A FIVE YEAR REVIEW OF CHILDREN WITH NEUROBLASTOMA AT Dr. SARDJITO HOSPITAL, YOGYAKARTA, INDONESIA: 1999-2004
Bibliographic record
Abstract
Backgraund: The prevalence and outcome of childhood cancers in developing countries is not well documented. In 2001, the Yogyakarta Pediatric Cancer Registry (YPCR) was developed in collaboration with the Saskatchewan Cancer Registry in Canada. Its purpose was to collect and analyze demographic, treatment and outcome data in children newly diagnosed with cancer at Dr. Sardjito General Hospital, Indonesia,\nObjective: The objectives of this study were to analyze clinical profiles and treatment responses in children under 15 years of age diagnosed with neuroblastoma in 1 January 2000 – 31 December 2004.\nMaterials and Method: A retrospective review of health records was conducted. Information on all patient diagnosed with cancer from 1998 onwards was transcribed onto a standardized data capture form, and then entered into the computerized YCR data base for review and analyses. Result: A total of 27 children with neuroblastoma were identified within the 5 year study period. Twenty two patients (81.5 %) had stage IV disease, 4 (14.8%) had stage II/111, and 1 (3.7%) stage 1. Male to female ratio was 1.5:1. Mean age at diagnosis was 3.1 years. Nineteen patients (70%) were treated on the OPEC protocol, 3 (11%) per the N6 protocol, and 1 (4%) on the NS4E protocol
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".