Prevalence and nature of survivorship needs in patients with head and neck cancer
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to determine the number, type, and predictors of patients with head and neck cancer unmet survivorship needs. METHODS: This study accrued patients with head and neck cancer at any time point in their survivorship course, and they completed a survey, including demographic information and the Cancer Survivors' Unmet Needs Measure (CaSUN). RESULTS: The median age of the 158 participants was 64 years. Ninety-six patients (61%) reported at least one unmet need on the CaSUN and 6 patients had a very high number of needs between 31 and 35. The mean number of unmet needs was 5.8 ± 8.9. Comprehensive Cancer Care was the most common domain of unmet need (n = 69; 45%). Younger age, earlier survivorship phase, and worse quality of life were associated with increased survivorship unmet needs on multivariable analysis. CONCLUSION: A high proportion of patients with head and neck cancer have unmet needs. These data can guide the development of head and neck survivorship programs. © 2016 Wiley Periodicals, Inc. Head Neck 38: 1097-1103, 2016.
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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) | 0.000 | 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".