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S de Lusignan

Researcher at St George's, University of London

Publications -  21
Citations -  888

S de Lusignan is an academic researcher from St George's, University of London. The author has contributed to research in topics: Diabetes mellitus & Renal function. The author has an hindex of 9, co-authored 21 publications receiving 836 citations. Previous affiliations of S de Lusignan include University of Surrey & Royal College of General Practitioners.

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Journal ArticleDOI

Chronic kidney disease management in the United Kingdom: NEOERICA project results.

TL;DR: It is suggested that stage 3-5 CKD is easily detected in existing computerized records and the associated comorbidity and management is readily available enabling intervention and targeting of specialist resources.
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A method of identifying and correcting miscoding, misclassification and misdiagnosis in diabetes: a pilot and validation study of routinely collected data.

TL;DR: Incorrect classification, diagnosis and coding of the type of diabetes may have implications for patient management and limit our ability to measure quality as mentioned in this paper, and the aim of the study was to measure the accuracy of diabetes diagnostic data and explore the scope for identifying errors.
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Assessing the prevalence, monitoring and management of chronic kidney disease in patients with diabetes compared with those without diabetes in general practice.

TL;DR: To compare rates of chronic kidney disease in patients with diabetes and management of risk factors compared with people without diabetes using general practice computer records, and to assess the utility of serum creatinine and albuminuria as markers of impaired renal function.
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Uptake and impact of a new live attenuated influenza vaccine programme in England: early results of a pilot in primary school-age children, 2013/14 influenza season.

TL;DR: Although influenza activity was low, a consistent, though not statistically significant, decrease in cumulative disease incidence and influenza positivity across different indicators was seen in pilot relative to non-pilot areas in both targeted and non-targeted age groups, except in older age groups where no difference was observed for secondary care indicators.
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Ethnicity recording in general practice computer systems.

TL;DR: Recording of data using multiple coding hierarchies has reduced the utility of data as clinically important ethnic subgroups cannot be identified and practitioners should be encouraged to use the single recommended ethnicity coding hierarchy.