Today's top medical abstracts
Oncology
Become a Member Today!
Email
Password
Remember me
Forgot your Password?

Invite Code?

Home
General Oncology
For Practicing
Oncologists
Conferences
Jobs
Newsletters
My Library
Topics in
Oncology
        Alternative Therapies
        Anemia/Polycythemia
        BMT/SCT
        Basic Science/Genetics
        Bone/Cartilage
        Breast
        Carcinogenesis
        Coagulation/Bleeding Dz
        Colorectal Cancer/Polyps
        Dermatologic Oncology
        Diagnostics/Radiology
        Economics of Medicine
        Endocrine Oncology
        GI Oncology
        Gynecologic Oncology
        Head and Neck
        Hepatobiliary/Pancreas
        Leukemia/Lymphoma
        Lung/Thoracic Oncology
        Myeloproliferative Dz
        Neurologic Oncology
        Pain/Palliative Care
        Pediatric Heme/Oncology
        Pharmacology/Therapy
        Popular Press
        Renal/Urologic
        Side Effects
        Soft Tissue/Sarcoma
        Transfusion Medicine
 
Help
Resource Center
RSS News Feeds
Send Newsletter
to a Friend
 
Sponsor
For Practicing Oncologists
Providers Satisfied with Carriers/MACs
Roberta Buell, MBA, Sausalito Healthcare Partners
Cancer Science: Mutations in the ALK Receptor Kinase cause Neuroblastoma
Sara Hartley, MDLinx Oncology
Technology Advances: Laser Microscopy Offers Vista of Real-Time Cell Movements
Dorothy J. Schirf, MD, MDLinx Oncology
  See all
breast cancer prognosis;optimal body size Article Summary

Click the title below to leave the MDLinx Network and go to the Journal's Website
Overweight, obesity and breast cancer prognosis: optimal body size indicator cut-points
Breast Cancer Research and Treatment, 06/20/08
Print     Email This Article     Save in My Library   Free Abstract
Majed B et al. - In a study to explore whether use of different Body Size Indicators (BSI) and cut-points can be used to indicate prognosis in breast cancer, it was found that efficient, optimal BSI cut-points indicate a poorer prognosis

Methods
  • 14,709 women were recruited, treated and followed for a first unilateral breast cancer
  • After randomly splitting pts’ data into 2 groups, a maximum statistical outcome approach was used to select optimal BSI cut-points from a “training sample”
  • External validation was carried out using a “validation sample” and agreement between the selected optimal BSI cut-points was assessed
  • Body Mass Index (BMI), weight, Ideal Weight Ratio, and Body Surface Area were assessed at the time of diagnosis

Results
  • Selected optimal BSI cut-points were reliable when overall survival, metastasis recurrence, and disease free interval events were investigated
  • Chosen BMI cut-point values matched the overweight cut-point value
  • Agreement between defined binary BSI was acceptable; however, it varied from “fair” to “very good”
  • When local and node recurrence events were taken into account, results were inconsistent and were linked to an unconfirmed relationship between stoutness and these prognosis events

Sponsor
Read a Different Specialty
Allergy/Immunology
Anesthesiology
Cardiology
Dermatology
Drugs
Emergency Medicine
Endocrinology
ENT
Family Medicine
Gastroenterology
Hematology-Oncology
Infectious Disease
Internal Medicine
Nephrology
Neurology
OB/Gyn
Ophthalmology
Orthopedics
Pediatrics
Psychiatry
Pulmonology
Radiology
Rheumatology
Surgery
Urology
Profession Index
Dentist
Hospital Administrator
Nurse
    Medical Students
Nurse Practitioner
Pharma/Drug Marketer
    Pharmacist
Physician
Physician Assistants
Article Search
Keyword:
Search:
Published within:
Sort By:
Date Relevance
    
Sponsor
Sponsor
About MDLinx  |  Contact  |  Advertise with MDLinx  |  Site Map  |  Privacy Policy  |  Terms of Use  |  Sign Up For Newsletters  |  Recommend this Site

English |  Español |  Français |  Deutsch |  中文 |  Руccкий |  Norsk |  Nederlands |  Português |  Italiano

©1999-2008 MDLinx, Inc.