Literature DB >> 22981891

The value of comparative effectiveness research: projected return on investment of the RxPONDER trial (SWOG S1007).

William B Wong1, Scott D Ramsey, William E Barlow, Louis P Garrison, David L Veenstra.   

Abstract

OBJECTIVE: The objective of this study was to assess the value of research of the RxPONDER study, an ongoing comparative effectiveness RCT designed to evaluate a 21-gene profile in early stage, node-positive breast cancer.
METHODS: We developed a disease-based decision-analytic model to compare use of the 21-gene profile versus standard care. Key clinical data were derived from SWOG-8814, an RCT of chemotherapy in lymph node-positive breast cancer. Other model parameters were obtained from published sources. Probabilistic simulations and value of information calculations were used to assess the expected value of sample information (EVSI) and the expected value of sample parameter information (EVSPI).
RESULTS: The cost of the RxPONDER trial is expected to be at least $27 million. The expected value of research of the RxPONDER trial ranged from $450 million to $1 billion, representing a return of 17 to 39 times the projected cost of the trial. The primary objective of RxPONDER, to assess survival, had the largest estimated value relative to other model inputs. The value of RxPONDER increased by $50 million to $100 million after stakeholder input on additional data collection.
CONCLUSION: The RxPONDER study appears to represent a good investment of public research funds. Stakeholder engagement and assessment of the return on investment should be considered to optimize and quantify the value of comparative effectiveness studies.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22981891      PMCID: PMC3486702          DOI: 10.1016/j.cct.2012.08.006

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  28 in total

1.  The irrelevance of inference: a decision-making approach to the stochastic evaluation of health care technologies.

Authors:  K Claxton
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2.  Gene expression profiling and breast cancer care: what are the potential benefits and policy implications?

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3.  30 years' follow up of randomised studies of adjuvant CMF in operable breast cancer: cohort study.

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Journal:  BMJ       Date:  2005-01-13

Review 4.  Recommendations of the Panel on Cost-effectiveness in Health and Medicine.

Authors:  M C Weinstein; J E Siegel; M R Gold; M S Kamlet; L B Russell
Journal:  JAMA       Date:  1996-10-16       Impact factor: 56.272

5.  The cost of adjuvant chemotherapy in patients with early-stage breast carcinoma.

Authors:  Nina Oestreicher; Scott D Ramsey; Jeannine S McCune; Hannah M Linden; David L Veenstra
Journal:  Cancer       Date:  2005-11-15       Impact factor: 6.860

6.  Economic evaluation of genomic test-directed chemotherapy for early-stage lymph node-positive breast cancer.

Authors:  Peter S Hall; Christopher McCabe; Robert C Stein; David Cameron
Journal:  J Natl Cancer Inst       Date:  2011-12-02       Impact factor: 13.506

7.  The impact of the 21-gene recurrence score assay on decision making about adjuvant chemotherapy in early-stage estrogen-receptor-positive breast cancer in an oncology practice with a unified treatment policy.

Authors:  D B Geffen; S Abu-Ghanem; N Sion-Vardy; R Braunstein; M Tokar; S Ariad; B Delgado; M Bayme; M Koretz
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8.  Can differences in breast cancer utilities explain disparities in breast cancer care?

Authors:  Mark D Schleinitz; Dina DePalo; Jeffrey Blume; Michael Stein
Journal:  J Gen Intern Med       Date:  2006-09-01       Impact factor: 5.128

9.  Efficacy and cost effectiveness of adjuvant chemotherapy in women with node-negative breast cancer. A decision-analysis model.

Authors:  B E Hillner; T J Smith
Journal:  N Engl J Med       Date:  1991-01-17       Impact factor: 91.245

10.  Expected value of sample information calculations in medical decision modeling.

Authors:  A E Ades; G Lu; K Claxton
Journal:  Med Decis Making       Date:  2004 Mar-Apr       Impact factor: 2.583

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  17 in total

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Authors:  Suzanne C O'Neill; Claudine Isaacs; Calvin Chao; Huei-Ting Tsai; Chunfu Liu; Bola F Ekezue; Nandini Selvam; Larry G Kessler; Marc D Schwartz; Tania Lobo; Arnold L Potosky
Journal:  J Natl Compr Canc Netw       Date:  2015-10       Impact factor: 11.908

2.  Development and Evaluation of an Approach to Using Value of Information Analyses for Real-Time Prioritization Decisions Within SWOG, a Large Cancer Clinical Trials Cooperative Group.

Authors:  Caroline S Bennette; David L Veenstra; Anirban Basu; Laurence H Baker; Scott D Ramsey; Josh J Carlson
Journal:  Med Decis Making       Date:  2016-03-24       Impact factor: 2.583

3.  21-Gene Recurrence Score Adds Significant Value for Grade 3 Breast Cancers: Results From a National Cohort.

Authors:  Elizabeth A Mittendorf; Jane E Brock; J Bryan Iorgulescu; Rachel A Freedman; Susan C Lester
Journal:  JCO Precis Oncol       Date:  2019-08-14

4.  Prognostic value of the 21-gene recurrence score for regional recurrence in patients with estrogen receptor-positive breast cancer.

Authors:  Minji Koh; Jinhong Jung; Su Ssan Kim; Seung Do Ahn; Eun Kyung Choi; Il Yong Chung; Jong Won Lee; Sung-Bae Kim; Jae Ho Jeong
Journal:  Breast Cancer Res Treat       Date:  2021-04-23       Impact factor: 4.872

Review 5.  Integrating comparative effectiveness design elements and endpoints into a phase III, randomized clinical trial (SWOG S1007) evaluating oncotypeDX-guided management for women with breast cancer involving lymph nodes.

Authors:  Scott D Ramsey; William E Barlow; Ana M Gonzalez-Angulo; Sean Tunis; Laurence Baker; John Crowley; Patricia Deverka; David Veenstra; Gabriel N Hortobagyi
Journal:  Contemp Clin Trials       Date:  2012-09-18       Impact factor: 2.226

6.  Prospective Validation of a 21-Gene Expression Assay in Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Edith A Perez; John A Olson; JoAnne Zujewski; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Peter Ravdin; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; James N Atkins; Jeffrey L Berenberg; George W Sledge
Journal:  N Engl J Med       Date:  2015-09-27       Impact factor: 91.245

7.  Adjuvant Chemotherapy Guided by a 21-Gene Expression Assay in Breast Cancer.

Authors:  Joseph A Sparano; Robert J Gray; Della F Makower; Kathleen I Pritchard; Kathy S Albain; Daniel F Hayes; Charles E Geyer; Elizabeth C Dees; Matthew P Goetz; John A Olson; Tracy Lively; Sunil S Badve; Thomas J Saphner; Lynne I Wagner; Timothy J Whelan; Matthew J Ellis; Soonmyung Paik; William C Wood; Peter M Ravdin; Maccon M Keane; Henry L Gomez Moreno; Pavan S Reddy; Timothy F Goggins; Ingrid A Mayer; Adam M Brufsky; Deborah L Toppmeyer; Virginia G Kaklamani; Jeffrey L Berenberg; Jeffrey Abrams; George W Sledge
Journal:  N Engl J Med       Date:  2018-06-03       Impact factor: 91.245

8.  Lymph node involvement: Positive about the role of the recurrence score in estrogen-driven breast cancer?

Authors:  Kevin Kalinsky; Ruth M O'Regan
Journal:  Cancer       Date:  2018-11-02       Impact factor: 6.860

9.  Impact of the 21-gene recurrence score assay on chemotherapy decision making and outcomes for breast cancer patients with four or more positive lymph nodes.

Authors:  Qing-Hong Zhang; Wen-Wen Zhang; Jun Wang; Chen-Lu Lian; Jia-Yuan Sun; Zhen-Yu He; San-Gang Wu
Journal:  Ann Transl Med       Date:  2019-09

10.  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

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