Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Matthew J Oliver

Biographic Data

ID5540959
NAMEMatthew J Oliver
GIVEN NAMESMatthew J
FAMILY NAMEOliver
SIGNATUREOLIVER M J
AFFILIATIONSSunnybrook Health Science Centre
ORCID0000-0003-3334-0581
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2010
LATEST PUBLICATION YEAR2011
H-INDEX0
  • Predicting the Risk of 1-Year Mortality in Incident Dialysis Patients

    Robert R Quinn, Andreas Laupacis et al.•ARTICLE•Medical Care•2011•References: 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•References: 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…

No prominent works on this page.

  • Using Administrative Datasets to Study Outcomes in Dialysis Patients

    Robert R Quinn, Andreas Laupacis et al.•ARTICLE•Medical Care•2010•References: 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•References: 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 works) · Computer Science (2 works) · Dialysis (2 works) · Emergency Medicine (2 works) · Emergency Medicine (2 works) · Intensive care medicine (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Acute Kidney Injury Research (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae