4563
OpenAlex
W2038414269
Cited by
306
References
23
FWCI
9.55
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Aortic Stiffness Is an Independent Predictor of Progression to Hypertension in Nonhypertensive Subjects. https://app.cochat.ai/papers/10.1161/01.hyp.0000157818.58878.93
The paper
Dernellis, J., & Panaretou, M. (2005). Aortic Stiffness Is an Independent Predictor of Progression to Hypertension in Nonhypertensive Subjects. Hypertension. https://doi.org/10.1161/01.hyp.0000157818.58878.93

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.