The DOI matches its Crossref record; 137 of the 137 references it cites were found in a registry or an index.
Cardiovascular disease in type 2 diabetes mellitus: progress toward personalized management
Open accessAbstract
Cardiovascular diseases (CVDs) are the main cause of death among patients with type 2 diabetes mellitus (T2DM), particularly in low- and middle-income countries. To effectively prevent the development of CVDs in T2DM, considerable effort has been made to explore novel preventive approaches, individualized glycemic control and cardiovascular risk management (strict blood pressure and lipid control), together with recently developed glucose-lowering agents and lipid-lowering drugs. This review mainly addresses the important issues affecting the choice of antidiabetic agents and lipid, blood pressure and antiplatelet treatments considering the cardiovascular status of the patient. Finally, we also discuss the changes in therapy principles underlying CVDs in T2DM.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Cardiovascular disease (CVD) remains a significant threat to people with obesity and type 2 diabetes (T2D), with a two to three times higher incidence compared to people without diabetes or obesity [1, 2].”
From Treatment with orforglipron, an oral glucagon-like peptide-1 receptor agonist, is associated with improvements of CV risk biomarkers in participants with type 2 diabetes or obesity without diabetes (2025) · cites this paper as [1]
Experimental — accuracy not yet measured
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
Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes
Zinman, B., Wanner, C., Lachin, J. M., Fitchett, D., Bluhmki, E., Hantel, S., Mattheus, M., Devins, T., Johansen, O. E., Woerle, H. J., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504720 · Cited by 12,315
Zhang, Q., Wang, C., Zheng, M., Li, Y., Li, J., Zhang, L., Shang, X., & Yan, C. (2014) · Cerebrovascular Diseases · doi:10.1159/000369778 · Cited by 11,609
Self-citationStratton, I. M. (2000) · BMJ · doi:10.1136/bmj.321.7258.405 · Cited by 9,059
Canagliflozin and Cardiovascular and Renal Events in Type 2 Diabetes
Neal, B., Perkovic, V., Mahaffey, K. W., de Zeeuw, D., Fulcher, G., Erondu, N., Shaw, W., Law, G., Desai, M., & Matthews, D. R. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1611925 · Cited by 7,830
10-year follow-up of intensive glucose control in type 2 diabetes
Holman, R. R., Paul, S. K., Bethel, M. A., Matthews, D. R., & Neil, H. A. W. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0806470 · Cited by 7,751
Collaboration, A. T. (2002) · BMJ · doi:10.1136/bmj.324.7329.71 · Cited by 6,943
Cholesterol Treatment Trialists' (CTT) Collaboration (2010) · The Lancet · doi:10.1016/s0140-6736(10)61350-5 · Cited by 6,550
(1996) · The Lancet · doi:10.1016/s0140-6736(96)09457-3 · Cited by 6,503
Research works printed but not linked: 2
- Cosentino F, Grant PJ, Aboyans V, Bailey CJ, Ceriello A, Delgado V, Federici M, Filippatos G, Grobbee DE, Hansen TB, et al. 2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J. 2020;41(2):255–323. · DOI · Paper page
- Disease C, Management R. Standards of medical care in diabetes-2019. Diabetes Care. 2019;42(Suppl 1):S103-s123.
Cited by
Sorted by citations
Caturano, A., Rocco, M. P., Tagliaferri, G., Piacevole, A., Nilo, D., Lorenzo, G. D., Iadicicco, I., Donnarumma, M., Galiero, R., Acierno, C., et al. (2025) · Antioxidants · doi:10.3390/antiox14010072 · Cited by 178
Scisciola, L., Cataldo, V., Taktaz, F., Fontanella, R. A., Pesapane, A., Ghosh, P., Franzese, M., Puocci, A., Angelis, A. D., Sportiello, L., et al. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.1008922 · Cited by 135
Jubaidi, F. F., Zainalabidin, S., Taib, I. S., Hamid, Z. A., Anuar, N. N. M., Jalil, J., Nor, N. A. M., & Budin, S. B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158582 · Cited by 116
Diabetes and its complications: molecular mechanisms, prevention and treatment
Zhao, L., Yuan, J., Yang, Q., Ma, J., Yang, F., Zou, Y., Liu, K., & Liu, F. (2026) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02401-w · Cited by 80
“…as statins and PCSK9 inhibitors, particularly angiopoietin-like 3 antibodies and antisense oligonucleotide therapy, signi fi cantly reduce cardiovascular risk 76,259,260 and provide additional bene fi ts beyond cholesterol reduction, including anti-in fl ammatory and endothelial protective effects.”
Wang, Z., He, H., Xie, Y., Li, J., Luo, F., Sun, Z., Zheng, S., Yang, F., Li, X.-X., Chen, X., et al. (2024) · Cardiovascular Diabetology · doi:10.1186/s12933-024-02158-6 · Cited by 54
“Moreover, increasing research has revealed indicators of IR to be valuable predictors for the severity and prognosis of diabetes mellitus (DM) 、 heart failure 、 coronary heart disease (CHD) [8–10].”
Background
Metadata
- Authors
- Ma, C.-X., Ma, X.-N., Guan, C.-H., Li, Y.-D., Mauricio, D., & Fu, S.-B.
- Venue
- Cardiovascular Diabetology
- Published
- 2022-05-14
- Volume
- 21
- Issue
- 1
- Pages
- 74-74
- ISSN
- 1475-2840 (ISSN-L)
- PMC
- PMC9107726
- OpenAlex
- W4280586315
- Cited by
- 464
- References
- 137
- Citations by year
- 2026: 97 · 2025: 153 · 2024: 137 · 2023: 69 · 2022: 8
- FWCI
- 13.31
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Cardiovascular Diabetology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) (submittedVersion, cc-by)
- Lanzhou University Institutional Repository (submittedVersion, cc-by-nc-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- the Lanzhou Chengguan District Science and Technology Plan Project (2021-9-19)
- the hospital fund of the First Hospital of Lanzhou University (ldyyyn2020-93)
- the Construction Program of Gansu Provincial Clinical Medical Research Center for Endocrine Diseases (20JR10FA667)
- the Special Funds of Science and Technology Development of the Chinese Central Government to guide Local (1004TCYA032)
- the Gansu Provincial Natural Science Foundation (20JR10RA681)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- type 2 diabetes, cardiovascular disease, personalized medicine, cardiovascular risk management, glycemic control, blood pressure control, lipid-lowering therapy, glucose-lowering agents, antiplatelet therapy, cardiovascular disease prevention, low- and middle-income countries
- MeSH terms
- Blood Glucose, Blood Pressure, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Humans, Hypoglycemic Agents, Lipids
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