Observational studyBMC endocrine disorders2019
Development and validation of a predictive model for incident type 2 diabetes in middle-aged Mexican adults: the metabolic syndrome cohort.
Observational study in BMC endocrine disorders, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07284316 (Effect of a Multidomain Intervention Plus Turmeric on the Prevention of Cognitive Decline in People Over 55 Years of Age With Insulin Resistance), which is not on this map. Cited by 26 papers, 3 of them syntheses that pooled it.
What it found
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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.
Effect of a Multidomain Intervention Plus Turmeric on the Prevention of Cognitive Decline in People Over 55 Years of Age With Insulin Resistance: A Randomized Clinical Trial
Who cites it
26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- Machine learning and artificial intelligence in type 2 diabetes prediction: a comprehensive 33-year bibliometric and literature analysis.Frontiers in digital health · 2025Pooled it
- The power of TOPMed imputation for the discovery of Latino-enriched rare variants associated with type 2 diabetes.Diabetologia · 2023Pooled it
- HOMA-IR as a predictor of Health Outcomes in Patients with Metabolic Risk Factors: A Systematic Review and Meta-analysis.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2022Pooled it
- Lessons from single cell omics: admixed American ancestry and sex confer cardiometabolic disease risk in Mexicans.Genome medicine · 2026Article
- Performance of diabetes risk prediction models: a systematic review and meta-analysis.Endocrine connections · 2025Article
- Article
- Insulin resistance, CaFrontiers in physiology · 2025Review
- [Construction of a Predictive Model for Diabetes Mellitus Type 2 in Middle-Aged and Elderly Populations Based on the Medical Checkup Data of National Basic Public Health Service].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024Article
- Genetic risk score for insulin resistance based on gene variants associated to amino acid metabolism in young adults.PloS one · 2024Article
- Prevalence of prediabetes in Mexico: a retrospective analysis of nationally representative surveys spanning 2016-2022.Lancet regional health. Americas · 2023Article
- Enhancement of Classifier Performance Using Swarm Intelligence in Detection of Diabetes from Pancreatic Microarray Gene Data.Biomimetics (Basel, Switzerland) · 2023Article
- [Diagnostic performance of the FINDRISC questionnaire to identify insulin resistance in adults].Revista medica del Instituto Mexicano del Seguro Social · 2023Observational
- Predictive model of diabetes mellitus in patients with idiopathic inflammatory myopathies.Frontiers in endocrinology · 2023Article
- Establishment of dynamic nomogram and risk score models for T2DM: a retrospective cohort study in Beijing.BMC public health · 2022Article
- Characterization of data-driven clusters in diabetes-free adults and their utility for risk stratification of type 2 diabetes.BMC medicine · 2022Article
- A nomogram model for the risk prediction of type 2 diabetes in healthy eastern China residents: a 14-year retrospective cohort study from 15,166 participants.The EPMA journal · 2022Article
- Machine learning and deep learning predictive models for type 2 diabetes: a systematic review.Diabetology & metabolic syndrome · 2021Review
- Prediction Models for Type 2 Diabetes Risk in the General Population: A Systematic Review of Observational Studies.International journal of endocrinology and metabolism · 2021Article
- Natural course of metabolically healthy phenotype and risk of developing Cardiometabolic diseases: a three years follow-up study.BMC endocrine disorders · 2021Article
- The -514C>T polymorphism in the LIPC gene modifies type 2 diabetes risk through modulation of HDL-cholesterol levels in Mexicans.Journal of endocrinological investigation · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 6 institutions in 1 country.
Funding
Abstract
backgroundType 2 diabetes mellitus (T2D) is a leading cause of morbidity and mortality in Mexico. Here, we aimed to report incidence rates (IR) of type 2 diabetes in middle-aged apparently-healthy Mexican adults, identify risk factors associated to ID and develop a predictive model for ID in a high-risk population.
methodsProspective 3-year observational cohort, comprised of apparently-healthy adults from urban settings of central Mexico in whom demographic, anthropometric and biochemical data was collected. We evaluated risk factors for ID using Cox proportional hazard regression and developed predictive models for ID.
resultsWe included 7636 participants of whom 6144 completed follow-up. We observed 331 ID cases (IR: 21.9 per 1000 person-years, 95%CI 21.37-22.47). Risk factors for ID included family history of diabetes, age, abdominal obesity, waist-height ratio, impaired fasting glucose (IFG), HOMA2-IR and metabolic syndrome. Early-onset ID was also high (IR 14.77 per 1000 person-years, 95%CI 14.21-15.35), and risk factors included HOMA-IR and IFG. Our ID predictive model included age, hypertriglyceridemia, IFG, hypertension and abdominal obesity as predictors (D
conclusionsID in apparently healthy middle-aged Mexican adults is currently at an alarming rate. The constructed models can be implemented to predict diabetes risk and represent the largest prospective effort for the study metabolic diseases in Latin-American population.
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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 Socratic graph.