The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Use of the triglyceride-glucose index (TyG) in cardiovascular disease patients
Open accessAbstract
Da Silva et al. showed that the triglyceride-glucose (TyG) index was positively associated with a higher prevalence of symptomatic coronary artery disease (CAD). TyG has been used in healthy individuals as a marker of insulin resistance. The use of this index as a marker of atherosclerosis in cardiovascular disease (CVD) patients might be influenced by diabetes and the hyperlipidemic state that led to CVD. Certain considerations might be necessary before we conclude that the TyG index can be used as a marker of atherosclerosis in CVD patients. These factors can highlight the role of fasting blood glucose and triglyceride levels that are used in the TyG formula. Comparing the fasting blood glucose and/or triglyceride levels with the TyG index in these patients to show how much value the TyG index can add to clinical practice seems to be necessary. Conclusions of such studies might be biased by these facts. Stratification by CAD disease category cannot help achieve an understanding of the role of TyG in CVD. Correlations do not imply causation, so the use of the TyG index as an index in CAD patients is questionable.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Zhao, S., Yu, S., Chi, C., Fan, X., Tang, J., Ji, H., Teliewubai, J., Zhang, Y., & Xu, Y. (2019) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0898-x · Cited by 324
Luo, E., Wang, D., Yan, G., Qiao, Y., Liu, B., Hou, J., & Tang, C. (2019) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0957-3 · Cited by 304
da Silva, A., Caldas, A. P. S., Hermsdorff, H. H. M., Bersch-Ferreira, Â. C., Torreglosa, C. R., Weber, B., & Bressan, J. (2019) · Cardiovascular Diabetology · doi:10.1186/s12933-019-0893-2 · Cited by 299
Shi, W., Xing, L., Jing, L., Tian, Y., Yan, H., Sun, Q., Dai, D., Shi, L., & Liu, S. (2020) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2019.09.015 · Cited by 178
Chamroonkiadtikun, P., Ananchaisarp, T., & Wanichanon, W. (2019) · Primary care diabetes · doi:10.1016/j.pcd.2019.08.004 · Cited by 138
Triglycerides and risk for coronary artery disease
McBride, P. E. (2008) · Current Atherosclerosis Reports · doi:10.1007/s11883-008-0060-9 · Cited by 119
Moon, S., Park, J.-S., & Ahn, Y.-H. (2017) · Journal of Korean Medical Science · doi:10.3346/jkms.2017.32.3.427 · Cited by 118
Diabetes and Coronary Heart Disease: A Risk Factor for the Global Epidemic
Chiha, M., Njeim, M., & Chedrawy, E. G. (2012) · International Journal of Hypertension · doi:10.1155/2012/697240 · Cited by 106
Cited by
Liu, X., Tan, Z., Huang, Y., Zhao, H., Liu, M., Yu, P., Ma, J., Zhao, Y., Zhu, W., & Wang, J. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01546-0 · Cited by 409
Zhang, Y., Ding, X., Hua, B., Liu, Q., Gao, H., Chen, H., Zhao, X.-Q., Li, W., & Li, H. (2022) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.61119 · Cited by 78
Metadata
- Authors
- Alizargar, J., Bai, C.-H., Hsieh, N.-C., & Wu, S.-F. V.
- Venue
- Cardiovascular Diabetology
- Published
- 2020-01-15
- Volume
- 19
- Issue
- 1
- Pages
- 8-8
- ISSN
- 1475-2840 (ISSN-L)
- OpenAlex
- W3005741169
- Cited by
- 403
- References
- 10
- FWCI
- 21.65
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Use of the triglyceride-glucose index (TyG) in cardiovascular disease patients. https://app.cochat.ai/papers/10.1186/s12933-019-0982-2
- The paper
- Alizargar, J., Bai, C.-H., Hsieh, N.-C., & Wu, S.-F. V. (2020). Use of the triglyceride-glucose index (TyG) in cardiovascular disease patients. Cardiovascular Diabetology. https://doi.org/10.1186/s12933-019-0982-2
Data sources
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.
