Evidence map›Paper›PMID 38202212›Full record

ArticleJournal of clinical medicine2023

Differences between SCORE, Framingham Risk Score, and Estimated Pulse Wave Velocity-Based Vascular Age Calculation Methods Based on Data from the Three Generations Health Program in Hungary.

Helga Gyöngyösi, Gergő József Szőllősi, Orsolya Csenteri, Zoltán Jancsó, Csaba Móczár, Péter Torzsa, Péter Andréka, Péter Vajer, János Nemcsik

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Vascular Age: A narrative review of assessment methods, clinical applications, and future directions.International journal of cardiology. Cardiovascular risk and prevention · 2026
    Review
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  4. Article
  5. Article
  6. Review
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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

9 authors at 3 institutions in 1 country.

Helga GyöngyösiDepartment of Family Medicine, Semmelweis University, 1085 Budapest, Hungary.
Gergő József SzőllősiGottsegen National Cardiovascular Center, 1096 Budapest, Hungary.
Orsolya CsenteriGottsegen National Cardiovascular Center, 1096 Budapest, Hungary.
Zoltán JancsóGottsegen National Cardiovascular Center, 1096 Budapest, Hungary.ORCID 0000-0003-0543-4476
Csaba MóczárDepartment of Family Medicine, Semmelweis University, 1085 Budapest, Hungary.
Péter TorzsaDepartment of Family Medicine, Semmelweis University, 1085 Budapest, Hungary.
Péter AndrékaGottsegen National Cardiovascular Center, 1096 Budapest, Hungary.
Péter VajerGottsegen National Cardiovascular Center, 1096 Budapest, Hungary.
János NemcsikDepartment of Family Medicine, Semmelweis University, 1085 Budapest, Hungary.ORCID 0000-0002-3573-0287
Gottsegen National Cardiovascular Center · HUSemmelweis University · HUUniversity of Debrecen · HU

Funding

Hungarian Ministry of Human Resources No.1234/2017 (IV. 28.)
6 · The paper itself

Abstract

Early vascular ageing contributes to cardiovascular (CV) morbidity and mortality. There are different possibilities to calculate vascular age including methods based on CV risk scores, but different methods might identify different subjects with early vascular ageing. We aimed to compare SCORE and Framingham Risk Score (FRS)-based vascular age calculation methods on subjects that were involved in a national screening program in Hungary. We also aimed to compare the distribution of subjects identified with early vascular ageing based on estimated pulse wave velocity (ePWV). The Three Generations for Health program focuses on the development of primary health care in Hungary. One of the key elements of the program is the identification of risk factors of CV diseases. Vascular ages based on the SCORE and FRS were calculated based on previous publications and were compared with chronological age and with each other in the total population and in patients with hypertension or diabetes. ePWV was calculated based on a method published previously. Supernormal, normal, and early vascular ageing were defined as <10%, 10-90%, and >90% ePWV values for the participants. In total, 99,231 subjects were involved in the study, and among them, 49,191 patients had hypertension (HT) and 15,921 patients had diabetes (DM). The chronological age of the total population was 54.0 (48.0-60.0) years, while the SCORE and FRS vascular ages were 59.0 (51.0-66.0) and 64.0 (51-80) years, respectively. In the HT patients, the chronological, SCORE, and FRS vascular ages were 57.0 (51.0-62.0), 63.0 (56.0-68.0), and 79.0 (64.0-80.0) years, respectively. In the DM patients, the chronological, SCORE, and FRS vascular ages were 58.0 (52.0-62.0), 63.0 (56.0-68.0), and 80.0 (76.0-80.0) years, respectively. Based on ePWV, the FRS identified patients with an elevated vascular age with high sensitivity (97.3%), while in the case of the SCORE, the sensitivity was much lower (13.3%). In conclusion, different vascular age calculation methods can provide different vascular age results in a population-based cohort. The importance of this finding for the implementation in CV preventive strategies requires further studies.

Indexed as

estimated pulse wave velocityrisk scoresvascular age

Identifiers

PMID38202212
PMCPMC10779891
OpenAlexW4390403702

What Socratic 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 Socratic graph.