Considering the cost of a simultaneous versus staged approach to resection of colorectal cancer with synchronous liver metastases in a publicly funded healthcare model
Bibliographic record
Abstract
BACKGROUND: Simultaneous resection for colorectal cancer with synchronous liver metastases is an established alternative to a staged approach. This study aimed to compare these approaches with regards to economic parameters and short-term outcomes. METHODS: A retrospective cohort analysis was conducted between 2005 and 2016. The primary outcome was cost per episode of care. Secondary measures included 30-day clinical outcomes. A multivariate analysis was performed to determine the adjusted effect of a simultaneous surgical approach on total cost of care. RESULTS: Fifty-three cases were identified; 27 in the staged approach, and 26 in the simultaneous group. Age (P = 0.49), sex (P = 0.20), BMI (P = 0.74), and ASA class (P = 0.44) were comparable between groups. Total cost ($20297 vs $27522), OR ($6830 vs $10376), PACU ($675 vs $1182), ward ($7586 vs $11603) and pharmacy costs ($728 vs $1075) were significantly less for the simultaneous group (P < 0.05). The adjusted rate ratio for total cost of care in the staged group compared to simultaneous group was 1.51 (95%CI: 1.16-1.97, P < 0.05). The groups had comparable Clavien-Dindo scores (P = 0.89), 30-day readmissions (P = 0.44), morbidity (P = 0.50) and mortality (P = 1.00). CONCLUSIONS: Our study demonstrates that a simultaneous approach is associated with a significantly lower total cost while maintaining comparable short-term outcomes.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".