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Use of Bisphosphonates in a Case of Perthes Disease

2005· article· en· W2064872616 on OpenAlexaff
Mary McQuade, Kerry Houghton

Bibliographic record

VenueOrthopaedic Nursing · 2005
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutions123 Certification (Canada)
Fundersnot available
KeywordsOsteogenesis imperfectaMedicineAvascular necrosisOsteoporosisBisphosphonateBone Density Conservation AgentsBone mineralBone diseaseDiseaseBone painDentistryBone densityOsteonecrosis of the jawPediatricsSurgeryInternal medicinePathology

Abstract

fetched live from OpenAlex

Bisphosphonates are a group of drugs that have been used extensively for more than 10 years to treat adults with osteoporosis. Use of bisphosphonates in pediatrics has generally been confined to conditions such as osteogenesis imperfecta or other conditions with bone density problems. Bisphosphonates increase bone density, bone mineral content, and strength; improve mobility; reduce fracture rates; and are effective agents in combating bone pain. Bisphosphonates inhibit osteoclastic action, thereby increasing bone density (Rauch & Glorieux 2004). Recently there has been interest in the effect of bisphosphonates in localized disorders of bone, including avascular necrosis. The third-generation bisphosphonate zoledonic acid is currently being explored as a treatment for children presenting with Perthes disease at the Children's Hospital at Westmead, Sydney, Australia, and this is a report of that experience.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0070.003
Science and technology studies0.0050.002
Scholarly communication0.0010.003
Open science0.0020.002
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.026
GPT teacher head0.302
Teacher spread0.275 · 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 designCase report
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

Citations16
Published2005
Admission routes1
Has abstractyes

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