Literature DB >> 20172365

The use of central laboratories and remote electronic data capture to risk-adjust therapy for pediatric acute lymphoblastic leukemia and neuroblastoma.

Meenakshi Devidas1, Wendy B London, James R Anderson.   

Abstract

The Children's Oncology Group (COG) is a National Cancer Institute (NIH)-sponsored cooperative clinical trials group with the primary mission of conducting pediatric cancer clinical trials. COG has complex risk classification systems that are used to deliver risk-stratified therapy for many pediatric cancers, including clinical trials for acute lymphoblastic leukemia (ALL) and neuroblastoma (NB). Classification of patients is based on biological, clinical, and genomic data obtained at initial diagnosis and during the initial phases of therapy. The COG Web-based remote data entry (RDE) system enables submission of data in real time from central laboratories and treating institutions. The data are then used in an automated fashion to determine the risk group and corresponding treatment assignment for individual patients enrolled in COG clinical trials. Copyright 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20172365      PMCID: PMC2843557          DOI: 10.1053/j.seminoncol.2009.12.007

Source DB:  PubMed          Journal:  Semin Oncol        ISSN: 0093-7754            Impact factor:   4.929


  1 in total

1.  Risk- and response-based classification of childhood B-precursor acute lymphoblastic leukemia: a combined analysis of prognostic markers from the Pediatric Oncology Group (POG) and Children's Cancer Group (CCG).

Authors:  Kirk R Schultz; D Jeanette Pullen; Harland N Sather; Jonathan J Shuster; Meenakshi Devidas; Michael J Borowitz; Andrew J Carroll; Nyla A Heerema; Jeffrey E Rubnitz; Mignon L Loh; Elizabeth A Raetz; Naomi J Winick; Stephen P Hunger; William L Carroll; Paul S Gaynon; Bruce M Camitta
Journal:  Blood       Date:  2006-09-26       Impact factor: 22.113

  1 in total
  1 in total

1.  Radiomics: Images Are More than Pictures, They Are Data.

Authors:  Robert J Gillies; Paul E Kinahan; Hedvig Hricak
Journal:  Radiology       Date:  2015-11-18       Impact factor: 11.105

  1 in total

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