ArticleJournal of clinical hypertension (Greenwich, Conn.)2022
Arterial stiffness nomogram identification by cluster analysis: A new approach of vascular phenotype modeling.
Article in Journal of clinical hypertension (Greenwich, Conn.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Intensity matters: vigorous activity is associated with lower pressure-independent arterial stiffness in the UK Biobank.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Using artificial intelligence to predict sexual health outcomes in endometriosis: a decision tree model algorithm.Sexual medicine · 2026Article
- The arterial stiffness and pulse pressure are predictors of intraocular pressure in a middle-aged population.Scientific reports · 2025Article
- Quality of life identification by unsupervised cluster analysis: A new approach to modelling the burden of endometriosis.PloS one · 2025Article
- Association of central arterial stiffness with atrial myopathy: the Atherosclerosis Risk in Communities (ARIC) study.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Article
- 2024 Guidelines of the Taiwan Society of Cardiology on the Primary Prevention of Atherosclerotic Cardiovascular Disease --- Part I.Acta Cardiologica Sinica · 2024Article
- Development and validation of a nomogram for arterial stiffness.Journal of clinical hypertension (Greenwich, Conn.) · 2023Article
- Association between tobacco smoking and alcohol consumption with arterial stiffness.Journal of clinical hypertension (Greenwich, Conn.) · 2023Article
- Association between cannabis use and blood pressure levels according to comorbidities and socioeconomic status.Scientific reports · 2023Article
- Arterial stiffness and biological parameters: A decision tree machine learning application in hypertensive participants.PloS one · 2023Article
- Arterial stiffness nomogram identification by cluster analysis: A new approach of vascular phenotype modeling.Journal of clinical hypertension (Greenwich, Conn.) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Arterial stiffness, measured by arterial stiffness index (ASI), can be considered as a major denominator in cardiovascular diseases. Thus, it remains essential to highlight patient phenotyping profiles with high ASI values. A nomogram of arterial stiffness was evaluated by calculation of ASI nomogram. Theoretical ASI can be performed according to age, sex, mean blood pressure, and heart rate, allowing to form an individual ASI nomogram [(measured ASI - theoretical ASI)/theoretical ASI]. An ASI nomogram > 0 defined AS. This study investigates among UK Biobank participants without cardiovascular diseases, the hypothesis that K-means cluster analysis can be used to identify homogeneous phenotyping subgroups of participants according to ASI levels and then, the phenotype differences observed between these clusters. ASI nomogram was applied on 132 851 participants. K-means clustering was implemented with 10 clusters (optimal CCC value of 105.246). One cluster showed 100% rate of AS, corresponding to 25 393 participants (41.6% of the AS participants) with ASI nomogram = .26 (.22), ASI = 11.6 (2.3)m/s. A second cluster showed a 100% of non-AS, corresponding to 27 844 participants (38.8% of the participants with no arterial stiffness) with ASI nomogram = -.22 (.13), ASI = 7.1 (1.44)m/s. Threshold values of independent factors for differencing these two clusters were total cholesterol > 5.409 mmol/L (P < .001), triglycerides > 1.286 mmol/L (P < .001), smoking pack years > 11.8 pack/years, CRP > .99 (P < .001), daily alcohol consumption > 1.794 units/days and BMI > 26.641 kg/m
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.