Prognostic variables in newly diagnosed childhood immune thrombocytopenia
Bibliographic record
Abstract
Immune thrombocytopenia (ITP) has a favorable prognosis in children. Only a small number of children go on to develop chronic ITP. However, at the time of diagnosis, it is not possible to predict the course of the disease. In order to determine prognostic factors that could predict the disease course at diagnosis, we retrospectively evaluated various clinical variables in 103 pediatric patients with newly diagnosed ITP at our institution from 1995 to 2001. Sixty-eight (66%) patients had a mean platelet volume (MPV) of <8 fL on admission. Of 72 patients who had a follow-up period of at least 6 months, 54 (75%) achieved a durable remission within 6 months and 18 (25%) developed chronic ITP. In univariate analysis, a low admission MPV (<8), history of viral prodrome, and a low admission platelet count (<10 x 10(9)/L) predicted for a favorable outcome. Age and sex did not correlate with remission. In multivariate analysis, a low admission MPV and a history of a viral prodrome were the only independent factors correlated with a durable CR. The adjusted odds ratio for achieving a durable remission was 8.9 (95% CI: 1.54-51.8) for history of a viral prodrome and 14 (95% CI: 2.52-83.3) for low admission MPV value. In conclusion, our study showed that a majority of the children with newly diagnosed ITP presented with a low MPV value. A history of viral illness and a low admission MPV were found to be independent prognostic variables that predicted for the achievement of a durable CR in childhood ITP.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".