Oral squamous cell carcinoma and cultural oral risk habits in Vietnam
Bibliographic record
Abstract
OBJECTIVES: In South-Central Asia, 80% of head and neck cancers are found in the oral cavity and oropharynx. In Vietnam, oral cancer is often not being detected until people experience debilitating circumstances to normal oral function. The aims of the study were to explore the patterns of oral squamous cell carcinoma (OSCC) and its risk indicators, the structure of oral health care in Vietnam and trends in prevalence of cultural risk habits in southern Vietnamese patients. MATERIALS AND METHODS: A retrospective clinical study was performed from 1 July 2005 to 1 April 2006 at Ho Chi Minh City Oncology hospital in Vietnam. Of the 161 cases, 147 subjects were diagnosed with OSCC, including 100 male and 47 female adults aged 24-85 years. Data were collected by a structured interview and clinical examination. RESULTS: Over 40% of the women with OSCC reported chewing betel quid and the most prevalent risk habit in males was smoking (91.0%). Daily alcohol use was reported by 79.0% of males and 2.1% of females. Two-thirds of the cases of OSCC were diagnosed at the 2nd and 3rd stage of cancer. The more advanced stages of cancer were observed in males than in females. The prevalence of tobacco and alcohol use in males with OSCC was higher in this study than in the previous Vietnamese studies. CONCLUSION: High frequency of risk habits in both genders was reported in OSCC Vietnamese patients. A trend of increased tobacco and alcohol use was observed in male OSCC patients. A lower prevalence of later staging in Vietnam was observed in this study than in earlier studies.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".