Making a case for high‐volume robotic surgery centers: A cost‐effectiveness analysis of transoral robotic surgery
Bibliographic record
Abstract
OBJECTIVE: To evaluate the cost-effectiveness of transoral robotic surgery (TORS) compared to intensity-modulated radiotherapy (IMRT) for early stage (T1-2, N0, M0) oropharyngeal squamous cell carcinoma (OPSCC). PATIENTS AND METHODS: A Markov decision tree model with a 5-year time horizon was developed. Comparative groups were: i) TORS with concurrent ipsilateral neck dissection +/- adjunctive IMRT, and ii) primary IMRT. Primary outcome was cost/quality adjusted life year (QALY). Perspective was the United States third party payer. Costs and effects were discounted at a rate of 3.5%. A threshold and probabilistic sensitivity analysis were performed. RESULTS: TORS strategy cost $30,992 and provided 4.81 QALYs/patient. The IMRT strategy cost $26,033 and provided a total of 4.78 QALYs/patient. The incremental cost effectiveness ratio for TORS vs. IMRT in the reference case was $165,300/QALY. The probability that TORS is cost-effective compared to IMRT at a maximum willingness-to-pay threshold of $50,000/QALY is 42%. CONCLUSION: An IMRT strategy for management of early stage OPSCC is more likely to be cost-effective compared to TORS. To improve the value of TORS for early stage OPSCC, consolidating TORS procedures to create high-volume centers of excellence may be a potential strategy to increase incremental effectiveness and reduce incremental costs. J. Surg. Oncol. 2015 111:155-163. © 2015 Wiley Periodicals, Inc.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".