ReviewFrontiers in genetics2022
"Big Data" Approaches for Prevention of the Metabolic Syndrome.
Review in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis 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.
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, 1 synthesis or guideline pooled it.
- Recent Update on the Anti-Inflammatory Activities of Propolis.Molecules (Basel, Switzerland) · 2022Pooled it
- Yoga practice can reduce metabolic syndrome and cardiovascular risk in climacteric women.Journal of behavioral medicine · 2024Trial
- The Inflammaging-Redox-InflammamiR Axis in Metabolic Aging: From Diagnostic Clusters to Integrated Risk Phenotypes.Biomolecules · 2026Review
- A model based on artificial intelligence for the prediction, prevention and patient-centred approach for non-communicable diseases related to metabolic syndrome.European journal of public health · 2025Article
- Single-nucleus RNA sequencing reveals dynamic changes in the microenvironment of visceral adipose tissue and metabolic characteristics after cold exposure.Frontiers in endocrinology · 2025Article
- Carob pulp flour as an innovative source of bioactive molecules for the preparation of high-value-added jellies.Heliyon · 2024Article
- Current Data and New Insights into the Genetic Factors of Atherogenic Dyslipidemia Associated with Metabolic Syndrome.Diagnostics (Basel, Switzerland) · 2023Review
- A New Bloody Pulp Selection of Myrobalan (Foods (Basel, Switzerland) · 2023Article
- New Advances in Metabolic Syndrome, from Prevention to Treatment: The Role of Diet and Food.Nutrients · 2023Review
- Prevalence and correlates of metabolic syndrome among women living in urban slums, Mysore, India.PLOS global public health · 2023Article
- Momordica balsamina improves glucose handling in a diet-induced prediabetic rat model.PloS one · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Metabolic syndrome (MetS) is characterized by the concurrence of multiple metabolic disorders resulting in the increased risk of a variety of diseases related to disrupted metabolism homeostasis. The prevalence of MetS has reached a pandemic level worldwide. In recent years, extensive amount of data have been generated throughout the research targeted or related to the condition with techniques including high-throughput screening and artificial intelligence, and with these "big data", the prevention of MetS could be pushed to an earlier stage with different data source, data mining tools and analytic tools at different levels. In this review we briefly summarize the recent advances in the study of "big data" applications in the three-level disease prevention for MetS, and illustrate how these technologies could contribute tobetter preventive strategies.
Indexed as
Identifiers
What Socratic 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 Socratic graph.