Childhood Chronic Immune Thrombocytopenic Purpura: Unresolved Issues
Bibliographic record
Abstract
Chronic immune thrombocytopenic purpura (ITP), defined as a platelet count of below 150 x 109/L persisting for more than 6 months from onset of illness, occurs in approximately 20% to 25% of children with acute-onset ITP. A small subset of these patients (approximately 5%) will manifest symptomatic, severe thrombocytopenia (platelet counts <20 x 109/L) at 1 year or longer following diagnosis, and may require splenectomy. Complete/partial response rates following splenectomy in children with primary chronic ITP are of the order of 70% to 75%; response rates are lower in children with secondary ITP and those with complex autoimmune cytopenias (e.g., Evans syndrome). Laparoscopic splenectomy is increasingly preferred over open splenectomy. Patients should be immunized with the pneumococcal, Haemophilus type b and meningococcal vaccines before splenectomy; the duration of postsplenectomy antibiotic prophylaxis using penicillin or an equivalent antibiotic is controversial but should be at least until 5 years of age and for a minimum of 1 year postsplenectomy. Some experts advocate life-long antibiotic prophylaxis. Treatment of postsplenectomy failures is a challenge; partial/complete remission rates are low, and multimodality therapy may be more efficacious than monotherapy. The presence of an accessory spleen should be sought and removal considered if present. The role of newer treatment modalities such as anti-CD 20 remains to be established.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".