ArticleBMC nephrology2013
Predicting the prevalence of chronic kidney disease in the English population: a cross-sectional study.
Article in BMC nephrology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 38 citations in OpenAlex.
- External validation of six clinical models for prediction of chronic kidney disease in a German population.BMC nephrology · 2022Article
- Article
- Prevalence of chronic kidney disease in the community using data from OxRen: a UK population-based cohort study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020Observational
- An ontological approach to identifying cases of chronic kidney disease from routine primary care data: a cross-sectional study.BMC nephrology · 2018Article
- Prevalence of chronic kidney disease associated with cardiac and vascular complications in hypertensive patients: a multicenter, nation-wide study in Thailand.BMC nephrology · 2017Article
- Article
- Results of a novel screening tool measuring dietary sodium knowledge in patients with chronic kidney disease.BMC nephrology · 2015Article
- Prevalence and variation of Chronic Kidney Disease in the Irish health system: initial findings from the National Kidney Disease Surveillance Programme.BMC nephrology · 2014Observational
- Waist to height ratio is an independent predictor for the incidence of chronic kidney disease.PloS one · 2014Article
- Relationship between estimated glomerular filtration rate, albuminuria, and oxidant status in the Japanese population.BMC nephrology · 2013Article
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is concern that not all cases of chronic kidney disease (CKD) are known to general practitioners, leading to an underestimate of its true prevalence. We carried out this study to develop a model to predict the prevalence of CKD using a large English primary care dataset which includes previously undiagnosed cases of CKD.
methodsCross-sectional analysis of data from the Quality Improvement in CKD trial, a representative sample of 743 935 adults in England aged 18 and over. We created multivariable logistic regression models to identify important predictive factors.
resultsA prevalence of 6.76% was recorded in our sample, compared to a national prevalence of 4.3%. Increasing age, female gender and cardiovascular disease were associated with a significantly increased prevalence of CKD (p < 0.001 for all). Age had a complex association with CKD. Cardiovascular disease was a stronger predictive factor in younger than in older patients. For example, hypertension has an odds ratio of 2.02 amongst patients above average and an odds ratio of 3.91 amongst patients below average age.
conclusionIn England many cases of CKD remain undiagnosed. It is possible to use the results of this study to identify areas with high levels of undiagnosed CKD and groups at particular risk of having CKD.
trial registrationCurrent Controlled Trials ISRCTN: ISRCTN56023731. Note that this study reports the results of a cross-sectional analysis of data from this trial.
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