Practices regarding human Papillomavirus counseling and vaccination in head and neck cancer: A Canadian physician questionnaire
Bibliographic record
Abstract
BACKGROUND: Human papillomavirus (HPV) has recently been implicated as a causative agent in a rapidly growing number of oropharyngeal cancers. Emerging literature supports the hypothesis that HPV vaccination may protect against HPV-related head and neck cancer (HNC) in addition to HPV-related cervical and anogenital disease. While the association between HPV infection and cervical cancer is widely understood, its relation to HNC is less well known. The purpose of this study was to better understand HPV counseling practices for infection and vaccination in relation to HNC of primary care physicians (PCPs), Obstetricians/Gynecologists (OBGYNs), and Otolaryngology - Head and Neck Surgeons (OHNSs) in Canada. METHODS: A Canada-wide electronic questionnaire regarding counseling practices on HPV infection, transmission, and vaccination was designed and distributed to PCPs, OBGYNs, and OHNSs across Canada through electronic and paper-based methods. Basic Descriptive statistics were used to analyze responses. RESULTS: In total, 337 physicians responded (239 family physicians, 51 OHNSs, 30 OBGYNs, and 17 pediatricians). Three out of four PCPs reported routine counseling of their patients regarding HPV infection, transmission, and vaccination. Among this group, 68% reported "never" or "rarely" counseling patients that HPV can cause HNC. The most commonly reported reason that PCPs cited for not counseling was a lack of knowledge. The majority of OHNSs (81%) and OBGYNs (97%) counseled patients regarding HPV infection, transmission, and vaccination. However, very few OHNSs (10%) regularly counseled patients with HPV-related HNC about HPV-related anogenital cancer. Similarly, very few OBGYNs (18%) regularly counseled patients with HPV related cervical/anogenital cancer about HPV related HNC. CONCLUSIONS: The rate of counseling on HPV infection, transmission, and vaccination in relation to HNC among PCPs is low. The most common reason is a lack of knowledge. Specialists rarely counsel patients with confirmed HPV-related cancer about other HPV-related malignancies. More research is needed on the relationship between different HPV-related cancers in order to better inform counseling practices.
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 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".