The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
CKD Prevalence Varies across the European General Population
Open accessAbstract
CKD prevalence estimation is central to CKD management and prevention planning at the population level. This study estimated CKD prevalence in the European adult general population and investigated international variation in CKD prevalence by age, sex, and presence of diabetes, hypertension, and obesity. We collected data from 19 general-population studies from 13 European countries. CKD stages 1–5 was defined as eGFR<60 ml/min per 1.73 m 2, as calculated by the CKD-Epidemiology Collaboration equation, or albuminuria >30 mg/g, and CKD stages 3–5 was defined as eGFR<60 ml/min per 1.73 m 2. CKD prevalence was age- and sex-standardized to the population of the 27 Member States of the European Union (EU27). We found considerable differences in both CKD stages 1–5 and CKD stages 3–5 prevalence across European study populations. The adjusted CKD stages 1–5 prevalence varied between 3.31% (95% confidence interval [95% CI], 3.30% to 3.33%) in Norway and 17.3% (95% CI, 16.5% to 18.1%) in northeast Germany. The adjusted CKD stages 3–5 prevalence varied between 1.0% (95% CI, 0.7% to 1.3%) in central Italy and 5.9% (95% CI, 5.2% to 6.6%) in northeast Germany. The variation in CKD prevalence stratified by diabetes, hypertension, and obesity status followed the same pattern as the overall prevalence. In conclusion, this large-scale attempt to carefully characterize CKD prevalence in Europe identified substantial variation in CKD prevalence that appears to be due to factors other than the prevalence of diabetes, hypertension, and obesity.
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Cites
A New Equation to Estimate Glomerular Filtration Rate
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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
Selection bias and information bias in clinical research
Tripepi, G., Jager, K. J., Dekker, F. W., & Zoccali, C. (2010) · Nephron Clinical Practice · doi:10.1159/000312871 · Cited by 425
Self-citationGenetic Differences between Five European Populations
Moskvina, V., Smith, M., Ivanov, D., Blackwood, D., StClair, D., Hultman, C., Toncheva, D., Gill, M., Corvin, A., O’Dushlaine, C., et al. (2010) · Human Heredity · doi:10.1159/000313854 · Cited by 38
Cited by
The Global Epidemiology of Diabetes and Kidney Disease
Koye, D. N., Magliano, D. J., Nelson, R. G., & Pavkov, M. E. (2018) · Advances in Chronic Kidney Disease · doi:10.1053/j.ackd.2017.10.011 · Cited by 686
Ene-Iordache, B., Perico, N., Bikbov, B., Carminati, S., Remuzzi, A., Perna, A., Islam, N., Bravo, R. F., Aleckovic-Halilovic, M., Zou, H., et al. (2016) · The Lancet Global Health · doi:10.1016/s2214-109x(16)00071-1 · Cited by 627
Trends in Prevalence of Chronic Kidney Disease in the United States
Murphy, D., McCulloch, C. E., Lin, F., Banerjee, T., Bragg-Gresham, J. L., Eberhardt, M. S., Morgenstern, H., Pavkov, M. E., Saran, R., Powe, N. R., et al. (2016) · Annals of Internal Medicine · doi:10.7326/m16-0273 · Cited by 616
Brunn, H., Arnold, G., Körner, W., Rippen, G., Steinhäuser, K. G., & Valentin, I. (2023) · Environmental Sciences Europe · doi:10.1186/s12302-023-00721-8 · Cited by 504
NAFLD as a driver of chronic kidney disease
Byrne, C. D., & Targher, G. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.01.013 · Cited by 449
Metadata
- Authors
- Brück, K., Stel, V. S., Gambaro, G., Hallan, S., Völzke, H., Ärnlöv, J., Kastarinen, M., Guessous, I., Vinhas, J., Stengel, B., Brenner, H., Chudek, J., Romundstad, S., Tomson, C., Gonzalez, A. O., Bello, A. K., Ferrieres, J., Palmieri, L., Browne, G., Capuano, V., Van Biesen, W., Zoccali, C., Gansevoort, R., Navis, G., Rothenbacher, D., Ferraro, P. M., Nitsch, D., Wanner, C., Jager, K. J., & and on behalf of the European CKD Burden Consortium
- Venue
- Journal of the American Society of Nephrology
- Published
- 2015-12-23
- Volume
- 27
- Issue
- 7
- Pages
- 2135-2147
- ISSN
- 1046-6673 (ISSN-L)
- 1533-3450
- OpenAlex
- W2204607192
- Cited by
- 586
- References
- 5
- FWCI
- 33.17
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: CKD Prevalence Varies across the European General Population. https://app.cochat.ai/papers/10.1681/asn.2015050542
- The paper
- Brück, K., Stel, V. S., Gambaro, G., Hallan, S., Völzke, H., Ärnlöv, J., Kastarinen, M., Guessous, I., Vinhas, J., Stengel, B., Brenner, H., Chudek, J., Romundstad, S., Tomson, C., Gonzalez, A. O., Bello, A. K., Ferrieres, J., Palmieri, L., Browne, G., . . . and on behalf of the European CKD Burden Consortium. (2016). CKD Prevalence Varies across the European General Population. Journal of the American Society of Nephrology. https://doi.org/10.1681/asn.2015050542
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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.