The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Analysis of the Global Burden of Disease study highlights the global, regional, and national trends of chronic kidney disease epidemiology from 1990 to 2016
Open accessAbstract
The last quarter century witnessed significant population growth, aging, and major changes in epidemiologic trends, which may have shaped the state of chronic kidney disease (CKD) epidemiology. Here, we used the Global Burden of Disease study data and methodologies to describe the change in burden of CKD from 1990 to 2016 involving incidence, prevalence, death, and disability-adjusted-life-years (DALYs). Globally, the incidence of CKD increased by 89% to 21,328,972 (uncertainty interval 19,100,079- 23,599,380), prevalence increased by 87% to 275,929,799 (uncertainty interval 252,442,316-300,414,224), death due to CKD increased by 98% to 1,186,561 (uncertainty interval 1,150,743-1,236,564), and DALYs increased by 62% to 35,032,384 (uncertainty interval 32,622,073-37,954,350). Measures of burden varied substantially by level of development and geography. Decomposition analyses showed that the increase in CKD DALYs was driven by population growth and aging. Globally and in most Global Burden of Disease study regions, age-standardized DALY rates decreased, except in High-income North America, Central Latin America, Oceania, Southern Sub-Saharan Africa, and Central Asia, where the increased burden of CKD due to diabetes and to a lesser extent CKD due to hypertension and other causes outpaced burden expected by demographic expansion. More of the CKD burden (63%) was in low and lower-middle-income countries. There was an inverse relationship between age-standardized CKD DALY rate and health care access and quality of care. Frontier analyses showed significant opportunities for improvement at all levels of the development spectrum. Thus, the global toll of CKD is significant, rising, and unevenly distributed; it is primarily driven by demographic expansion and in some regions a significant tide of diabetes. Opportunities exist to reduce CKD burden at all levels of development.
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Vos, T., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulkader, R. S., Abdulle, A. M., Abebo, T. A., Abera, S. F., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32154-2 · Cited by 13,220
Self-citationNaghavi, M., Abajobir, A. A., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abera, S. F., Aboyans, V., Adetokunboh, O., Afshin, A., Agrawal, A., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32152-9 · Cited by 4,821
Self-citationChronic 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
Mills, K. T., Bundy, J. D., Kelly, T. N., Reed, J. E., Kearney, P. M., Reynolds, K., Chen, J., & He, J. (2016) · Circulation · doi:10.1161/circulationaha.115.018912 · Cited by 3,531
Zhou, B., Bentham, J., Di Cesare, M., Bixby, H., Danaei, G., Cowan, M. J., Paciorek, C. J., Singh, G., Hajifathalian, K., Bennett, J. E., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(16)31919-5 · Cited by 2,579
Gakidou, E., Afshin, A., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulle, A. M., Abera, S. F., Aboyans, V., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32366-8 · Cited by 2,406
Self-citationGlobal Burden of Hypertension and Systolic Blood Pressure of at Least 110 to 115 mm Hg, 1990-2015
Forouzanfar, M. H., Liu, P., Roth, G. A., Ng, M., Biryukov, S., Marczak, L., Alexander, L., Estep, K., Hassen Abate, K., Akinyemiju, T. F., et al. (2017) · JAMA · doi:10.1001/jama.2016.19043 · Cited by 2,381
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Foreman, K. J., Lozano, R., Lopez, A. D., & Murray, C. J. (2012) · Population Health Metrics · doi:10.1186/1478-7954-10-1 · Cited by 564
High Density Lipoprotein Cholesterol and the Risk of All-Cause Mortality among U.S. Veterans
Bowe, B., Xie, Y., Xian, H., Balasubramanian, S., Zayed, M. A., & Al-Aly, Z. (2016) · Clinical Journal of the American Society of Nephrology · doi:10.2215/cjn.00730116 · Cited by 213
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Jager, K. J., Kovesdy, C., Langham, R., Rosenberg, M., Jha, V., & Zoccali, C. (2019) · Kidney International · doi:10.1016/j.kint.2019.07.012 · Cited by 957
Cao, F., Xu, Z., Li, X.-X., Fu, Z.-Y., Han, R.-Y., Zhang, J.-L., Wang, P., Hou, S., & Pan, H.-F. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102382 · Cited by 291
Tuttle, K. R., Alicic, R. Z., Duru, O. K., Jones, C. R., Daratha, K. B., Nicholas, S. B., McPherson, S. M., Neumiller, J. J., Bell, D. S., Mangione, C. M., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.18169 · Cited by 275
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Metadata
- Authors
- Xie, Y., Bowe, B., Mokdad, A. H., Xian, H., Yan, Y., Li, T., Maddukuri, G., Tsai, C.-Y., Floyd, T., & Al-Aly, Z.
- Venue
- Kidney International
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 94
- Issue
- 3
- Pages
- 567-581
- ISSN
- 0085-2538 (ISSN-L)
- OpenAlex
- W2886250128
- Cited by
- 1,391
- References
- 9
- FWCI
- 55.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Xie, Y., Bowe, B., Mokdad, A. H., Xian, H., Yan, Y., Li, T., Maddukuri, G., Tsai, C.-Y., Floyd, T., & Al-Aly, Z. (2018). Analysis of the Global Burden of Disease study highlights the global, regional, and national trends of chronic kidney disease epidemiology from 1990 to 2016. Kidney International. https://doi.org/10.1016/j.kint.2018.04.011
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