Cost Outcomes of Virtual Surgical Planning in Head and Neck Reconstruction: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: Virtual surgical planning (VSP) is an emerging method in head and neck reconstruction with demonstrated benefits, however, its economic viability is supported with mixed evidence. METHODS: A structured search was performed in five electronic databases. Studies that performed an economic evaluation on VSP in head and neck reconstruction were included. Data regarding VSP workflow, costs, and variables influencing costs were recorded and synthesized. RESULTS: Eighteen studies met the final inclusion criteria (n = 733). Fourteen out of 18 studies (78%) found that VSP either generated cost savings or was comparable to freehand surgery (FHS). The majority of cost savings were generated from reduced OR times and LOS/LOH. In addition, greater cost savings were associated with in-house VSP workflows compared to those that are outsourced. CONCLUSION: VSP is potentially cost-beneficial compared to traditional unplanned surgery, however, substantial heterogeneity amongst methods and outcome measures impedes the generalizability of these findings. TRIAL REGISTRATION: PROSPERO: CRD42024504398.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".