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Oral squamous cell carcinoma and cultural oral risk habits in Vietnam

2010· article· en· W1798623196 on OpenAlexaff
SL Priebe, Jolanta Aleksejūnienė, Christopher Zed, Shafik Dharamsi, DHQ Thinh, NT Hong, TTK Cuc, NTP Thao

Bibliographic record

VenueInternational Journal of Dental Hygiene · 2010
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineBasal cellDentistryOncologyInternal medicine

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.340

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.301
Teacher spread0.287 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2010
Admission routes1
Has abstractyes

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