首页> PloS one> Quantifying the impact of clinical coding in chronic kidney disease on risk of death and COVID-19 death.

Quantifying the impact of clinical coding in chronic kidney disease on risk of death and COVID-19 death.

导出 OA

翻译打印收藏纠错

第一作者： Stuart,Stewart

第一单位： Donal O'Donoghue Renal Research Centre, Research & Innovation, Northern Care Alliance NHS Foundation Trust, Salford, England, United Kingdom.;Centre for Primary Care & Health Services Research, University of Manchester, Manchester, England, United Kingdom.;Division of Cardiovascular Sciences, University of Manchester, Manchester, England, United Kingdom.

作者： Stuart,Stewart ^[1] ; Philip A,Kalra ^[2] ; Evangelos,Kontopantelis ^[3] ; Tom,Blakeman ^[4] ; George,Tilston ^[5] ; Smeeta,Sinha ^[2]

作者单位： Donal O'Donoghue Renal Research Centre, Research & Innovation, Northern Care Alliance NHS Foundation Trust, Salford, England, United Kingdom.;Centre for Primary Care & Health Services Research, University of Manchester, Manchester, England, United Kingdom.;Division of Cardiovascular Sciences, University of Manchester, Manchester, England, United Kingdom. ^[1] Donal O'Donoghue Renal Research Centre, Research & Innovation, Northern Care Alliance NHS Foundation Trust, Salford, England, United Kingdom.;Division of Cardiovascular Sciences, University of Manchester, Manchester, England, United Kingdom. ^[2] Centre for Primary Care & Health Services Research, University of Manchester, Manchester, England, United Kingdom. ^[3] Centre for Primary Care & Health Services Research, University of Manchester, Manchester, England, United Kingdom.;National Institute for Health and Care Research (NIHR) Greater Manchester Patient Safety Research Collaboration (GM PSRC), Manchester, England, United Kingdom. ^[4] National Institute for Health and Care Research (NIHR) Manchester Biomedical Research Centre, University of Manchester, England, United Kingdom. ^[5]