The validity of searching routinely collected general practice computer data to identify patients with chronic kidney disease (CKD): a manual review of 500 medical records.
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S. de Lusignan | D. O'donoghue | S. Hilton | P. Stevens | M. Walker | S. Anandarajah | Tracy Tai | D. O'Donoghue
[1] D L Crombie,et al. The problem of diagnostic variability in general practice. , 1992, Journal of epidemiology and community health.
[2] A. Levey,et al. A More Accurate Method To Estimate Glomerular Filtration Rate from Serum Creatinine: A New Prediction Equation , 1999, Annals of Internal Medicine.
[3] J. Cameron,et al. European best practice guidelines for the management of anaemia in patients with chronic renal failure. , 1999, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.
[4] Simon de Lusignan,et al. A Survey to Identify the Clinical Coding and Classification Systems Currently in Use Across Europe , 2001, MedInfo.
[5] F. Locatelli,et al. The importance of early detection of chronic kidney disease. , 2002, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.
[6] K Doqi,et al. clinical practice guidelines for chronic kidney disease : evaluation, classification, and stratification , 2002 .
[7] Simon de Lusignan,et al. Paperless practices: a report from a research network , 2002 .
[8] P. Roderick,et al. A population-based study of the incidence and outcomes of diagnosed chronic kidney disease. , 2003, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[9] G. Eknoyan,et al. Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. , 2003, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[10] T. Nickolas,et al. Awareness of kidney disease in the US population: findings from the National Health and Nutrition Examination Survey (NHANES) 1999 to 2000. , 2004, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[11] Tom Chan,et al. Problems with primary care data quality: osteoporosis as an exemplar. , 2004, Informatics in primary care.
[12] P. Stevens,et al. Unreferred chronic kidney disease: a longitudinal study. , 2004, American journal of kidney diseases : the official journal of the National Kidney Foundation.
[13] D. Bates,et al. Comprehensive computerised primary care records are an essential component of any national health information strategy: report from an international consensus conference. , 2004, Informatics in primary care.
[14] Tom Chan,et al. Identifying patients with chronic kidney disease from general practice computer records. , 2005, Family practice.
[15] Simon de Lusignan,et al. Codes, classifications, terminologies and nomenclatures: definition, development and application in practice. , 2005 .
[16] S. de Lusignan. Codes, classifications, terminologies and nomenclatures: definition, development and application in practice. , 2005, Informatics in primary care.
[17] C. Weel,et al. The use of routinely collected computer data for research in primary care: opportunities and challenges. , 2006, Family practice.