ArticleHigh blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension2023
Development of Data Mining Algorithms for Identifying the Best Anthropometric Predictors for Cardiovascular Disease: MASHAD Cohort Study.
Article in High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 21 citations in OpenAlex.
- Observational
- Demographics and obesity using a machine learning approach: Iranian National Obesity Registry (IRNOR).Journal of education and health promotion · 2026Article
- Association of changes in the type 2 diabetes and MASLD/related SLD status with risk of developing cardiovascular disease.Diabetes, obesity & metabolism · 2025Article
- Multivariate linear regression to predict association of non-invasive arterial stiffness with cardiovascular events.ESC heart failure · 2025Article
- Serum Zinc and Copper Concentrations and Dyslipidemia as Risk Factors of Cardiovascular Disease in Adults: Data Mining Techniques.Biological trace element research · 2025Article
- Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes.Journal of health, population, and nutrition · 2025Article
- Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches.BMC medical informatics and decision making · 2025Article
- Blood indices of inflammation and their association with hypertension in smokers: analysis using data mining approaches.Journal of human hypertension · 2025Article
- Association between serum hypertriglyceridemia and hematological indices: data mining approaches.BMC medical informatics and decision making · 2024Article
- Predictive properties of novel anthropometric and biochemical indexes for prediction of cardiovascular risk.Diabetology & metabolic syndrome · 2024Article
- Predicting high sensitivity C-reactive protein levels and their associations in a large population using decision tree and linear regression.Scientific reports · 2024Article
- Evaluating the Association of Anthropometric Indices With Total Cholesterol in a Large Population Using Data Mining Algorithms.Journal of clinical laboratory analysis · 2024Article
- Uric acid is associated with type 2 diabetes: data mining approaches.Diabetology international · 2024Article
- The associations of oxidative stress and inflammatory markers with obesity in Iranian population: MASHAD cohort study.BMC endocrine disorders · 2024Article
- The relationship between anthropometric indices and the presence of hypertension in an Iranian population sample using data mining algorithms.Journal of human hypertension · 2024Article
- White blood cell and platelet distribution widths are associated with hypertension: data mining approaches.Hypertension research : official journal of the Japanese Society of Hypertension · 2024Article
- Association between biochemical and hematologic factors with COVID-19 using data mining methods.BMC infectious diseases · 2023Article
- Serum uric acid to high-density lipoprotein ratio as a novel indicator of inflammation is correlated with the presence and severity of metabolic syndrome: A large-scale study.Endocrinology, diabetes & metabolism · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMany studies have been published to assess the best anthropometric measurements associated with cardiovascular diseases (CVDs), but controversies still exist.
aimInvestigating the association between CVDs and anthropometric measurements among Iranian adults.
methodsFor a total population of 9354 aged 35 to 65, a prospective study was designed. Anthropometric measurements including ABSI (A Body Shape Index), Body Adiposity Index (BAI), Body Mass Index (BMI), Waist to Height Ratio (WHtR), Body Round Index (BRI), HC (Hip Circumference), Demispan, Mid-arm circumference (MAC), Waist-to-hip (WH) and Waist Circumference (WC) were completed. The association between these parameters and CVDs were assessed through logistic regression (LR) and decision tree (DT) models.
resultsDuring the 6-year follow-up, 4596 individuals (49%) developed CVDs. According to the LR, age, BAI, BMI, Demispan, and BRI, in male and age, WC, BMI, and BAI in female had a significant association with CVDs (p-value < 0.03). Age and BRI for male and age and BMI for female represent the most appropriate estimates for CVDs (OR: 1.07, (95% CI: 1.06, 1.08), 1.36 (1.22, 1.51), 1.14 (1.13, 1.15), and 1.05 (1.02, 1.07), respectively). In the DT for male, those with BRI ≥ 3.87, age ≥ 46 years, and BMI ≥ 35.97 had the highest risk to develop CVDs (90%). Also, in the DT for female, those with age ≥ 54 years and WC ≥ 84 had the highest risk to develop CVDs (71%).
conclusionBRI and age in male and age and BMI in female had the greatest association with CVDs. Also, BRI and BMI was the strongest indices for this prediction.
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.