<scp>Long‐term</scp> neck and shoulder function among survivors of oropharyngeal squamous cell carcinoma treated with chemoradiation as assessed with the neck dissection impairment index
Bibliographic record
Abstract
BACKGROUND: Of interest is the long-term neck and shoulder impairment of patients treated with primary chemoradiotherapy (CRT). This is important for counseling patients regarding treatment decisions when discussing primary CRT. METHODS: A cross-sectional study to identify factors that contribute to neck and shoulder dysfunction in patients treated with primary CRT. We utilized the neck dissection impairment index (NDII). Eighty-seven patients treated between 2003 and 2010, who were free of disease, responded; 24 of these 87 underwent post-CRT neck dissection. Mean interval since completion of CRT was over 5 years (62.7 months). Mean age, 63.5 years, male:female 75:12. RESULTS: Mean NDII score was 87.4 (SD 22.1, range 5-100). Multiple linear regression revealed worse NDII scores for patients with larger pre-CRT gross tumor nodal volume (GTVnodal), controlled for age, sex, body mass index (BMI), and the presence of neck dissection (p = 0.02). There were significant associations with increasing GTVnodal and "low" scores for components of the NDII that assessed neck pain (p = 0.02), neck stiffness (p = 0.01), lifting heavy objects (p = 0.02), reaching overhead (p = 0.02), and ability to do work (p = 0.02). Physical therapy (PT) was evaluated as an "anchor" but it was prescribed "as needed." Regression revealed participation in PT was associated with higher GTVnodal, lower BMI, presence of neck dissection, and female sex (p = 0.00007). CONCLUSION: GTVnodal was an independent predictor of neck and shoulder impairment. High GTVnodal was associated with increased pain and stiffness, and increased difficulty lifting heavy objects, reaching overhead, overall ability to perform work-related tasks and was associated with participation in post-treatment PT.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".