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The Global Epidemiology of Diabetes and Kidney Disease
Open accessAbstract
The prevalence of diabetes is increasing worldwide, with the greatest increases occurring in low- and middle-income countries. In most developed countries, type 2 diabetes is presently the leading cause of end-stage renal disease and also contributes substantially to cardiovascular disease. In countries with weaker economies type 2 diabetes is rapidly replacing communicable diseases as a leading cause of kidney disease and is increasingly competing for scarce health care resources. Here, we present a narrative review of the prevalence and incidence of diabetes-related kidney disease worldwide. Mortality among those with diabetes and kidney disease will also be explored. Given the high morbidity and mortality associated with chronic kidney disease, we will also examine the level of awareness of this disease among people who have it.
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“It is noteworthy that age has been consistently validated in numerous studies as a pivotal predictor of DKD (5).”
From Machine learning-based risk predictive models for diabetic kidney disease in type 2 diabetes mellitus patients: a systematic review and meta-analysis (2025) · cites this paper as [5]
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Cites
Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,772
Ahmed, A., Jorna, T., & Bhandari, S. (2016) · The Nephron journals/Nephron journals · doi:10.1159/000447068 · Cited by 11,782
KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease
Stevens, P. E., Ahmed, S. B., Carrero, J. J., Foster, B., Francis, A., Hall, R. K., Herrington, W. G., Hill, G., Inker, L. A., Kazancıoğlu, R., et al. (2024) · Kidney International · doi:10.1016/j.kint.2023.10.018 · Cited by 8,530
Global estimates of the prevalence of diabetes for 2010 and 2030
Shaw, J. E., Sicree, R. A., & Zimmet, P. Z. (2010) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2009.10.007 · Cited by 7,216
Differential Diagnosis of Glomerular Disease: A Systematic and Inclusive Approach
Hebert, L. A., Parikh, S. M., Prosek, J. M., Nádasdy, T., & Rovin, B. H. (2013) · American Journal of Nephrology · doi:10.1159/000354390 · Cited by 4,392
Chronic kidney disease: global dimension and perspectives
Jha, V., Garcia-Garcia, G., Iseki, K., Li, Z., Naicker, S., Plattner, B., Saran, R., Wang, A. Y.-M., & Yang, C.-W. (2013) · The Lancet · doi:10.1016/s0140-6736(13)60687-x · Cited by 4,383
Zhou, B., Lu, Y., Hajifathalian, K., Bentham, J., Di Cesare, M., Danaei, G., Bixby, H., Cowan, M., Ali, M., Taddei, C., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)00618-8 · Cited by 4,311
Atkinson, M. A., Eisenbarth, G. S., & Michels, A. W. (2014) · The Lancet · doi:10.1016/s0140-6736(13)60591-7 · Cited by 2,931
Diabetes Mellitus, Fasting Glucose, and Risk of Cause-Specific Death
The Emerging Risk Factors Collaboration (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1008862 · Cited by 2,726
US Renal Data System 2016 Annual Data Report: Epidemiology of Kidney Disease in the United States
Saran, R., Robinson, B. M., Abbott, K. C., Agodoa, L. Y. C., Albertus, P., Ayanian, J. Z., Balkrishnan, R., Bragg‐Gresham, J. L., Cao, J., Chen, J. L. T., et al. (2017) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2016.12.004 · Cited by 2,192
Research works printed but not linked: 1
- 2018, 2017 USRDS Annual Data Report: Executive Summary. Chapter 2: Identification and Care of Patients With CKD, Am J Kidney Dis, 71, S31
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Items 101–200 of 684
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El‐Remessy, A. B. (2022) · Endocrines · doi:10.3390/endocrines3040066 · Cited by 33
Diao, Z., Yu, H., Wu, Y., Sun, Y., Tang, H., Wang, M., Li, N., Ge, H., Sun, J., & Gu, H. F. (2024) · Frontiers in Pharmacology · doi:10.3389/fphar.2023.1290868 · Cited by 27
Liu, H., Wang, J., Yue, G., & Xu, J. (2024) · Renal Failure · doi:10.1080/0886022x.2024.2303396 · Cited by 27
Finerenone: From the Mechanism of Action to Clinical Use in Kidney Disease
Piko, N., Bevc, S., Hojs, R., & Ekart, R. (2024) · Pharmaceuticals · doi:10.3390/ph17040418 · Cited by 32
Fukuda, T., Bouchi, R., Asakawa, M., Takeuchi, T., Shiba, K., Tsujimoto, K., Komiya, C., Yoshimoto, T., Ogawa, Y., & Yamada, T. (2019) · Diabetic Medicine · doi:10.1111/dme.14153 · Cited by 26
Roy, A., Maiti, A., Sinha, A., Baidya, A., Basu, A. K., Sarkar, D., Sanyal, D., Biswas, D., Maisnam, I., Pandit, K., et al. (2020) · Diabetes Therapy · doi:10.1007/s13300-020-00921-y · Cited by 27
Transforming the Care of Patients with Diabetic Kidney Disease
Brosius, F. C., Cherney, D. Z. I., Gee, P. O., Harris, R. C., Kliger, A. S., Tuttle, K. R., & Quaggin, S. E. (2021) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.18641120 · Cited by 28
MicroRNA-21 Silencing in Diabetic Nephropathy: Insights on Therapeutic Strategies
Dhas, Y., Arshad, N., Biswas, N., Jones, L., & Ashili, S. (2023) · Biomedicines · doi:10.3390/biomedicines11092583 · Cited by 27
Evaluation of urinary L-FABP as an early marker for diabetic nephropathy in type 2 diabetic patients
Ngan, D. T. T., Bình, N. G., Lan, L. T. H., Nguyen, C. T. T., & Huong, P. T. (2019) · Journal of Medical Biochemistry · doi:10.2478/jomb-2019-0037 · Cited by 27
Qi, B., Chen, Y., Chai, S., Lü, X., & Kang, L. (2024) · Diabetic Medicine · doi:10.1111/dme.15436 · Cited by 30
Qin, Y., Zhang, S., Shen, X., Zhang, S., Wang, J., Zuo, M., Cui, X., Gao, Z., Yang, J., Zhu, H., et al. (2019) · Therapeutic Advances in Endocrinology and Metabolism · doi:10.1177/2042018819891110 · Cited by 28
Sex-Specific Computational Models of Kidney Function in Patients With Diabetes
Swapnasrita, S., Carlier, A., & Layton, A. T. (2022) · Frontiers in Physiology · doi:10.3389/fphys.2022.741121 · Cited by 26
Iqbal, S., Jayyab, A. A., Alrashdi, A. M., & Reverté-Villarroya, S. (2023) · Endocrine Practice · doi:10.1016/j.eprac.2023.01.004 · Cited by 27
Cliff, C. L., Squires, P. E., & Hills, C. E. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01728-1 · Cited by 25
Perkins, B. A., Rabbani, N., Weston, A. J., Adaikalakoteswari, A., Lee, J. A., Lovblom, L. E., Cardinez, N., & Thornalley, P. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-69350-y · Cited by 25
Balint, L., Socaciu, C., Socaciu, A. I., Vlad, A., Gădălean, F., Bob, F. R., Milas, L. O., Cretu, O. M., Suteanu‐Simulescu, A., Glavan, M., et al. (2023) · Biomolecules · doi:10.3390/biom13071086 · Cited by 28
Lu, Y., An, T., Tian, H., Gao, X., Wang, F., Wang, S., & Ma, K. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.596362 · Cited by 26
Retinal microvascular signs and risk of diabetic kidney disease in asian and white populations
Nusinovici, S., Sabanayagam, C., Lee, K. E., Zhang, L., Cheung, C. Y.-L., Tai, E. S., Tan, G. S. W., Cheng, C., Klein, B. E. K., & Wong, T. Y. (2021) · Scientific Reports · doi:10.1038/s41598-021-84464-7 · Cited by 24
Sex-Related Aspects in Diabetic Kidney Disease—An Update
Loeffler, I., & Ziller, N. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12082834 · Cited by 24
The therapeutic effect of mesenchymal stem cells in diabetic kidney disease
Habiba, U. E., Khan, N., Greene, D. L., Shamim, S., & Umer, A. (2024) · Journal of Molecular Medicine · doi:10.1007/s00109-024-02432-w · Cited by 26
Waki, K., Nara, M., Enomoto, S., Mieno, M., Kanda, E., Sankoda, A., Kawai, Y., Miyake, K., Wakui, H., Tsurutani, Y., et al. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01114-8 · Cited by 26
Urinary Extracellular Vesicles for Diabetic Kidney Disease Diagnosis
Saenz‐Pipaon, G., Andueza, S. E., Orbe, J., & Roncal, C. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10102046 · Cited by 24
Novel approaches to hypoglycemia and burnt-out diabetes in chronic kidney disease
Rhee, C. M., Kalantar‐Zadeh, K., & Tuttle, K. R. (2021) · Current Opinion in Nephrology & Hypertension · doi:10.1097/mnh.0000000000000756 · Cited by 27
Fadini, G. P., Longato, E., Morieri, M. L., Bonora, E., Consoli, A., Fattor, B., Rigato, M., Turchi, F., Prato, S. D., Avogaro, A., et al. (2024) · Diabetologia · doi:10.1007/s00125-024-06251-z · Cited by 28
Li, Y., Jin, N., Zhan, Q., Huang, Y., Sun, A., Yin, F., Li, Z., Hu, J., & Liu, Z. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1495306 · Cited by 22
“While the diversity of data sources enriches the model ’ s input dimensions, it may also introduce issues related to data quality and consistency (5).”
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Jing, M., Cen, Y., Gao, F., Wang, T., Jiang, J., Jian, Q., Wu, L., Guo, B., Luo, F., Zhang, G., et al. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.680336 · Cited by 22
Rodríguez-Pérez, M. D., López-Villodres, J. A., Arrebola, M. M., Aurioles, E. M., Fernández‐Prior, Á., Oria, A. B., Ríos, M. C., Cruz, J. P. D. L., & Correa, J. A. G. (2021) · Antioxidants · doi:10.3390/antiox10111783 · Cited by 24
Protecting the Kidneys: Update on Therapies to Treat Diabetic Nephropathy
Davis, K. N., Hines, A., Schaefer, M. C., & Naseman, K. (2022) · Clinical Diabetes · doi:10.2337/cd21-0090 · Cited by 22
Joshi, R., Subedi, P., Yadav, G. K., Khadka, S., Rijal, T., Amgain, K., & Rajbhandari, S. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-067238 · Cited by 25
Liu, Y., An, C., Liu, P., Yang, F., & Zhao, Q. (2023) · Renal Failure · doi:10.1080/0886022x.2023.2217287 · Cited by 22
Liu, B., Li, L., Cui, H., Zhao, Q., & Chen, S. (2024) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2024.111884 · Cited by 26
Zhang, F., Shan, S., Fu, C.-L., Guo, S., Liu, C., & Wang, S. (2024) · Molecules · doi:10.3390/molecules29112530 · Cited by 22
Wang, M., Li, Q., Wang, S., Zuo, L., Hai, Y., Yuan, S., Li, X., Huang, X., Yang, C., Yao, L., et al. (2024) · Phytotherapy Research · doi:10.1002/ptr.8298 · Cited by 23
Next-generation therapeutics for diabetic kidney disease
Yi, T. W., Sridhar, V. S., Scott, J., Nardone, M., & Cherney, D. Z. I. (2026) · Nature Reviews Nephrology · doi:10.1038/s41581-025-01042-0 · Cited by 24
Meng, X., Song, M., Vilaj, M. Ć., Štambuk, J., Mamatyusupu, D., Zhang, J., Liu, D., Wang, H., Zhang, X., Zhang, J., et al. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11070614 · Cited by 21
Kolli, A., Seiler, K., Kamdar, N. S., Lott, L. B. D., Peterson, M. D., Meade, M. A., & Ehrlich, J. R. (2021) · American Journal of Ophthalmology · doi:10.1016/j.ajo.2021.09.004 · Cited by 21
Kale, A., Sankrityayan, H., Anders, H., & Gaikwad, A. B. (2021) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfab340 · Cited by 21
Narongkiatikhun, P., Chattipakorn, S. C., & Chattipakorn, N. (2021) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.17116 · Cited by 21
Chen, S., Du, K., Wang, S., Liang, C., Shang, Y., Xie, X., Tang, G., Li, J., Wang, B., Yu, X., et al. (2023) · ACS Sensors · doi:10.1021/acssensors.2c02122 · Cited by 21
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Kearney, J., & Gnudi, L. (2023) · Pharmaceutics · doi:10.3390/pharmaceutics15051343 · Cited by 22
Wang, H., Liu, J., Feng, Y., Ma, A., & Wang, T. (2023) · Frontiers in Epidemiology · doi:10.3389/fepid.2023.1048515 · Cited by 21
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Alturki, N. M., Altamimi, A., Umer, M., Saidani, O., Alshardan, A., Alsubai, S., Omar, M., & Ashraf, I. (2024) · Computer Modeling in Engineering & Sciences · doi:10.32604/cmes.2023.045868 · Cited by 21
Diabetes Mellitus and Pneumococcal Pneumonia
Cillóniz, C., & Torres, A. (2024) · Diagnostics · doi:10.3390/diagnostics14080859 · Cited by 21
Zhou, Y., Chi, J., Huang, Y., Dong, B., Lv, W., & Wang, Y. (2020) · Diabetic Medicine · doi:10.1111/dme.14411 · Cited by 20
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Cappetta, D., Angelis, A. D., Bellocchio, G., Telesca, M., Cianflone, E., Torella, D., Rossi, F., Urbanek, K., & Berrino, L. (2021) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.810791 · Cited by 21
The clinical potential of 1,5-anhydroglucitol as biomarker in diabetes mellitus
Xu, H., Chen, R., Hou, X., Li, N., Han, Y., & Ji, S. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1471577 · Cited by 20
Lei, L., Li, J., Ding, W., Wang, W., Yu, Y., Pu, B., Peng, Y., Zhang, L., & Guo, Y. (2025) · Cardiorenal Medicine · doi:10.1159/000546618 · Cited by 24
Zoppini, G., Bergamini, C., Mantovani, A., Dauriz, M., Targher, G., Rossi, A., & Bonora, E. (2018) · PLoS ONE · doi:10.1371/journal.pone.0209794 · Cited by 20
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Kourtidou, C., Stangou, M. J., Marinaki, S., & Τζιόμαλος, Κ. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222011196 · Cited by 20
Alsalemi, N., Sadowski, C. A., Elftouh, N., Louis, M., Kilpatrick, K., Houle, S. K. D., & Lafrance, J. (2022) · BMC Nephrology · doi:10.1186/s12882-022-02763-1 · Cited by 21
Li, S., Xie, H., Shi, Y., & Liu, H. (2022) · Medicine · doi:10.1097/md.0000000000031232 · Cited by 20
GLP-1 agonists in the treatment of chronic kidney disease in type 2 diabetes and obesity
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Anson, M., Henney, A. E., Edwards, H., Ibarburu, G. H., Mordi, I. R., Jaffar, S. S., Garrib, A. V., Lip, G. Y. H., Wang, D., Nabrdalik, K., et al. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112431 · Cited by 23
Jiang, G., Luk, A. O. Y., Tam, C. H. T., Ozaki, R., Lim, C. K. P., Chow, E., Lau, E. S. H., Kong, A. P. S., Fan, B., Hong Kong Diabetes Register TRS Study Group, et al. (2022) · Diabetes · doi:10.2337/db21-0694 · Cited by 19
Wei, R., Qiao, J., Cui, D., Pan, Q., & Guo, L. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.883658 · Cited by 20
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Chu, C., Behera, T. R., Huang, Y., Qiu, W., Chen, J., & Shen, Q. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2024.1490314 · Cited by 19
Korbut, A. I., Klimontov, V. V., Vinogradov, I. V., & Romanov, V. V. (2019) · World Journal of Diabetes · doi:10.4239/wjd.v10.i11.517 · Cited by 20
Glycosylation in kidney diseases
Ling, Y., Cai, F., Su, T., Zhong, Y., Li, L., Meng, B., Li, G., Gong, M., Yang, H., Xie, X., et al. (2025) · Precision Clinical Medicine · doi:10.1093/pcmedi/pbaf017 · Cited by 19
Pinedo-Torres, I. A., Flores-Fernández, M., Yovera-Aldana, M., Gutiérrez‐Ortiz, C., Zegarra-Lizana, P. A., Intimayta‐Escalante, C., Morán‐Mariños, C., Alva‐Díaz, C., & Pacheco‐Barrios, K. (2020) · Clinical Medicine Insights Endocrinology and Diabetes · doi:10.1177/1179551420962495 · Cited by 19
Liu, Y., Zhou, X., Zhou, D., Jian, Y., Jia, J., & Ge, F. (2022) · Molecules · doi:10.3390/molecules27185742 · Cited by 18
Plowman, T. J., Shah, M. H., Fernandez, E., Christensen, H., Aiges, M., & Ramana, K. V. (2022) · Current Molecular Medicine · doi:10.2174/1566524023666220922114701 · Cited by 19
Noninvasive Assessment of Diabetic Kidney Disease With MRI : Hype or Hope?
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da Costa, R. M., Dias, M. C., Alves, J. V., Silva, J. L. M., Rodrigues, D., da Silva, J. F., Francescato, H. D. C., Ramalho, L. N. Z., Coimbra, T. M., & Tostes, R. C. (2023) · Biochemical Pharmacology · doi:10.1016/j.bcp.2023.115982 · Cited by 19
Tu, Z., Du, J., Ge, X., Peng, W., Shen, L., Xia, L., Jiang, X., Hu, F., & Huang, S. (2024) · Diabetes Therapy · doi:10.1007/s13300-024-01609-3 · Cited by 20
Weng, W., Ge, T., Wang, Y., He, L., Liu, T., Wang, W., Zheng, Z., Yu, L., Zhang, C., & Lu, X. (2020) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2019.0089 · Cited by 18
Migdalis, I. N., Παπάνας, Ν., Raptis, A. E., Ioannidis, I., Sotiropoulos, A., & Dimitriadis, G. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108243 · Cited by 18
Arshad, A., Sarween, N., & Sharif, A. (2021) · Kidney International Reports · doi:10.1016/j.ekir.2021.06.029 · Cited by 19
Hu, J., Zhang, Z., Hu, H., Yang, K., Zhu, Z., Yang, Q., & Liang, W. (2023) · Cell Proliferation · doi:10.1111/cpr.13479 · Cited by 17
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‘Oxidative stress’-A new target in the management of diabetes mellitus
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Fucoidan MF4 from Fucus vesiculosus inhibits Lewis lung cancer via STING–TBK1–IRF3 pathway
Shi, C., Zhao, S., Mi, L., Niu, D., Hu, F., Han, W., & Li, B. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.131336 · Cited by 16
Hu, R., Zhao, Z., Xie, L., Ma, Z., Wu, W., & Li, S. (2025) · Frontiers in Medicine · doi:10.3389/fmed.2025.1531811 · Cited by 21
Liu, Y., Ye, S., Xiao, X., Zhou, T., Yang, S., Wang, G., Sun, C., Zhang, B., & Wang, G. (2019) · Infection and Drug Resistance · doi:10.2147/idr.s218536 · Cited by 16
Diao, M., Wu, Y., Yang, J., Liu, C., Xu, J., Jin, H., Wang, J., Zhang, J., Gao, F., Jin, C., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.843721 · Cited by 16
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Song, S., Hu, T., Shi, X. D., Jin, Y., Liu, S., Li, X., Zou, W., & Wang, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242417603 · Cited by 15
Zhakhina, G., Mussina, K., Yerdessov, S., Gusmanov, A., Sakko, Y., Kim, V., Syssoyev, D., Madikenova, M., Assan, A., Kuanshaliyeva, Z., et al. (2024) · Renal Failure · doi:10.1080/0886022x.2024.2326312 · Cited by 15
Construction of Risk Prediction Model of Type 2 Diabetic Kidney Disease Based on Deep Learning
Yun, C., Tang, F., Gao, Z., Wang, W., Bai, F., Miller, J. D., Liu, H., Lee, Y., & Lou, Q. (2024) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2023.0033 · Cited by 19
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Jacob, S. R., Raveendran, R., & Kannan, S. (2019) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_478_19 · Cited by 15
Price, G. W., Potter, J. A., Williams, B. M., Cliff, C. L., Squires, P. E., & Hills, C. E. (2019) · Experimental Physiology · doi:10.1113/ep087770 · Cited by 15
Liu, Y., Wen, H., Bai, J., Shi, F., Bi, R., & Yu, C. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.156495 · Cited by 14
Combination of canagliflozin and puerarin alleviates the lipotoxicity to diabetic kidney in mice
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Traditional Chinese medicine for the treatment of immune-related nephropathy: A review
Pu, J., Yao, C., & Guo, D. (2023) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2023.11.006 · Cited by 14
Liu, T., Jian, X., Li, L., Chu, S., & Fan, Z. (2023) · Kidney & Blood Pressure Research · doi:10.1159/000535208 · Cited by 15
Durma, A. D., Saracyn, M., Kołodziej, M., Jóźwik−Plebanek, K., Dmochowska, B., Kapusta, W., Żmudzki, W., Mróz, A., Kos‐Kudła, B., & Kamiński, G. (2023) · Cancers · doi:10.3390/cancers15225466 · Cited by 14
Kruger, D. F., & Valentine, V. (2020) · Diabetes Therapy · doi:10.1007/s13300-020-00826-w · Cited by 14
Liang, D., Mai, H., Ruan, F., & Fu, H. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.728758 · Cited by 14
Identification of Diabetes through Urine Using Gas Sensor and Convolutional Neural Network
(2021) · International journal of intelligent engineering and systems · doi:10.22266/ijies2022.0228.47 · Cited by 14
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Zhao, Y., Yan, G., Mi, J., Wang, G., Yu, M., Jin, D., Tong, X., & Wang, X. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/8400106 · Cited by 14
RetractedNataraj, M., Maiya, A. G., Nagaraju, S. P., Shastry, B. A., Shivashankara, K. N., Shetty, S., & Mayya, S. S. (2024) · International Urology and Nephrology · doi:10.1007/s11255-024-03987-w · Cited by 14
Zhu, Y., Sun, L., Guo, Z., Xin, P., Huang, F., Song, L., Man, Y., Ren, M., Ma, Z., & Wang, Y. (2025) · Renal Failure · doi:10.1080/0886022x.2025.2538117 · Cited by 13
Chen, B., Liu, J., Liu, X., Zhang, J., Zhong, Y., Wang, W., & Zhou, J. (2026) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5c03228 · Cited by 13
Luczynski, P., Holmes, T. W., Romanowski, K., Arbiv, O. A., Cook, V. J., Clark, E. G., & Johnston, J. C. (2023) · Clinical Infectious Diseases · doi:10.1093/cid/ciad364 · Cited by 15
Hirano, S., Ichikawa, Y., Sato, B., Takefuji, Y., & Satoh, F. (2023) · Biomedicines · doi:10.3390/biomedicines11102817 · Cited by 12
Rehman, A. U., Saba, T., Ali, H., ElHakim, N., & Ayesha, N. (2023) · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES · doi:10.55730/1300-0632.4028 · Cited by 13
Chen, D., Parks, C. G., Freeman, L. E. B., Hofmann, J. N., Sinha, R. R., Madrigal, J. M., Ward, M. H., & Sandler, D. P. (2024) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/s41370-023-00625-y · Cited by 17
Wan, K. S., Hairi, N. N., Mustapha, F. I., Yusoff, M. F. M., Rifin, H. M., Ismail, M., Moy, F. M., & Ahmad, N. A. (2024) · Scientific Reports · doi:10.1038/s41598-024-57723-6 · Cited by 13
Zhang, M., & Zheng, S. (2024) · World Journal of Diabetes · doi:10.4239/wjd.v15.i7.1562 · Cited by 13
Metadata
- Authors
- Koye, D. N., Magliano, D. J., Nelson, R. G., & Pavkov, M. E.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Corresponding author
- Pavkov, Meda E.
- Venue
- Advances in Chronic Kidney Disease
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 25
- Issue
- 2
- Pages
- 121-132
- ISSN
- 1548-5595 (ISSN-L)
- PMC
- PMC11000253
- OpenAlex
- W2790284551
- Cited by
- 686
- References
- 111
- Citations by year
- 2026: 79 · 2025: 111 · 2024: 137 · 2023: 109 · 2022: 101 · 2021: 78 · 2020: 44 · 2019: 19 · 2018: 7
- FWCI
- 6.35
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Advances in Chronic Kidney Disease (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (CC999999)
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Keywords
- diabetes mellitus, chronic kidney disease, type 2 diabetes, end-stage renal disease, diabetes prevalence, diabetes incidence, diabetes mortality, cardiovascular disease, low- and middle-income countries, disease awareness
- MeSH terms
- Diabetes Mellitus, Type 2, Diabetic Nephropathies, Humans, Global Health, Prevalence
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