BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

174 related articles for article (PubMed ID: 22212006)

  • 1. Using the Johns Hopkins' Aggregated Diagnosis Groups (ADGs) to predict 1-year mortality in population-based cohorts of patients with diabetes in Ontario, Canada.
    Austin PC; Shah BR; Newman A; Anderson GM
    Diabet Med; 2012 Sep; 29(9):1134-41. PubMed ID: 22212006
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a population-based cohort of adults with schizophrenia in Ontario, Canada.
    Austin PC; Newman A; Kurdyak PA
    Psychiatry Res; 2012 Mar; 196(1):32-7. PubMed ID: 22364931
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a general adult population cohort in Ontario, Canada.
    Austin PC; van Walraven C; Wodchis WP; Newman A; Anderson GM
    Med Care; 2011 Oct; 49(10):932-9. PubMed ID: 21478773
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The mortality risk score and the ADG score: two points-based scoring systems for the Johns Hopkins aggregated diagnosis groups to predict mortality in a general adult population cohort in Ontario, Canada.
    Austin PC; Walraven Cv
    Med Care; 2011 Oct; 49(10):940-7. PubMed ID: 21921849
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparative ability of comorbidity classification methods for administrative data to predict outcomes in patients with chronic obstructive pulmonary disease.
    Austin PC; Stanbrook MB; Anderson GM; Newman A; Gershon AS
    Ann Epidemiol; 2012 Dec; 22(12):881-7. PubMed ID: 23121992
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of comorbidity classification methods for predicting outcomes in a population-based cohort of adults with human immunodeficiency virus infection.
    Antoniou T; Ng R; Glazier RH; Kopp A; Austin PC
    Ann Epidemiol; 2014 Jul; 24(7):532-7. PubMed ID: 24837611
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and validation of a model that uses enhanced administrative data to predict mortality in patients with sepsis.
    Lagu T; Lindenauer PK; Rothberg MB; Nathanson BH; Pekow PS; Steingrub JS; Higgins TL
    Crit Care Med; 2011 Nov; 39(11):2425-30. PubMed ID: 22005222
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development and initial validation of a risk score for predicting in-hospital and 1-year mortality in patients with hip fractures.
    Jiang HX; Majumdar SR; Dick DA; Moreau M; Raso J; Otto DD; Johnston DW
    J Bone Miner Res; 2005 Mar; 20(3):494-500. PubMed ID: 15746995
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The Kaiser Permanente inpatient risk adjustment methodology was valid in an external patient population.
    van Walraven C; Escobar GJ; Greene JD; Forster AJ
    J Clin Epidemiol; 2010 Jul; 63(7):798-803. PubMed ID: 20004550
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Impact of diabetes and gender on survival after acute myocardial infarction in the Province of Quebec, Canada--a population-based study.
    Ouhoummane N; Abdous B; Emond V; Poirier P
    Diabet Med; 2009 Jun; 26(6):609-16. PubMed ID: 19538236
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Risk adjustment performance of Charlson and Elixhauser comorbidities in ICD-9 and ICD-10 administrative databases.
    Li B; Evans D; Faris P; Dean S; Quan H
    BMC Health Serv Res; 2008 Jan; 8():12. PubMed ID: 18194561
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Development of an epilepsy-specific risk adjustment comorbidity index.
    St Germaine-Smith C; Liu M; Quan H; Wiebe S; Jette N
    Epilepsia; 2011 Dec; 52(12):2161-7. PubMed ID: 22004000
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Risk-adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases.
    Escobar GJ; Greene JD; Scheirer P; Gardner MN; Draper D; Kipnis P
    Med Care; 2008 Mar; 46(3):232-9. PubMed ID: 18388836
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Burden of illness score for elderly persons: risk adjustment incorporating the cumulative impact of diseases, physiologic abnormalities, and functional impairments.
    Inouye SK; Bogardus ST; Vitagliano G; Desai MM; Williams CS; Grady JN; Scinto JD
    Med Care; 2003 Jan; 41(1):70-83. PubMed ID: 12544545
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comorbidities, healthcare service utilization and costs for patients identified with painful DPN in a managed-care setting.
    Ritzwoller DP; Ellis JL; Korner EJ; Hartsfield CL; Sadosky A
    Curr Med Res Opin; 2009 Jun; 25(6):1319-28. PubMed ID: 19419344
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mortality in co-morbidity (II)--excess death rates derived from a follow-up study on 10,025 subjects divided into 4 groups with or without depression and diabetes mellitus.
    Milano AF; Singer RB
    J Insur Med; 2007; 39(3):160-6. PubMed ID: 18251374
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting the risk of 1-year mortality in incident dialysis patients: accounting for case-mix severity in studies using administrative data.
    Quinn RR; Laupacis A; Hux JE; Oliver MJ; Austin PC
    Med Care; 2011 Mar; 49(3):257-66. PubMed ID: 21301370
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of the predictive validity of diagnosis-based risk adjusters for clinical outcomes.
    Petersen LA; Pietz K; Woodard LD; Byrne M
    Med Care; 2005 Jan; 43(1):61-7. PubMed ID: 15626935
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The Society of Thoracic Surgeons 2008 cardiac surgery risk models: part 1--coronary artery bypass grafting surgery.
    Shahian DM; O'Brien SM; Filardo G; Ferraris VA; Haan CK; Rich JB; Normand SL; DeLong ER; Shewan CM; Dokholyan RS; Peterson ED; Edwards FH; Anderson RP;
    Ann Thorac Surg; 2009 Jul; 88(1 Suppl):S2-22. PubMed ID: 19559822
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Propensity analysis of long-term survival after surgical or percutaneous revascularization in patients with multivessel coronary artery disease and high-risk features.
    Brener SJ; Lytle BW; Casserly IP; Schneider JP; Topol EJ; Lauer MS
    Circulation; 2004 May; 109(19):2290-5. PubMed ID: 15117846
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.