Oropharyngeal squamous cell carcinoma and human papillomavirus-associated cancers in women: epidemiologic evaluation of association.
Bibliographic record
Abstract
OBJECTIVE: Human papillomavirus (HPV) is a well-established etiologic factor in oropharyngeal squamous cell carcinoma (OPSCC). The objective of this study was to evaluate the association between OPSCC and HPV-related cancerous lesions of the cervix. METHODS: Demographic, survival, and pathologic data on all female patients diagnosed with OPSCC in Alberta between 1998 and 2008 were collected. A review of pathology reports in these patients was undertaken to identify HPV-related cancerous lesions of the cervix. Standardized incidence ratios (SIRs) of cervical cancer in oropharyngeal cancer patients were calculated using control data obtained from provincial cancer surveillance. Overall and disease-specific survival of patients with OPSCC only versus patients with OPSCC and cervical cancer was calculated using Kaplan-Meier and Cox regression models. RESULTS: Our results show a significantly elevated overall incidence of cervical cancer in women with OPSCC in comparison to the control population (SIR 29.4, 95% CI 12.05-74.98). Patients with OPSCC and cervical cancer also had a significantly improved disease-specific survival in comparison to patients with no history of cervical cancer. CONCLUSIONS: Women with OPSCC have a significantly elevated risk of developing HPV-related genital cancers, which suggests frequent HPV coinfection of oropharyngeal and genital tissues in this patient population. Women with OPSCC with cervical cancer also have an improved disease-specific survival, as previously shown with HPV-associated OPSCC.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".