Literature DB >> 20855801

Stool DNA testing to screen for colorectal cancer in the Medicare population: a cost-effectiveness analysis.

Iris Lansdorp-Vogelaar1, Karen M Kuntz, Amy B Knudsen, Janneke A Wilschut, Ann G Zauber, Marjolein van Ballegooijen.   

Abstract

BACKGROUND: The Centers for Medicare & Medicaid Services considered whether to reimburse stool DNA testing for colorectal cancer screening among Medicare enrollees.
OBJECTIVE: To evaluate the conditions under which stool DNA testing could be cost-effective compared with the colorectal cancer screening tests currently reimbursed by the Centers for Medicare & Medicaid Services.
DESIGN: Comparative microsimulation modeling study using 2 independently developed models. DATA SOURCES: Derived from literature. TARGET POPULATION: A cohort of persons aged 65 years. A sensitivity analysis was also conducted, in which a cohort of persons aged 50 years was studied. TIME HORIZON: Lifetime. PERSPECTIVE: Third-party payer. INTERVENTION: Stool DNA test every 3 or 5 years in comparison with currently recommended colorectal cancer screening strategies. OUTCOME MEASURES: Life expectancy, lifetime costs, incremental cost-effectiveness ratios, and threshold costs. RESULTS OF BASE-CASE ANALYSIS: Assuming a cost of $350 per test, strategies of stool DNA testing every 3 or 5 years yielded fewer life-years and higher costs than the currently recommended colorectal cancer screening strategies. Screening with the stool DNA test would be cost-effective at a per-test cost of $40 to $60 for stool DNA testing every 3 years, depending on the simulation model used. There were no levels of sensitivity and specificity for which stool DNA testing would be cost-effective at its current cost of $350 per test. Stool DNA testing every 3 years would be cost-effective at a cost of $350 per test if the relative adherence to stool DNA testing were at least 50% better than that with other screening tests. RESULTS OF SENSITIVITY ANALYSIS: None of the results changed substantially when a cohort of persons aged 50 years was considered. LIMITATION: No pathways other than the traditional adenoma-carcinoma sequence were modeled.
CONCLUSION: Stool DNA testing could be a cost-effective alternative for colorectal cancer screening if the cost of the test substantially decreased or if its availability would entice a large fraction of otherwise unscreened persons to receive screening.

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Year:  2010        PMID: 20855801      PMCID: PMC3578600          DOI: 10.7326/0003-4819-153-6-201009210-00004

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  48 in total

1.  Polyps of the colon in Barcelona, Spain. An autopsy study.

Authors:  J A Bombi
Journal:  Cancer       Date:  1988-04-01       Impact factor: 6.860

2.  Enhanced retrieval of DNA from human fecal samples results in improved performance of colorectal cancer screening test.

Authors:  Duncan Whitney; Joel Skoletsky; Kent Moore; Kevin Boynton; Lisa Kann; Randall Brand; Sapna Syngal; Michael Lawson; Anthony Shuber
Journal:  J Mol Diagn       Date:  2004-11       Impact factor: 5.568

3.  Prevalence of polyps in an autopsy series from areas with varying incidence of large-bowel cancer.

Authors:  J C Clark; Y Collan; T J Eide; J Estève; S Ewen; N M Gibbs; O M Jensen; E Koskela; R MacLennan; J G Simpson
Journal:  Int J Cancer       Date:  1985-08-15       Impact factor: 7.396

4.  A novel hypothesis on the sensitivity of the fecal occult blood test: Results of a joint analysis of 3 randomized controlled trials.

Authors:  Iris Lansdorp-Vogelaar; Marjolein van Ballegooijen; Rob Boer; Ann Zauber; J Dik F Habbema
Journal:  Cancer       Date:  2009-06-01       Impact factor: 6.860

5.  Polyps and cancer of the large bowel: a necropsy study in Liverpool.

Authors:  A R Williams; B A Balasooriya; D W Day
Journal:  Gut       Date:  1982-10       Impact factor: 23.059

6.  Risk of colorectal cancer in adenoma-bearing individuals within a defined population.

Authors:  T J Eide
Journal:  Int J Cancer       Date:  1986-08-15       Impact factor: 7.396

7.  Adenomatous lesions of the large bowel: an autopsy survey.

Authors:  R R Rickert; O Auerbach; L Garfinkel; E C Hammond; J M Frasca
Journal:  Cancer       Date:  1979-05       Impact factor: 6.860

8.  Fecal DNA testing compared with conventional colorectal cancer screening methods: a decision analysis.

Authors:  Kenneth Song; A Mark Fendrick; Uri Ladabaum
Journal:  Gastroenterology       Date:  2004-05       Impact factor: 22.682

9.  The prevalence of polyps of the large intestine in Oslo: an autopsy study.

Authors:  M H Vatn; H Stalsberg
Journal:  Cancer       Date:  1982-02-15       Impact factor: 6.860

10.  A simplified, noninvasive stool DNA test for colorectal cancer detection.

Authors:  Steven Itzkowitz; Randall Brand; Lina Jandorf; Kris Durkee; John Millholland; Linda Rabeneck; Paul C Schroy; Stephen Sontag; David Johnson; Sanford Markowitz; Lawrence Paszat; Barry M Berger
Journal:  Am J Gastroenterol       Date:  2008-08-27       Impact factor: 10.864

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  35 in total

1.  Cost-effectiveness of High-performance Biomarker Tests vs Fecal Immunochemical Test for Noninvasive Colorectal Cancer Screening.

Authors:  Iris Lansdorp-Vogelaar; S Lucas Goede; Linda J W Bosch; Veerle Melotte; Beatriz Carvalho; Manon van Engeland; Gerrit A Meijer; Harry J de Koning; Marjolein van Ballegooijen
Journal:  Clin Gastroenterol Hepatol       Date:  2017-07-18       Impact factor: 11.382

2.  Evaluating Parameter Uncertainty in a Simulation Model of Cancer Using Emulators.

Authors:  Tiago M de Carvalho; Eveline A M Heijnsdijk; Luc Coffeng; Harry J de Koning
Journal:  Med Decis Making       Date:  2019-06-10       Impact factor: 2.583

Review 3.  The value of models in informing resource allocation in colorectal cancer screening: the case of The Netherlands.

Authors:  Frank van Hees; Ann G Zauber; Harriët van Veldhuizen; Marie-Louise A Heijnen; Corine Penning; Harry J de Koning; Marjolein van Ballegooijen; Iris Lansdorp-Vogelaar
Journal:  Gut       Date:  2015-06-10       Impact factor: 23.059

4.  A framework for evaluating the cost-effectiveness of patient decision aids: A case study using colorectal cancer screening.

Authors:  Scott B Cantor; Tanya Rajan; Suzanne K Linder; Robert J Volk
Journal:  Prev Med       Date:  2015-05-12       Impact factor: 4.018

5.  Building better models: if we build them, will policy makers use them? Toward integrating modeling into health care decisions.

Authors:  Jeanne Mandelblatt; Clyde Schechter; David Levy; Ann Zauber; Yaojen Chang; Ruth Etzioni
Journal:  Med Decis Making       Date:  2012 Sep-Oct       Impact factor: 2.583

6.  A systematic comparison of microsimulation models of colorectal cancer: the role of assumptions about adenoma progression.

Authors:  Karen M Kuntz; Iris Lansdorp-Vogelaar; Carolyn M Rutter; Amy B Knudsen; Marjolein van Ballegooijen; James E Savarino; Eric J Feuer; Ann G Zauber
Journal:  Med Decis Making       Date:  2011-06-14       Impact factor: 2.583

7.  Colorectal cancer and Crohn's colitis: clinical implications from 313 surgical patients.

Authors:  Stefano Scaringi; Carmela Di Martino; Daniela Zambonin; Marilena Fazi; Giuseppe Canonico; Francesca Leo; Ferdinando Ficari; Francesco Tonelli
Journal:  World J Surg       Date:  2013-04       Impact factor: 3.352

Review 8.  Colorectal cancer surveillance: what's new and what's next.

Authors:  Johnie Rose; Knut Magne Augestad; Gregory S Cooper
Journal:  World J Gastroenterol       Date:  2014-02-28       Impact factor: 5.742

9.  Increasing colon cancer screening in primary care among African Americans.

Authors:  Ronald E Myers; Randa Sifri; Constantine Daskalakis; Melissa DiCarlo; Praveen Ramakrishnan Geethakumari; James Cocroft; Christopher Minnick; Nancy Brisbon; Sally W Vernon
Journal:  J Natl Cancer Inst       Date:  2014-12-06       Impact factor: 13.506

10.  Colorectal cancer screening: Estimated future colonoscopy need and current volume and capacity.

Authors:  Djenaba A Joseph; Reinier G S Meester; Ann G Zauber; Diane L Manninen; Linda Winges; Fred B Dong; Brandy Peaker; Marjolein van Ballegooijen
Journal:  Cancer       Date:  2016-05-20       Impact factor: 6.860

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