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Record W2025342273 · doi:10.1097/mph.0b013e318142b7a1

Bisphosphonate Therapy for Reduced Bone Mineral Density During Treatment of Acute Lymphoblastic Leukemia in Childhood and Adolescence

2007· article· en· W2025342273 on OpenAlexaff
Christopher Lethaby, John Wiernikowski, Alessandra Sala, Marissa Naronha, Colin E. Webber, Ronald D. Barr

Bibliographic record

VenueJournal of Pediatric Hematology/Oncology · 2007
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsHamilton Health SciencesMcMaster UniversityMcMaster Children's Hospital
Fundersnot available
KeywordsMedicineOsteopeniaBone mineralOsteoporosisBisphosphonateBone resorptionResorptionBone densityAdverse effectInternal medicinePediatrics

Abstract

fetched live from OpenAlex

BACKGROUND: Osteopenia is a common consequence of the treatment of acute lymphoblastic leukemia (ALL) in children and adolescents, due predominantly to glucocorticosteroid therapy. The pathogenesis relates to an imbalance of resorption over formation of bone. METHODS: Alendronate (Fosamax), an inhibitor of osteoclastic bone resorption, was administered for at least 6 months to 15 children with ALL during maintenance chemotherapy, after the diagnosis of osteopenia/osteoporosis by dual energy x-ray absorptiometry. The height velocity was also measured during the administration of alendronate and again 2 years later. RESULTS: Areal bone mineral density Z scores of the lumbar spine had a median value of -1.32 before administration of alendronate and a median gain of +0.64, with 14/15 children showing improvement. There was no adverse effect of alendronate on height velocity, and the drug was well tolerated with no short-term toxicity. CONCLUSIONS: This preliminary experience suggests a potential value in the use of alendronate for the treatment of osteopenia/osteoporosis in children with ALL and points to the need for a randomized controlled trial of this intervention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.018
GPT teacher head0.338
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations42
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pediatric Hematology/OncologySame topicBone health and osteoporosis researchFrench-language works237,207