Trends in Childhood Leukemia in Basrah, Iraq, 1993–2007
Bibliographic record
Abstract
OBJECTIVES: Through a sister-university relationship between the University of Basrah and the University of Washington, we analyzed Ibn Ghazwan Hospital's leukemia registry data to evaluate trends in childhood leukemia since 1993. METHODS: We documented leukemia cases among children aged 0 to 14 years for each of the last 15 years. Population data were obtained from a 1997 census and various subsequent estimates to calculate rates. RESULTS: We observed 698 cases of childhood leukemia between 1993 and 2007, ranging between 15 cases (2.6 per 100 000 annual rate) in the first year and 56 cases (6.9 per 100 000 annual rate) in the final year, reaching a peak of 97 cases in 2006 (12.2 per 100 000 annual rate). CONCLUSIONS: Childhood leukemia rates in Basrah more than doubled over a 15-year period. The test for trend was significant (P = .03). Basrah's childhood leukemia rate compared unfavorably with neighboring Kuwait and nearby Oman, as well as the United States, the European Union, and other countries.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".