Comorbidity and performance status as independent prognostic factors in patients with head and neck squamous cell carcinoma
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to evaluate the individual and combined relationship of comorbidity and performance status (PS) on head and neck squamous cell carcinoma (HNSCC) survival. METHODS: Six hundred patients with HNSCC were prospectively recruited. Comorbidity and PS were measured using the Charlson Comorbidity Index (CCI) and the Eastern Cooperative Oncology Group (ECOG) Scale. Outcomes were overall survival (OS) and cancer-specific survival (CSS). RESULTS: A total of 48.3% of the patients had at least 1 comorbidity, and 42.3% had impaired PS at baseline. There was no correlation between CCI and ECOG (Spearman's ρ = 0.033; p = .42). In multivariate analysis, CCI score was significantly associated with OS (p = .01). ECOG was not associated with OS, but seems to act as an effect modifier in the association between comorbidity and OS. CCI and ECOG were not associated with CSS. CONCLUSION: CCI and ECOG scores both provide prognostic information in predicting OS in HNSCC, but a significant association with CSS was not observed.
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.
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".