Safety and efficacy of alendronate to treat osteopenia in children during therapy for acute lymphoblastic leukemia. A retrospective cohort study of sequential outcomes.
Bibliographic record
Abstract
Background. Low bone mineral density (osteopenia) is encountered in children with acute lymphoblastic leukemia (ALL) before, during and after treatment. Prior experience with alendronate, an oral bisphosphonate, demonstrated high tolerability and evident clinical efficacy. However, concerns have been expressed about the long-term safety and utility of such agents in children. Procedure. Of 217 children with ALL treated on Dana Farber Cancer Institute protocols 69 received alendronate for a mean of 87 weeks after dual energy X ray absorptiometry (DXA). DXA was repeated following completion of alendronate, and again 5-9 years later in a subgroup of 32 children. Lumbar spine areal bone mineral (LS aBMD) Z scores were obtained and values corrected for height, age and weight (HAW) were calculated for subjects 3-18 years of age. Results. Almost 80% (N=172) of the children remain in continuous complete remission at a mean of 14.5 years from diagnosis. Of those who receive alendronate, which was almost uniformly well tolerated, 7/69 (10.3%) relapsed compared to 19/89 (21.3%) who did not receive the drug. The mean unmodified LS aBMD Z score rose from -1.78 to -0.47. This gain was statistically significant for both unmodified (p <0.0001) and HAW corrected Z scores -1.32 to -0.42; p <0.0001). There was a modest median loss of LS aBMD (Z score 0.045) subsequently in the subgroup (N=32) of subjects on long-term follow up. Discussion. Alendronate appears to be well tolerated and moderately effective in osteopenic children with ALL. Whether it offers protection against relapse of leukemia needs further study.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".