Epidemiology and Trend of Head and Neck Cancers in Iran
Bibliographic record
Abstract
INTRODUCTION: Head and neck cancers are the sixth common cancer worldwide. It is necessary to inform the trend of incidence for health planning. This study aimed to investigate the trend of head and neck cancers in Iran. METHODS: This study was carried out based on national report on cancer registry in Iran. The crude incidence rate was calculated as per 100,000 people, and Age Standardized incidence Rate (ASR) was estimated using direct standardization and the standard population of World Health Organization (W.H.O). Data was analyzed using the Cochran-Armitage test for linear trend and software of WinPepi 2.1. RESULTS: A total of 25,952 cases of cancers of the head and neck have been registered between 2003 and 2009. The age-standardized incidence rate reached from 4.8 cases per 100,000 in 2003 to 8.5 and 7.4 in 2008 and 2009, respectively, which revealed significantly increasing trends. CONCLUSIONS: According to increasing trend age-standardized rate of head and neck cancer in Iran, it is recommended to identify risk factors and vulnerable groups in order to reduce the burden of this type of cancers.
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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 | 0.000 |
| 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 | 0.001 |
| 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".