The DOI matches its Crossref record; 103 of the 103 references it cites were found in a registry or an index.
Mechanisms of Cardiorenal Effects of Sodium-Glucose Cotransporter 2 Inhibitors
Open accessAbstract
Sodium-glucose cotransporter 2 inhibitors (SGLT2i), a new drug class approved for treatment of diabetes, have been shown to possess a favorable metabolic profile and to significantly reduce atherosclerotic events, hospitalization for heart failure, cardiovascular and total mortality, and progression of chronic kidney disease. Although initially considered to be only glucose-lowering agents, the effects of SGLT2i have expanded far beyond that, and their use is now being studied in the treatment of heart failure and chronic kidney disease, even in patients without diabetes. It is therefore critical for cardiologists, diabetologists, nephrologists, and primary care physicians to be familiar with this drug class. This first part of this 2-part review provides an overview of the current understanding of the mechanisms of the cardio-metabolic-renal benefits of SGLT2i. The second part summarizes the recent clinical trials of SGLT2i.
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
Younossi, Z. M., Koenig, A. B., Abdelatif, D., Fazel, Y., Henry, L., & Wymer, M. (2016) · Hepatology · doi:10.1002/hep.28431 · Cited by 10,781
Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association
Benjamin, E. J., Muntner, P., Alonso, A., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Chang, A. R., Cheng, S., Das, S. R., et al. (2019) · Circulation · doi:10.1161/cir.0000000000000659 · Cited by 9,036
IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045
Cho, N. H., Shaw, J. E., Karuranga, S., Huang, Y., da Rocha Fernandes, J. D., Ohlrogge, A. W., & Malanda, B. (2018) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2018.02.023 · Cited by 7,283
Dapagliflozin in Patients with Heart Failure and Reduced Ejection Fraction
McMurray, J. J. V., Solomon, S. D., Inzucchi, S. E., Køber, L., Kosiborod, M. N., Martinez, F. A., Ponikowski, P., Sabatine, M. S., Anand, I. S., Bělohlávek, J., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1911303 · Cited by 7,140
Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes
Wiviott, S. D., Raz, I., Bonaca, M. P., Mosenzon, O., Kato, E. T., Cahn, A., Silverman, M. G., Zelniker, T. A., Kuder, J. F., Murphy, S. A., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1812389 · Cited by 6,382
Self-citationEffect of Rosiglitazone on the Risk of Myocardial Infarction and Death from Cardiovascular Causes
Nissen, S. E., & Wolski, K. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa072761 · Cited by 4,675
Diabetic Kidney Disease: Challenges, Progress, and Possibilities
Alicic, R. Z., Rooney, M. T., & Tuttle, K. R. (2017) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.11491116 · Cited by 2,898
Zelniker, T. A., Wiviott, S. D., Raz, I., Im, K., Goodrich, E. L., Bonaca, M. P., Mosenzon, O., Kato, E. T., Cahn, A., Furtado, R. H. M., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(18)32590-x · Cited by 2,845
Self-citationThe ketone metabolite β-hydroxybutyrate blocks NLRP3 inflammasome-mediated inflammatory disease
Youm, Y.-H., Nguyen, K. Y., Grant, R. W., Goldberg, E. L., Bodogai, M., Kim, D., D'Agostino, D., Planavsky, N., Lupfer, C., Kanneganti, T. D., et al. (2015) · Nature Medicine · doi:10.1038/nm.3804 · Cited by 2,172
Diabetic Cardiomyopathy: An Update of Mechanisms Contributing to This Clinical Entity
Jia, G., Hill, M. A., & Sowers, J. R. (2018) · Circulation Research · doi:10.1161/circresaha.117.311586 · Cited by 1,807
Cited by
Heidenreich, P. A., Bozkurt, B., Aguilar, D., Allen, L. A., Byun, J. J., Colvin, M. M., Deswal, A., Drazner, M. H., Dunlay, S. M., Evers, L. R., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001063 · Cited by 4,922
Effect of finerenone on chronic kidney disease outcomes in type 2 diabetes
Bakris, G. L., Agarwal, R., Anker, S. D., Pitt, B., Ruilope, L. M., Rossing, P., Kolkhof, P., Nowack, C., Schloemer, P., Joseph, A., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2025845 · Cited by 2,935
2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure
Heidenreich, P. A., Bozkurt, B., Aguilar, D., Allen, L. A., Byun, J. J., Colvin, M. M., Deswal, A., Drazner, M. H., Dunlay, S. M., Evers, L. R., et al. (2022) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.12.012 · Cited by 2,862
Antar, S. A., Ashour, N. A., Sharaky, M., Khattab, M., Ashour, N. A., Zaid, R. T., Roh, E. J., Elkamhawy, A., & Al-Karmalawy, A. A. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.115734 · Cited by 622
Santos-Gallego, C. G., Vargas-Delgado, A. P., Requena-Ibanez, J. A., Garcia-Ropero, A., Mancini, D., Pinney, S., Macaluso, F., Sartori, S., Roque, M., Sabatel-Perez, F., et al. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.11.008 · Cited by 531
Metadata
- Authors
- Zelniker, T. A., & Braunwald, E.
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2020-02
- Volume
- 75
- Issue
- 4
- Pages
- 422-434
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W3003546904
- Cited by
- 566
- References
- 103
- FWCI
- 49.36
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Mechanisms of Cardiorenal Effects of Sodium-Glucose Cotransporter 2 Inhibitors. https://app.cochat.ai/papers/10.1016/j.jacc.2019.11.031
- The paper
- Zelniker, T. A., & Braunwald, E. (2020). Mechanisms of Cardiorenal Effects of Sodium-Glucose Cotransporter 2 Inhibitors. Journal of the American College of Cardiology. https://doi.org/10.1016/j.jacc.2019.11.031
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.
