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Matthew J Oliver

Dados Biográficos

ID5540959
NOMEMatthew J Oliver
PRENOMESMatthew J
SOBRENOMEOliver
ASSINATURAOLIVER M J
AFILIAÇÕESWestern University
ORCID0000-0003-3334-0581
VERIFICADONão
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR2
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2010
ANO MAIS RECENTE DE PUBLICAÇÃO2011
ÍNDICE H0
  • Predicting the Risk of 1-Year Mortality in Incident Dialysis Patients

    Robert R Quinn, Andreas Laupacis et al.•ARTICLE•Medical Care•2011•Referências: 34

    BACKGROUND: Administrative databases are increasingly being used to study the incident dialysis population and have important advantages. However, traditional methods of risk adjustment have limitations in this patient population. OBJECTIVE: Our objective was to develop a prognostic index for 1-year mortality in incident dialysis patients using administrative data that was applicable to ambulatory patients, used objective definitions of candidate…

  • Using Administrative Datasets to Study Outcomes in Dialysis Patients

    Robert R Quinn, Andreas Laupacis et al.•ARTICLE•Medical Care•2010•Referências: 29

    BACKGROUND: The use of administrative health data and other secondary data sources to conduct research are increasing, and the quality of these data requires careful scrutiny to ensure that findings of studies based on them are accurate. METHODS: We conducted a multicenter, chart-abstraction study in Ontario, Canada to evaluate the ability of linked administrative databases to identify important baseline demographic and treatment information, cha…

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  • Using Administrative Datasets to Study Outcomes in Dialysis Patients

    Robert R Quinn, Andreas Laupacis et al.•ARTICLE•Medical Care•2010•Referências: 29

    BACKGROUND: The use of administrative health data and other secondary data sources to conduct research are increasing, and the quality of these data requires careful scrutiny to ensure that findings of studies based on them are accurate. METHODS: We conducted a multicenter, chart-abstraction study in Ontario, Canada to evaluate the ability of linked administrative databases to identify important baseline demographic and treatment information, cha…

  • Predicting the Risk of 1-Year Mortality in Incident Dialysis Patients

    Robert R Quinn, Andreas Laupacis et al.•ARTICLE•Medical Care•2011•Referências: 34

    BACKGROUND: Administrative databases are increasingly being used to study the incident dialysis population and have important advantages. However, traditional methods of risk adjustment have limitations in this patient population. OBJECTIVE: Our objective was to develop a prognostic index for 1-year mortality in incident dialysis patients using administrative data that was applicable to ambulatory patients, used objective definitions of candidate…

Chronic Kidney Disease and Diabetes (2 obras) · Computer Science (2 obras) · Dialysis (2 obras) · Emergency Medicine (2 obras) · Emergency Medicine (2 obras) · Intensive care medicine (2 obras) · Internal Medicine (2 obras) · Internal Medicine (2 obras) · Medicine (2 obras) · Acute Kidney Injury Research (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae