Long-term functional donor site morbidity of the free radial forearm flap in head and neck cancer survivors
Bibliographic record
Abstract
BACKGROUND: To assess the functional donor site morbidity of the forearm free flap in patients surviving at least 2 years after ablative head and neck cancer surgery in a tertiary care centre. METHODS: This study involved nine long-term survivors (2 year post-operative) who had forearm free flaps to reconstruct head and neck defects. All flaps were raised from the non-dominant arm. The non-donor side acted as a control for all patients. Objective measurements were as follows: grip, tip pinch and key pinch strength measured with dynamometers; flexion, extension, radial and ulnar deviation and pronation and supination range of motion at the wrist measured with goniometry; A timed manual dexterity task was performed with a grooved pegboard test, and sensation of the radial nerve was tested with Semmes Weinstein monofilaments. Subjective measurements included a validated patient questionnaire of hand function and opinions of scar appearance as well as a validated scar assessment from two different observers. RESULTS: Pronation at the wrist, manual dexterity and sensation were found to be significantly reduced in the donor side compared to the non-donor side. Inter-rater agreement between the two observers was found to be poor, except for an acceptable correlation between overall scar opinions. No correlations were found between any subjective or objective items or between the patient's and the observers' subjective evaluations. CONCLUSIONS: Donor site morbidity can be demonstrated with objective testing however this is accepted and well tolerated by head and neck cancer patients.
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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 | 0.000 | 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) | 0.001 | 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".