The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
Triglyceride-glucose index as a marker in cardiovascular diseases: landscape and limitations
Open accessAbstract
The triglyceride-glucose (TyG) index has been identified as a reliable alternative biomarker of insulin resistance (IR). Recently, a considerable number of studies have provided robust statistical evidence suggesting that the TyG index is associated with the development and prognosis of cardiovascular disease (CVD). Nevertheless, the application of the TyG index as a marker of CVD has not systemically been evaluated, and even less information exists regarding the underlying mechanisms associated with CVD. To this end, in this review, we summarize the history of the use of the TyG index as a surrogate marker for IR. We aimed to highlight the application value of the TyG index for a variety of CVD types and to explore the potential limitations of using this index as a predictor for cardiovascular events to improve its application value for CVD and provide more extensive and precise supporting evidence.
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Cites
European Guidelines on cardiovascular disease prevention in clinical practice (version 2012)
Authors/Task Force Members:, Perk, J., De Backer, G., Gohlke, H., Graham, I., Reiner, Ž., Verschuren, M., Albus, C., Benlian, P., Boysen, G., et al. (2012) · European Heart Journal · doi:10.1093/eurheartj/ehs092 · Cited by 8,490
2016 European Guidelines on cardiovascular disease prevention in clinical practice
Piepoli, M. F., Hoes, A. W., Agewall, S., Albus, C., Brotons, C., Catapano, A. L., Cooney, M.-T., Corrà, U., Cosyns, B., Deaton, C., et al. (2016) · European Heart Journal · doi:10.1093/eurheartj/ehw106 · Cited by 6,457
Mach, F., Baigent, C., Catapano, A. L., Koskinas, K. C., Casula, M., Badimon, L., Chapman, M. J., De Backer, G. G., Delgado, V., Ference, B. A., et al. (2019) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2019.08.014 · Cited by 4,854
Laurent, S., Boutouyrie, P., Asmar, R., Gautier, I., Laloux, B., Guize, L., Ducimetiere, P., & Benetos, A. (2001) · Hypertension · doi:10.1161/01.hyp.37.5.1236 · Cited by 3,856
DeFronzo, R. A. (2009) · Diabetes · doi:10.2337/db09-9028 · Cited by 3,016
Third Universal Definition of Myocardial Infarction
Thygesen, K., Alpert, J. S., Jaffe, A. S., Simoons, M. L., Chaitman, B. R., & White, H. D. (2012) · Circulation · doi:10.1161/cir.0b013e31826e1058 · Cited by 2,985
Simental-Mendía, L. E., Rodríguez-Morán, M., & Guerrero-Romero, F. (2008) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2008.0034 · Cited by 2,445
Guerrero-Romero, F., Simental-Mendía, L. E., González-Ortiz, M., Martínez-Abundis, E., Ramos-Zavala, M. G., Hernández-González, S. O., Jacques-Camarena, O., & Rodríguez-Morán, M. (2010) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-0288 · Cited by 2,247
Arterial Stiffness and Cardiovascular Events: The Framingham Heart Study
Mitchell, G. F., Hwang, S.-J., Vasan, R. S., Larson, M. G., Pencina, M. J., Hamburg, N. M., Vita, J. A., Levy, D., & Benjamin, E. J. (2010) · Circulation · doi:10.1161/circulationaha.109.886655 · Cited by 2,225
Third universal definition of myocardial infarction
the Writing Group on behalf of the Joint ESC/ACCF/AHA/WHF Task Force for the Universal Definition of Myocardial Infarction, Thygesen, K., Alpert, J. S., Jaffe, A. S., Simoons, M. L., Chaitman, B. R., & White, H. D. (2012) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2012.122 · Cited by 2,053
Cited by
Dang, K., Wang, X., Hu, J., Zhang, Y., Cheng, L., Qi, X., Liu, L., Ming, Z., Tao, X., & Li, Y. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-023-02115-9 · Cited by 599
Zhang, Q., Xiao, S., Jiao, X., & Shen, Y. (2023) · Cardiovascular Diabetology · doi:10.1186/s12933-023-02030-z · Cited by 477
Duan, M., Zhao, X., Li, S., Miao, G., Bai, L., Zhang, Q., Yang, W., & Zhao, X. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02334-8 · Cited by 236
Uysal, E., Tammo, O., Soylemez, E., Incebıyık, M., Filiz, D., & Alci, M. (2024) · BMC Endocrine Disorders · doi:10.1186/s12902-024-01701-6 · Cited by 23
Metadata
- Authors
- Tao, L.-C., Xu, J.-N., Wang, T.-T., Hua, F., & Li, J.-J.
- Venue
- Cardiovascular Diabetology
- Published
- 2022-05-06
- Volume
- 21
- Issue
- 1
- Pages
- 68-68
- ISSN
- 1475-2840 (ISSN-L)
- OpenAlex
- W4228997710
- Cited by
- 1,042
- References
- 94
- FWCI
- 125.58
- Type
- journal article
- Language
- en
- Open access
- gold
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- Tao, L.-C., Xu, J.-N., Wang, T.-T., Hua, F., & Li, J.-J. (2022). Triglyceride-glucose index as a marker in cardiovascular diseases: landscape and limitations. Cardiovascular Diabetology. https://doi.org/10.1186/s12933-022-01511-x
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