Submental Island Flap versus Free Flap Reconstruction for Complex Head and Neck Defects
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: Complex soft tissue reconstruction of the head and neck requires a viable, versatile, and dependable flap. Free flaps, such as the radial forearm and anterolateral thigh flap, have been the mainstay of complex head and neck reconstruction. However, a local pedicled flap, such as the submental island flap (SIF), could be a more effective and less demanding alternative. This systematic review and meta-analysis aim to compare free tissue transfer (FTT) with the SIF for head and neck reconstruction. DATA SOURCES: We performed a systematic search in PubMed and EMBASE databases. Meta-analysis was performed on outcomes reported in ≥3 studies. REVIEW METHODS: Candidate articles were assessed for eligibility by 2 authors. Three authors performed data extraction and methodological quality of the included studies using the Newcastle-Ottawa Quality Assessment Form for Cohort Studies. RESULTS: = .0008). There was no significant difference between the groups for complete flap loss, debulking revisions, and oncologic recurrence. CONCLUSION: These results suggest that the SIF reduces length of stay and operating time as compared with FTT in head and neck reconstruction. These findings suggest that the SIF can be considered an alternative reconstructive option to FTT when evaluating intraoral, lateral facial, skull base, and parotidectomy defects, given comparable defect size and tumor biology.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it