Familial risks of esophageal cancer among the Turkmen population of the Caspian littoral of Iran
Bibliographic record
Abstract
In northeastern Iran, there is an area of high incidence of esophageal cancer, which is populated by residents of Turkmen ancestry. Several environmental risk factors for esophageal cancer have been proposed, but the roles of familial and genetic factors have not been studied extensively in the Turkmen population. We evaluated the importance of familial risk factors for esophageal cancer by performing a case-control study of 167 cases of esophageal squamous cell carcinoma and 200 controls of Turkmen ethnicity. Detailed family pedigrees of the cases and controls were constructed, which documented all cancers in first- and second-degree relatives. The actuarial risk of cancer was then estimated in 2,097 first-degree relatives of cases and 2,783 first-degree relatives of the controls. A hazard ratio was constructed, based on a comparison of the 2 cumulative incidence curves. The risk to age 75 of esophageal cancer in the first-degree relatives of Turkmen patients with esophageal cancer was 34% versus 14% for the first-degree relatives of the controls (hazard ratio = 2.3; p = 3 x 10(-8)). Cases (9.6%) reported that their parents were related, versus 2.5% of the controls who reported this. (odds ratio = 4.1; p value = 0.006). Familial factors are important in the etiology of esophageal cancer among the Turkmen residents of Iran. The hazard ratio of 2.3 for cancer among first-degree relatives is consistent with an important contribution of heritable factors. It will be of interest to perform marker studies to establish which genes are responsible.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".