SynthesisBMC endocrine disorders2021
Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries.
Synthesis in BMC endocrine disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 28 citations in OpenAlex.
- Latent biochemical phenotypes delineate divergent health trajectories in older adults.npj aging · 2026Article
- The Effect of Metabolic Syndrome on Alzheimer's Disease: Physical Activity as a Preventive and Therapeutic Measure.Brain sciences · 2026Review
- Association analysis of weight-adjusted waist index with hypertension and its subtypes.Frontiers in public health · 2026Article
- Machine learning with the body roundness index and associated indicators: a new approach to predicting metabolic syndrome.BMC public health · 2025Article
- Dynamic changes in metabolic syndrome components and chronic kidney disease risk: a population-based prospective cohort study.BMC endocrine disorders · 2025Article
- Comparing the impact of cumulative insulin resistance surrogates exposure on stroke: optimizing prevention strategies.Lipids in health and disease · 2025Article
- Sustainable Utilization of Coffee Pulp, a By-Product of Coffee Production: Effects on Metabolic Syndrome in Fructose-Fed Rats.Antioxidants (Basel, Switzerland) · 2025Article
- A Longitudinal Assessment of Metabolic Syndrome.Journal of clinical medicine · 2025Article
- Dose-response relationship between the triglyceride-glucose index and metabolic syndrome risk in patients with type 2 diabetes: a cross-sectional analysis of 1,560 cases.Frontiers in endocrinology · 2025Article
- Postbiotics as Metabolites and Their Biotherapeutic Potential.International journal of molecular sciences · 2024Review
- [Recommendations for individual comorbidity risk assessment in adult patients with psoriasis].Dermatologie (Heidelberg, Germany) · 2023Review
- Dyslipidemia and its predictors among adult workers in eastern Ethiopia: An institution-based cross-sectional study.PloS one · 2023Article
- Development of High Fat Diet-Induced Hyperinsulinemia in Mice Is Enhanced by Co-treatment With a TLR7 Agonist.Frontiers in physiology · 2022Article
- Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Article
- Effect of adding high-intensity interval training to diet and carboxytherapy on metabolic cardiovascular risk factors in women with metabolic syndrome.Przeglad gastroenterologiczny · 2022Article
- Elevated LDL Cholesterol with a Carbohydrate-Restricted Diet: Evidence for a "Lean Mass Hyper-Responder" Phenotype.Current developments in nutrition · 2022Article
- Predicting the natural history of metabolic syndrome with a Markov-system dynamic model: a novel approach.BMC medical research methodology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe assessment of the natural history of metabolic syndrome (MetS) has an important role in clarifying the pathways of this disorder.
objectiveThis study purposed to provide a rational statistical view of MetS progression pathway.
methodsWe performed a systematic review in accordance with the PRISMA Statement until September 2019 in the Medline/PubMed, Scopus, Embase, Web of Science and Google Scholar databases. From the 68 found studies, 12 studies were eligible for review finally.
resultsThe selected studies were divided in 2 groups with Markovian and non-Markovian approach. With the Markov approach, the most important trigger for the MetS chain was dyslipidemia with overweight/obesity in the under-50 and with hypertension in the over-50 age group, where overweight/obesity was more important in women and hypertension in men. In non-Markov approach, the most common trigger was hypertension. Transition probability (TP) from no component to MetS were higher in all Markovian studies in men than in women. In the Markovians the combination of dyslipidemia with overweight/obesity and in non-Markovians, hyperglycemia with overweight/obesity were the most common combinations. Finally, the most important components, which predict the MetS, were 2-component states and hyperglycemia in Markovian approach and overweight/obesity in non-Markovians.
conclusionsAmong the components of the MetS, dyslipidemia and hypertension seems to be the main developer components in natural history of the MetS. Also, in this chain, the most likely combination over time that determines the future status of people seems to be the combination of dyslipidemia with obesity or hyperglycemia. However, more research is needed.
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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 OpenQuestion graph.