Literature DB >> 21741831

The cost-effectiveness of adjuvant chemotherapy for early breast cancer: A comparison of no chemotherapy and first, second, and third generation regimens for patients with differing prognoses.

H E Campbell1, D Epstein, D Bloomfield, S Griffin, A Manca, J Yarnold, J Bliss, L Johnson, H Earl, C Poole, L Hiller, J Dunn, P Hopwood, P Barrett-Lee, P Ellis, D Cameron, A L Harris, A M Gray, M J Sculpher.   

Abstract

BACKGROUND: The risk of recurrence following surgery in women with early breast cancer varies, depending upon prognostic factors. Adjuvant chemotherapy reduces this risk; however, increasingly effective regimens are associated with higher costs and toxicity profiles, making it likely that different regimens may be cost-effective for women with differing prognoses. To investigate this we performed a cost-effectiveness analysis of four treatment strategies: (1) no chemotherapy, (2) chemotherapy using cyclophosphamide, methotrexate, and fluorouracil (CMF) (a first generation regimen), (3) chemotherapy using Epirubicin-CMF (E-CMF) or fluorouracil, epirubicin, and cyclophosphamide (FEC60) (a second generation regimens), and (4) chemotherapy with FEC60 followed by docetaxel (FEC-D) (a third generation regimen). These adjuvant chemotherapy regimens were used in three large UK-led randomised controlled trials (RCTs).
METHODS: A Markov model was used to simulate the natural progression of early breast cancer and the impact of chemotherapy on modifying this process. The probability of a first recurrent event within the model was estimated for women with different prognostic risk profiles using a parametric regression-based survival model incorporating established prognostic factors. Other probabilities, treatment effects, costs and quality of life weights were estimated primarily using data from the three UK-led RCTs, a meta-analysis of all relevant RCTs, and other published literature. The model predicted the lifetime costs, quality adjusted life years (QALYs) and cost-effectiveness of the four strategies for women with differing prognoses. Sensitivity analyses investigated the impact of uncertain parameters and model assumptions.
FINDINGS: For women with an average to high risk of recurrence (based upon prognostic factors and any other adjuvant therapies received), FEC-D appeared most cost-effective assuming a threshold of £20,000 per QALY for the National Health Service (NHS). For younger low risk women, E-CMF/FEC60 tended to be the optimal strategy and, for some older low risk women, the model suggested a policy of no chemotherapy was cost-effective. For no patient group was CMF chemotherapy the preferred option. Sensitivity analyses demonstrated cost-effectiveness results to be particularly sensitive to the treatment effect estimate for FEC-D and the future price of docetaxel.
INTERPRETATION: To our knowledge, this analysis is the first cost-effectiveness comparison of no chemotherapy, and first, second, and third generation adjuvant chemotherapy regimens for early breast cancer patients with differing prognoses. The results demonstrate the potential for different treatment strategies to be cost-effective for different types of patients. These findings may prove useful for policy makers attempting to formulate cost-effective treatment guidelines in the field of early breast cancer.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21741831     DOI: 10.1016/j.ejca.2011.06.019

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  11 in total

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Authors:  S Pérez Ramírez; M Del Monte-Millán; S López-Tarruella; N Martínez Jáñez; I Márquez-Rodas; F Lobo Samper; Y Izarzugaza Perón; C Rubio Terres; D Rubio Rodríguez; J Á García-Sáenz; F Moreno Antón; P Zamora Auñón; M Arroyo Yustos; M Á Lara Álvarez; E M Ciruelos Gil; L Manso Sánchez; M J Echarri González; J A Guerra Martínez; C Jara Sánchez; C Bueno Muiño; S García Adrián; J R Carrión Galindo; V Valentín Maganto; M Martín
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2.  Preliminary Development and Evaluation of an Algorithm to Identify Breast Cancer Chemotherapy Toxicities Using Electronic Medical Records and Administrative Data.

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Journal:  J Oncol Pract       Date:  2014-08-26       Impact factor: 3.840

3.  A Value of Information Analysis of Research on the 21-Gene Assay for Breast Cancer Management.

Authors:  Natalia R Kunst; Fernando Alarid-Escudero; A David Paltiel; Shi-Yi Wang
Journal:  Value Health       Date:  2019-08-07       Impact factor: 5.101

4.  Clinical utility of the IHC4+C score in oestrogen receptor-positive early breast cancer: a prospective decision impact study.

Authors:  B Yeo; L Zabaglo; M Hills; A Dodson; I Smith; M Dowsett
Journal:  Br J Cancer       Date:  2015-07-16       Impact factor: 7.640

5.  Changing case Order to Optimise patterns of Performance in mammography Screening (CO-OPS): study protocol for a randomized controlled trial.

Authors:  Sian Taylor-Phillips; Matthew G Wallis; Helen Parsons; Janet Dunn; Nigel Stallard; Helen Campbell; Sarah Sellars; Ala Szczepura; Simon Gates; Aileen Clarke
Journal:  Trials       Date:  2014-01-10       Impact factor: 2.279

6.  Personalized treatment of women with early breast cancer: a risk-group specific cost-effectiveness analysis of adjuvant chemotherapy accounting for companion prognostic tests OncotypeDX and Adjuvant!Online.

Authors:  Beate Jahn; Ursula Rochau; Christina Kurzthaler; Michael Hubalek; Rebecca Miksad; Gaby Sroczynski; Mike Paulden; Marvin Bundo; David Stenehjem; Diana Brixner; Murray Krahn; Uwe Siebert
Journal:  BMC Cancer       Date:  2017-10-16       Impact factor: 4.430

7.  Cost-Effectiveness of Neoadjuvant-Adjuvant Treatment Strategies for Women With ERBB2 (HER2)-Positive Breast Cancer.

Authors:  Natalia Kunst; Shi-Yi Wang; Annette Hood; Sarah S Mougalian; Michael P DiGiovanna; Kerin Adelson; Lajos Pusztai
Journal:  JAMA Netw Open       Date:  2020-11-02

8.  Adjuvant epirubicin followed by cyclophosphamide, methotrexate and fluorouracil (CMF) vs CMF in early breast cancer: results with over 7 years median follow-up from the randomised phase III NEAT/BR9601 trials.

Authors:  H M Earl; L Hiller; J A Dunn; A-L Vallier; S J Bowden; S D Jordan; F Blows; A Munro; S Bathers; R Grieve; D A Spooner; R Agrawal; I Fernando; A M Brunt; S M O'Reilly; S M Crawford; D W Rea; P Simmonds; J L Mansi; A Stanley; K McAdam; L Foster; R C F Leonard; C J Twelves; D Cameron; J M S Bartlett; P Pharoah; E Provenzano; C Caldas; C J Poole
Journal:  Br J Cancer       Date:  2012-09-11       Impact factor: 7.640

Review 9.  Optimal approach in early breast cancer: Radiation therapy.

Authors:  Philip Poortmans
Journal:  EJC Suppl       Date:  2013-09

Review 10.  Unremarked or Unperformed? Systematic Review on Reporting of Validation Efforts of Health Economic Decision Models in Seasonal Influenza and Early Breast Cancer.

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Journal:  Pharmacoeconomics       Date:  2016-09       Impact factor: 4.981

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