project proposal j paul sgctg
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Project Proposal J PAUL SGCTG SCOTROC4* demonstrated a statistical - PowerPoint PPT Presentation

Project Proposal J PAUL SGCTG SCOTROC4* demonstrated a statistical significant prognostic value for PFS for the following haematological parameters in a multivariable model:- Baseline neutrophils Difference between WBC and baseline


  1. Project Proposal J PAUL SGCTG

  2. SCOTROC4* demonstrated a statistical significant prognostic value for PFS for the following haematological parameters in a multivariable model:- ❖ Baseline neutrophils ❖ Difference between WBC and baseline neutrophils ❖ Baseline platelets The multivariable model also included the following clinical factors:- Performance status; stage; bulk of residual disease; type (epithelial, peritoneal, fallopian); bulk of residual disease; elevated CA125 *Ann Oncol. 2013 Mar;24(3):679-87. Banerjee S, Rustin G, Paul J et al A multicenter, randomized trial of flat dosing versus intrapatient dose escalation of single-agent carboplatin as first-line chemotherapy for advanced ovarian cancer: an SGCTG (SCOTROC 4) and ANZGOG study on behalf of GCIG

  3. Proposal ❖ Use the meta-analysis database to build a prognostic model for OS and PFS incorporating baseline haematological parameters and the clinical factors identified in the SCOTROC4 paper. This would be done in a development subset ❖ The model building would also explore the value of baseline biochemistry parameters previously identified as prognostic e.g. albumin and alk. phos. (Clark TG, Stewart ME, Altman DG, et al: A prognostic model for ovarian cancer. Br J Cancer 85::944,2001-952) ❖ To validate the model using a validation subset taken from meta-analysis database using appropriate methodology (e.g. Altman Douglas G, Vergouwe Yvonne, Royston Patrick, Moons Karel G M. Prognosis and prognostic research: validating a prognostic model BMJ 2009; 338 :b605) ❖ As part of the validation to quantify the contribution of the haematological parameters to the prognostic ability of the model ❖ Develop an validated online prognostic score based on the multivariable model for use in the clinic

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