A Ten Year Survey of Chronic Immune Thrombocytopenic Purpura in Canadian Children, 1984–2003: Report of the Canadian Chronic ITP Working Group.
Bibliographic record
Abstract
Abstract Chronic Immune Thrombocytopenic Purpura (C-ITP) is a heterogeneous group of disorders manifesting as thrombocytopenia of greater than six months duration. To better understand its natural history, and detect trends of response to therapy and of outcomes, a ten-year retrospective survey of C-ITP diagnosed in Canadian children from age 6 months to under 20 years was conducted in 2004. A standardised form for capture of anonymous data on each patient was completed and returned from 11 institutions, including the three largest Canadian Pediatric Hematology/Oncology centres. Of the total of 243 forms received, 213 cases met the inclusion criteria. Male:female::1:1.3. Mean age at diagnosis of C-ITP was 7.9 years (range 8 months - 17.7 years). Mean platelet count at diagnosis and mean duration of C-ITP were 46 x 109/L (range 1 - 145 x 109/L) and 2.9 years (range 0 - 9.7 years) respectively. Primary ITP was the underlying diagnosis in 85 % of cases. Internal hemorrhage was documented in 1 % of patients. Treatments (either singly or in combination) with drugs, IVIG, anti-D, or monoclonal antibody, were administered in 91 % of cases. Five percent of patients received blood transfusions for treatment of bleeding episodes; 18.1 % underwent splenectomy. Information gained from this data base will be used in developing management guidelines for C-ITP, and will provide the foundation for establishing a Web-based Canadian National C-ITP Registry.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".