Effectiveness of pamidronate as treatment of symptomatic osteonecrosis occurring in children treated for acute lymphoblastic leukemia
Bibliographic record
Abstract
BACKGROUND: Osteonecrosis (ON) is a severe complication of acute lymphoblastic leukemia (ALL) treatments. Recent studies suggest that bisphosphonates might reduce pain and loss of motor function in patients with ON. We assessed the effects of pamidronate compared to standard care in patients with symptomatic ON (sON) and studied whether steroids might be continued after diagnosis of ON in some patients. METHODS: We evaluated 17 patients with sON as complication of primary ALL treatment between 2000 and 2008. Fourteen patients were treated with pamidronate. Mobility and pain control were monitored in all patients. Affected joints were classified by magnetic resonance imaging (MRI) at ON diagnosis and after 6-72 months. RESULTS: Out of 220 patients with ALL, 17 (7.7%) patients developed sON. The median age at ALL diagnosis was 11 years (range: 2.7-16.6 years) and sON occurred a median of 13.4 months (range: 2.5-34 months) after ALL diagnosis. Affected joints were hip, knee and ankle. MRI scans showed 7 severe, 4 moderate, and 6 mild ON lesions. Fourteen patients showed improvement in pain (77% of patients) and motor function (59% of patients), even though corticoids were reintroduced in 4 patients. MRI demonstrated improvement, stability or worsening in 6, 3, and 5 cases, respectively. CONCLUSIONS: Pamidronate seems to be effective in the management of pain and motor function recovery in sON. Further studies are needed to provide evidence as to whether bisphosphonates can be recommended for the treatment or the prevention of ON in childhood ALL patients.
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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 | 0.000 | 0.002 |
| 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) | 0.001 | 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".