Double Free-Flap Reconstruction
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: To investigate the increasing use of double free flaps in the reconstruction of large head and neck defects. DESIGN: A 5-year retrospective medical record review in a large tertiary care head and neck oncology program. Prospectively collected functional data were also analyzed. SETTING: Academic research. PATIENTS: A consecutive series of 35 patients (24 men and 11 women; mean age, 57.7 years). MAIN OUTCOME MEASURES: The use of double free flaps in the reconstruction of large head and neck defects and prospective functional outcomes. RESULTS: The most common indication for surgery (n = 25 [71.4%]) was squamous cell carcinoma. The most common double free-flap combination (n = 22 [62.9%]) included an osteocutaneous fibular free flap with a fasciocutaneous radial forearm free flap. Objective evaluation by naive listeners demonstrated a mean single-word intelligibility score of 66.2% and a mean sentence intelligibility score of 84.8% in this group of patients. Modified barium swallow study results revealed no evidence of laryngeal penetration for swallowing liquid consistencies in 21 patients (60.0%), pudding consistencies in 30 patients (85.7%), and cookie consistencies in 32 patients (91.4%). CONCLUSIONS: With proper patient selection and planning and the use of 2 surgical teams, the length of surgery and complication rates are not significantly increased in double free-flap reconstruction. Furthermore, by using 2 free flaps, the best osseous and soft-tissue elements may be independently selected, yielding appropriate tissue characteristics for ideal defect reconstruction.
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.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 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 it