Childhood cancer in Uruguay: 1992–1994. Incidence and mortality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: The referral of all children with cancer in Uruguay to a single center affords the opportunity to generate population-based incidence and mortality rates in this developing country in Latin America. PROCEDURE: All incident cases of cancer in children, 0-14 years of age, were ascertained from a combination of three sources for the period January 1992-December 1994. Diagnoses were grouped according to the International Classification of Childhood Cancer. Information on the size and age distribution of the total population was obtained from national census records. Follow-up was undertaken until December 1999 to afford a minimum interval of 5 years and the determination of mortality rates. RESULTS: The average annual incidence was 133.6 cases of cancer per million children per year and the disease distribution was similar to that in industrialized countries, with the exception of a higher rate and younger age distribution for the Hodgkin disease. The overall age-standardized mortality rate from cancer in childhood, at 6.5 per 100,000, was approximately twice that in the United States and Canada. CONCLUSIONS: Basic indicators of development suggest that Uruguay is more akin to the countries of North America and Western Europe than to those in the developing world. An opportunity has been identified to improve the outcome for children with cancer in this country.
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.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 it