Cost-Effectiveness Analysis Comparing Conventional Versus Stereotactic Body Radiotherapy for Surgically Ineligible Stage I Non–Small-Cell Lung Cancer
Bibliographic record
Abstract
INTRODUCTION: In 25% to 35% of patients with early stage I non-small-cell lung cancer (NSCLC), surgery is not feasible, and external-beam radiation becomes their standard treatment. Conventionally fractionated radiotherapy (CFRT) is the traditional radiation treatment standard; however, stereotactic body radiotherapy (SBRT) is increasingly being adopted as an alternate radiation treatment. Our objective was to conduct a cost-effectiveness analysis, comparing SBRT with CFRT for stage I NSCLC in a public payer system. METHODS: Consecutive patients were reviewed using 2010 Canadian dollars for direct medical costs from a public payer perspective. A subset of direct radiation treatment delivery costs, excluding physician billings and hospitalization, was also included. Health outcomes as life-years gained (LYGs) were computed using time-to-event methods. Sensitivity analyses identified critical factors influencing costs and benefits. RESULTS: From January 2002 to June 2010, 168 patients (CFRT, n = 50; SBRT, n = 118) were included; median follow-up was 24 months. Mean overall survival was 2.83 years (95% CI, 1.8 to 4.1) for CFRT and 3.86 years (95% CI, 3.2 to not reached) for SBRT (P = .06). Mean costs for CFRT were $6,886 overall and $5,989 for radiation treatment delivery only versus $8,042 and $6,962, respectively, for SBRT. Incremental costs (incremental cost-effectiveness ratio [ICER]) per LYG for SBRT versus CFRT were $1,120 for the public payer and $942 for radiation treatment alone. Varying survival and labor costs individually (± 20%) created the largest changes in the ICER, and simultaneous adjustment (± 5% to ± 30%) confirmed cost effectiveness of SBRT. CONCLUSION: Using a threshold of $50,000 per LYG, SBRT seems cost effective. Results require confirmation with randomized data.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.005 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".