Literature DB >> 12359196

The use of a prognostic table to aid decision making on adjuvant therapy for women with early breast cancer.

M Feldman1, R Stanford, A Catcheside, A Stotter.   

Abstract

AIM: Understanding the likely net benefit of chemotherapy for the individual patient helps physicians to give objective information. A prognostic table has been constructed detailing the percentage absolute survival advantage offered by polychemotherapy for patients with early breast cancer, according to their age and the Nottingham Prognostic Index of their tumour. This study aims to assess its first year of use in the Leicestershire Breast Unit.
METHOD: Demographic, pathological and treatment data were collected prospectively onto the Leicestershire breast cancer database. Patients with a potential survival advantage of 2% or greater in the year 01/05/99 to 30/04/00 (after the prognostic table was used routinely to determine oncology referrals) were identified. Chemotherapy usage was compared with the previous year's patient group.
RESULTS: Two hundred and eighty-eight had early breast cancer, requiring surgery, eligible for consideration of adjuvant therapy. Of these, 98% of women with a potential survival advantage of 6% or more received chemotherapy. Ninety-one percent of those with a survival advantage of 4% or more was seen by an oncologist. Of those with a 2% survival advantage, 48% were referred to discuss the issues with an oncologist. Use of the table resulted in increased chemotherapy rates for women with a 4% potential survival advantage.
CONCLUSIONS: We have found the prognostic table to be a useful and workable tool and advocate its use.

Entities:  

Mesh:

Substances:

Year:  2002        PMID: 12359196     DOI: 10.1053/ejso.2002.1300

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  6 in total

1.  A nonparametric updating method to correct clinical prediction model drift.

Authors:  Sharon E Davis; Robert A Greevy; Christopher Fonnesbeck; Thomas A Lasko; Colin G Walsh; Michael E Matheny
Journal:  J Am Med Inform Assoc       Date:  2019-12-01       Impact factor: 4.497

2.  Upregulation of MICA on high-grade invasive operable breast carcinoma.

Authors:  Zahra Madjd; Ian Spendlove; Robert Moss; Shaun Bevin; Sarah E Pinder; Nicholas F S Watson; Ian Ellis; Lindy G Durrant
Journal:  Cancer Immun       Date:  2007-10-22

3.  An increase in cell number at completion of therapy may develop as an indicator of early relapse: quantification of circulating epithelial tumor cells (CETC) for monitoring of adjuvant therapy in breast cancer.

Authors:  Katharina Pachmann; Robert Dengler; Kurt Lobodasch; Frank Fröhlich; Torsten Kroll; Matthias Rengsberger; Rene Schubert; Ulrich Pachmann
Journal:  J Cancer Res Clin Oncol       Date:  2007-07-05       Impact factor: 4.553

4.  Criteria for evaluating risk prediction of multiple outcomes.

Authors:  Frank Dudbridge
Journal:  Stat Methods Med Res       Date:  2020-06-29       Impact factor: 3.021

Review 5.  Prognosis Research Strategy (PROGRESS) 3: prognostic model research.

Authors:  Ewout W Steyerberg; Karel G M Moons; Danielle A van der Windt; Jill A Hayden; Pablo Perel; Sara Schroter; Richard D Riley; Harry Hemingway; Douglas G Altman
Journal:  PLoS Med       Date:  2013-02-05       Impact factor: 11.069

Review 6.  Meta-analysis confirms BCL2 is an independent prognostic marker in breast cancer.

Authors:  Grace M Callagy; Mark J Webber; Paul D P Pharoah; Carlos Caldas
Journal:  BMC Cancer       Date:  2008-05-29       Impact factor: 4.430

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.