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Assessing the severity of Type 2 diabetes using clinical data-based measures: a systematic review.
Zghebi, S S; Panagioti, M; Rutter, M K; Ashcroft, D M; van Marwijk, H; Salisbury, C; Chew-Graham, C A; Buchan, I; Qureshi, N; Peek, N; Mallen, C; Mamas, M; Kontopantelis, E.
Afiliación
  • Zghebi SS; Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester.
  • Panagioti M; NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester.
  • Rutter MK; Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester.
  • Ashcroft DM; NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester.
  • van Marwijk H; Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester.
  • Salisbury C; Manchester Diabetes Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre (MAHSC), Manchester, Manchester.
  • Chew-Graham CA; NIHR School for Primary Care Research, Centre for Primary Care, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester.
  • Buchan I; Centre for Pharmacoepidemiology and Drug Safety, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester.
  • Qureshi N; Division of Primary Care and Public Health, Brighton and Sussex Medical School, University of Brighton, Brighton.
  • Peek N; Centre for Academic Primary Care, Department of Population Health Sciences, Bristol Medical School, Bristol.
  • Mallen C; Research Institute for Primary Care and Health Sciences, Keele University, Staffordshire.
  • Mamas M; Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre (MAHSC), University of Manchester, Manchester.
  • Kontopantelis E; Health eResearch Centre, Division of Informatics, Imaging and Data Science, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester.
Diabet Med ; 36(6): 688-701, 2019 06.
Article en En | MEDLINE | ID: mdl-30672017
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 / Técnicas de Diagnóstico Endocrino / Reglas de Decisión Clínica Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Adult / Humans Idioma: En Revista: Diabet Med Asunto de la revista: ENDOCRINOLOGIA Año: 2019 Tipo del documento: Article
Texto completo
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Diabetes Mellitus Tipo 2 / Técnicas de Diagnóstico Endocrino / Reglas de Decisión Clínica Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Adult / Humans Idioma: En Revista: Diabet Med Asunto de la revista: ENDOCRINOLOGIA Año: 2019 Tipo del documento: Article