Effect of fibula free flap harvest on the gait of head and neck cancer patients: preliminary results.
Bibliographic record
Abstract
OBJECTIVE: To determine the impact of fibula free flaps (FFFs) on gait. DESIGN: Prospective trial. SETTING: FFF patients who gave consent were enrolled. METHODS: At preoperative and 3-month postoperative visits, patients walked 30 m with the Walkabout Portable Gait Monitor (WPGM), a portable device developed at Dalhousie University that records acceleration of the centre of mass. Gaitview software provided several outputs for analysis: vertical (VA) and forward (FA) asymmetry, horizontal to vertical power ratio (HVP), vertical to forward power ratio (VFP), velocity, and step length. Patients were compared pre- and postoperatively and to age-matched control data with a Student paired t-test. Patients completed a self-comorbidity questionnaire and a point evaluation system (PES) with subjective questions on gait. PES data were compared to a Mann-Whitney U test using SPSS, version 15.0.1. MAIN OUTCOME MEASURES: Gaitview output and PES questionnaire. RESULTS: From September 2008 to January 2010, 12 patients enrolled in the study. Eight provided 3-month postoperative data. The Gaitview analysis showed that none of the six parameters changed postoperatively. The VA and FA preoperatively and at 3 months postoperatively were 21.3 versus 24.2, p > .50, and 65.4 versus 74.9, p > .50, respectively. The HVP and VFP preoperatively and postoperatively were 133.4 versus 138.9, p > .50, and 129.6 versus 122.8, p > .50, respectively. The velocity and step length preoperatively and postoperatively were 125.9 versus 119.5 cm/s, p > .50, and 76.0 versus 74.9 cm, p > .50, respectively. The subjective PES questionnaire did not change significantly (p = .26). CONCLUSION: Preliminary findings confirm that the FFF is associated with little subjective or objective gait impairment.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".