Search Results - "de Lusignan, S"

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    Chronic kidney disease management in the United Kingdom: NEOERICA project results by Stevens, P.E., O'Donoghue, D.J., de Lusignan, S., Van Vlymen, J., Klebe, B., Middleton, R., Hague, N., New, J., Farmer, C.K.T.

    Published in Kidney international (01-07-2007)
    “…Early identification of patients with chronic kidney disease (CKD) may allow health-care systems to implement interventions aimed at decreasing disease…”
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    Obstructive sleep apnoea in Type 2 diabetes mellitus: increased risk for overweight as well as obese people included in a national primary care database analysis by Feher, M., Hinton, W., Munro, N., Lusignan, S.

    Published in Diabetic medicine (01-10-2019)
    “…Aims To determine obstructive sleep apnoea prevalence in people with Type 2 or Type 1 diabetes in a national primary care setting, stratified by BMI category,…”
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    Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature by Liaw, S.T, Rahimi, A, Ray, P, Taggart, J, Dennis, S, de Lusignan, S, Jalaludin, B, Yeo, A.E.T, Talaei-Khoei, A

    “…Highlights ► The data quality (DQ) field is fragmented and ontological approaches not commonly used. ► DQ is a multidimensional construct, the most used…”
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    Managing COVID-19 within and across health systems: why we need performance intelligence to coordinate a global response by Kringos, D, Carinci, F, Barbazza, E, Bos, V, Gilmore, K, Groene, O, Gulácsi, L, Ivankovic, D, Jansen, T, Johnsen, S P, de Lusignan, S, Mainz, J, Nuti, S, Klazinga, N

    Published in Health research policy and systems (14-07-2020)
    “…The COVID-19 pandemic is a complex global public health crisis presenting clinical, organisational and system-wide challenges. Different research perspectives…”
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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 by De Lusignan, S., Khunti, K., Belsey, J., Hattersley, A., Van Vlymen, J., Gallagher, H., Millett, C., Hague, N. J., Tomson, C., Harris, K., Majeed, A.

    Published in Diabetic medicine (01-02-2010)
    “…Diabet. Med. 27, 203–209 (2010) Aims  Incorrect classification, diagnosis and coding of the type of diabetes may have implications for patient management and…”
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    The epidemiology of alopecia areata: a population‐based cohort study in UK primary care by Harries, M., Macbeth, A.E., Holmes, S., Chiu, W.S., Gallardo, W.R., Nijher, M., Lusignan, S., Tziotzios, C., Messenger, A.G.

    Published in British journal of dermatology (1951) (01-02-2022)
    “…Summary Background There is a lack of population‐based information on the disease burden and management of alopecia areata (AA). Objectives To describe the…”
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    End-digit preference in blood pressure recordings of patients with ischaemic heart disease in primary care by DE LUSIGNAN, S, BELSEY, J, HAGUE, N, DZREGAH, B

    Published in Journal of human hypertension (01-04-2004)
    “…End-digit preference describes the disproportionate selection of specific end digits. The rounding of figures might lead to either an under- or over-recording…”
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    Ethnicity recording in general practice computer systems by Kumarapeli, P., Stepaniuk, R., de Lusignan, S., Williams, R., Rowlands, G.

    Published in Journal of public health (Oxford, England) (01-09-2006)
    “…Background Ethnicity data in general practice (GP) computerized medical records can be utilized to audit equity in health care. Methods We evaluated a patient…”
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    Association between glycaemic control and common infections in people with Type 2 diabetes: a cohort study by Hine, J. L., Lusignan, S., Burleigh, D., Pathirannehelage, S., McGovern, A., Gatenby, P., Jones, S., Jiang, D., Williams, J., Elliot, A. J., Smith, G. E., Brownrigg, J., Hinchliffe, R., Munro, N.

    Published in Diabetic medicine (01-04-2017)
    “…Aim To investigate the impact of glycaemic control on infection incidence in people with Type 2 diabetes. Methods We compared infection rates during 2014 in…”
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    Sodium–glucose co‐transporter‐2 inhibitor cardiovascular outcome trials and generalizability to English primary care by Hinton, W., Feher, M., Munro, N., Joy, M., Lusignan, S.

    Published in Diabetic medicine (01-09-2020)
    “…Aim To identify people in English primary care with equivalent cardiovascular risk to participants in the sodium–glucose co‐transporter‐2 inhibitor (SGLT‐2i)…”
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    An educational intervention, involving feedback of routinely collected computer data, to improve cardiovascular disease management in UK primary care by de Lusignan, S

    “…To report the lessons learned from eight years of feeding back routinely collected cardiovascular data in an educational context There are distinct educational…”
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    Miscoding, misclassification and misdiagnosis of diabetes in primary care by de Lusignan, S., Sadek, N., Mulnier, H., Tahir, A., Russell-Jones, D., Khunti, K.

    Published in Diabetic medicine (01-02-2012)
    “…Diabet. Med. 29, 181–189 (2012) Aims  To determine the effectiveness of self‐audit tools designed to detect miscoding, misclassification and misdiagnosis of…”
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    Significant spike in excess mortality in England in winter 2014/15 – influenza the likely culprit by Pebody, R. G., Green, H. K., Warburton, F., Sinnathamby, M., Ellis, J., Mølbak, K., Nielsen, J., de Lusignan, S., Andrews, N.

    Published in Epidemiology and infection (01-07-2018)
    “…Significant increases in excess all-cause mortality, particularly in the elderly, were observed during the winter of 2014/15 in England. With influenza A(H3N2)…”
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    Saving bones without risking brain—bisphosphonates and risk of stroke: matched case-control study by Asghar, Z. B., Godoy Caballero, A., Pathirannehelage, S., Williams, J., McKay, S., Grassby, P., de Lusignan, S., Niroshan Siriwardena, A.

    Published in Osteoporosis international (01-09-2019)
    “…Summary We investigated the association between bisphosphonate treatment and the risk of stroke using a large routine clinical dataset. We found no association…”
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