The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Prevalence of chronic kidney disease in population-based studies: Systematic review
Open accessAbstract
BACKGROUND: Chronic kidney disease (CKD) is becoming a major public health problem worldwide. This article reviews the published evidence of prevalence of CKD in population-based study samples that used the standardized definition from the Kidney Disease Outcomes Quality Initiative of the National Kidney Foundation (K/DOQI) practice guideline, and particularly focus on performance of serum-creatinine based equations for GFR estimation. We provide a summary of available data about the burden of CKD in various populations. METHODS: We performed a systematic review of available published data in MEDLINE. A combination of various keywords relevant to CKD was used in this research. Related data of included studies were extracted in a systematic way. RESULTS: A total of 26 studies were included in this review. The studies were conducted in different populations, and the number of study participants ranged from 237 to 65181. The median prevalence of CKD was 7.2% in persons aged 30 years or older. In persons aged 64 years or older prevalence of CKD varied from 23.4% to 35.8%. Importantly, the prevalence of CKD strongly depended on which estimating equations were used. The Modification of Diet in Renal Disease Study (MDRD) equation was likely to be preferred in recent epidemiological studies compared to the adjusted Cockcroft-Gault (CG) equation. CONCLUSION: Worldwide, CKD is becoming a common disease in the general population. Accurately detecting CKD in special groups remains inadequate, particularly among elderly persons, females or other ethnic groups such as Asians.
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Levey, A. S., Bosch, J. P., Lewis, J. B., Greene, T., Rogers, N., Roth, D., & for the Modification of Diet in Renal Disease Study Group* (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-130-6-199903160-00002 · Cited by 15,079
Prevalence of Chronic Kidney Disease in the United States
Coresh, J., Selvin, E., Stevens, L. A., Manzi, J., Kusek, J. W., Eggers, P., Van Lente, F., & Levey, A. S. (2007) · JAMA · doi:10.1001/jama.298.17.2038 · Cited by 4,895
Lackland, D. T., Bendall, H. E., Osmond, C., Egan, B. M., & Barker, D. J. P. (2000) · Archives of Internal Medicine · doi:10.1001/archinte.160.10.1472 · Cited by 368
Cited by
Two Novel Equations to Estimate Kidney Function in Persons Aged 70 Years or Older
Schaeffner, E. S., Ebert, N., Delanaye, P., Frei, U., Gaedeke, J., Jakob, O., Kuhlmann, M. K., Schuchardt, M., Tölle, M., Ziebig, R., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-7-201210020-00003 · Cited by 632
Chronic kidney disease: a public health priority and harbinger of premature cardiovascular disease
Stenvinkel, P. (2010) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2010.02269.x · Cited by 332
Goek, O.-N., Prehn, C., Sekula, P., Römisch-Margl, W., Döring, A., Gieger, C., Heier, M., Koenig, W., Wang-Sattler, R., Illig, T., et al. (2013) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gft217 · Cited by 143
Serum Metabolite Concentrations and Decreased GFR in the General Population
Goek, O.-N., Döring, A., Gieger, C., Heier, M., Koenig, W., Prehn, C., Römisch-Margl, W., Wang-Sattler, R., Illig, T., Suhre, K., et al. (2012) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2012.01.014 · Cited by 121
Aira, T., Wang, W., Riedel, M., & Witte, S. S. (2013) · American Journal of Public Health · doi:10.2105/ajph.2012.301175 · Cited by 25
Metadata
- Authors
- Zhang, Q.-L., & Rothenbacher, D.
- Venue
- BMC Public Health
- Published
- 2008-04-11
- Volume
- 8
- Issue
- 1
- Pages
- 117-117
- ISSN
- 1471-2458 (ISSN-L)
- OpenAlex
- W1996387976
- Cited by
- 1,021
- References
- 3
- FWCI
- 4.73
- Type
- journal article
- Language
- en
- Open access
- gold
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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.