Evidence map›Paper›PMID 39346568›Full record

ArticleJournal of clinical medicine research2024

Age-Specific Approach to Arterial Stiffness Prediction in Apparently Healthy Patients.

Anna Bragina, Yulia Rodionova, Natalia Druzhinina, Timur Gamilov, Ekaterina Udalova, Artem Rogov, Lubov Vasileva, Rustam Shikhmagomedov, Oksana Avdeenko, Anna Kazadaeva and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine research, 2024. 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
–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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Anna BraginaDepartment of Internal Medicine No. 2, Institute of Clinical Medicine, Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID https://orcid.org/0000-0002-2699-1610
Yulia RodionovaDepartment of Internal Medicine No. 2, Institute of Clinical Medicine, Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID https://orcid.org/0000-0003-3461-6703
Natalia DruzhininaDepartment of Internal Medicine No. 2, Institute of Clinical Medicine, Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID https://orcid.org/0000-0001-8397-0210
Timur GamilovWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID https://orcid.org/0000-0002-1914-3859
Ekaterina UdalovaDepartment of Mathematical Modelling of Processes and Materials, Sirius University of Science and Technology, 354340 Sochi, Russia.ORCID https://orcid.org/0009-0004-4575-4348
Artem RogovWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID https://orcid.org/0009-0000-1610-2034
Lubov VasilevaDepartment of Internal Medicine No. 2, Institute of Clinical Medicine, Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID https://orcid.org/0000-0001-5730-7837
Rustam ShikhmagomedovDepartment of Internal Medicine No. 2, Institute of Clinical Medicine, Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID https://orcid.org/0000-0002-5296-8924
Oksana AvdeenkoDepartment of Therapeutic Dentistry, Institute of Dentistry Named After E.V. Borovsky, Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID https://orcid.org/0000-0002-9806-6213
Anna KazadaevaMedical Center Doctor Aleksandrovsky, Medgroup Fantasy Children's Clinic, Ltd. 121059 Moscow, Russia.ORCID https://orcid.org/0000-0001-7294-6418
Kirill NovikovDepartment of Internal Medicine No. 2, Institute of Clinical Medicine, Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID https://orcid.org/0009-0007-3273-4980
Valeriy PodzolkovDepartment of Internal Medicine No. 2, Institute of Clinical Medicine, Sechenov First Moscow State Medical University, 19991 Moscow, Russia.ORCID https://orcid.org/0000-0002-0758-5609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The high prevalence of traditional cardiovascular risk factors among the patients without cardiovascular disease (CVD) allows us to predict an increase in cardiovascular morbidity rate in the future. Arterial stiffness is one of the most important predictors and pathogenetic mechanisms of CVD development. The aim of our study was to evaluate the predictive differences of age-related and age-independent (universal) cardio-ankle vascular index (CAVI) reference values for detecting increased arterial stiffness in individuals without CVD. Methods: The study included 600 patients (43% men and 57% women, mean age 36.0 ± 18.3 years). All the patients underwent anthropometric measurements with obesity markers evaluation, assessment of arterial stiffness by sphygmomanometry. To create predictive models, we used universal and age-related CAVI thresholds: ≥ 9.0 (CAVI Results: In the < 50 years group, both the CAVI Conclusions: In the < 50 years group, the model based on age-specific CAVI thresholds has the higher predictive value, sensitivity, and specificity for identifying individuals with increased arterial stiffness. In contrast, in the ≥ 50 years group, a predictive model using a universal threshold value of CAVI

Indexed as

Arterial stiffnessCardio-ankle vascular indexMetabolic parametersPredictive model

Identifiers

PMID39346568
PMCPMC11426173

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.