P1-10-05: Is the 21-Gene Breast Cancer Test (Oncotype DX®) Cost-Effective?
Bibliographic record
Abstract
Abstract Background: The Oncotype DX® Breast Cancer Test is a validated 21-gene assay that predicts 10 year risk of recurrence and the likelihood of benefit from adjuvant chemotherapy in early-stage, node-negative ER+ breast cancer. The cost-effectiveness of using Oncotype DX® has been published in several countries but to date, there hasn't been any review of these studies. Materials and methods: The electronic database Pubmed and a selection of congress databases were searched using combinations of search terms designed to identify publications describing cost-effectiveness analyses of Oncotype DX®in early stage breast cancer patients. Searches were limited to those published in the English language between January 2001 and April 2011. All records were screened for inclusion in the review. The methodological quality of selected publications was assessed using the 35 items methodological checklist from Drummond et al (1996). Results: Five published health economics analyses and 3 abstracts (two posters and an oral presentation) were identified. The studies were carried out in several countries (US (2), Canada (2), Japan, Israel, Singapore and Hungary and have used a Markov modelling approach based on data from a large multicentre trial (e.g. NSABP B-20) to make estimates of long-term outcomes, and assess the cost-effectiveness of using the Oncotype DX® recurrence score in patients classified as having a high or low risk of distant recurrence using other methods of assessment. All studies were carried out in the perspective of the healthcare payer, and therefore did not consider broader costs to the patients and the society. Study comparators, costs, characteristics of the population receiving the test and impact of using the Oncotype DX® results on treatment decisions were adapted to each individual country clinical practice explaining the large range of cost-effectiveness results from these studies. In the US, using Oncotype DX® was shown to be cost-saving when in one of the Canadian studies, it was likely to be cost-effective (incremental cost-effectiveness ratio of $64,063 per QALY gained). Consistently across all five studies, use of Oncotype DX® was projected to improve survival (where reported), quality-adjusted life expectancy and to reduce chemotherapy costs versus comparators. When looking at the methodological quality of studies, they generally scored well with positive responses to 24 or more of the 35 questions on reporting. The exception was the Lyman et al. (US) paper where only 17 positive responses were recorded. The two posters, as expected scored lower than the full scale articles with positive responses of 15 and 18 out of 35 items. Conclusions: Published literature to date is of good methodological quality and consistently supports the cost-effectiveness of using Oncotype DX® in the various settings. Further analyses should be carried on to assess the budget impact of funding Oncotype DX® and to include a broader perspective of the costs. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P1-10-05.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.029 | 0.150 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.010 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".