The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Metabolic syndrome: a closer look at the growing epidemic and its associated pathologies
Open accessAbstract
Summary: Obesity is reaching epidemic proportions with recent worldwide figures estimated at 1.4 billion and rising year‐on‐year. Obesity affects all socioeconomic backgrounds and ethnicities and is a pre‐requisite for metabolic syndrome. Metabolic syndrome is a clustering of risk factors, such as central obesity, insulin resistance, dyslipidaemia and hypertension that together culminate in the increased risk of type 2 diabetes mellitus and cardiovascular disease. As these conditions are among the leading causes of deaths worldwide and metabolic syndrome increases the risk of type 2 diabetes mellitus fivefold and cardiovascular disease threefold, it is of critical importance that a precise definition is agreed upon by all interested parties. Also of particular interest is the relationship between metabolic syndrome and cancer. Metabolic syndrome has been associated with a plethora of cancers including breast, pancreatic, colon and liver cancer. Furthermore, each individual risk factor for metabolic syndrome has also an association with cancer. Our review collates internationally generated information on metabolic syndrome, its many definitions and its associations with life‐threatening conditions including type 2 diabetes mellitus, cardiovascular disease and cancer, providing a foundation for future advancements on this topic.
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Cites
1 retracted
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Cited by
Depommier, C., Everard, A., Druart, C., Plovier, H., Van Hul, M., Vieira-Silva, S., Falony, G., Raes, J., Maiter, D., Delzenne, N. M., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0495-2 · Cited by 2,357
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Ranasinghe, P., Mathangasinghe, Y., Jayawardena, R., Hills, A. P., & Misra, A. (2017) · BMC Public Health · doi:10.1186/s12889-017-4041-1 · Cited by 746
Nutraceuticals: opening the debate for a regulatory framework
Santini, A., Cammarata, S. M., Capone, G., Ianaro, A., Tenore, G. C., Pani, L., & Novellino, E. (2018) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.13496 · Cited by 401
β Cell dysfunction during progression of metabolic syndrome to type 2 diabetes
Hudish, L. I., Reusch, J. E. B., & Sussel, L. (2019) · Journal of Clinical Investigation · doi:10.1172/jci129188 · Cited by 336
Metadata
- Authors
- O'Neill, S., & O'Driscoll, L.
- Venue
- Obesity Reviews
- Publisher
- Wiley
- Published
- 2014-11-18
- Volume
- 16
- Issue
- 1
- Pages
- 1-12
- ISSN
- 1467-7881 (ISSN-L)
- 1467-789X
- OpenAlex
- W2101964276
- Cited by
- 1,547
- References
- 12
- FWCI
- 46.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
