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Bisphosphonates

2006· review· en· W4235961421 on OpenAlexaff
Michael R. McClung

Bibliographic record

VenueArquivos Brasileiros de Endocrinologia & Metabologia · 2006
Typereview
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsOsteoporosis Canada
Fundersnot available
KeywordsMedicineOsteoporosisBone remodelingBone resorptionOsteoclastDosingReduction (mathematics)Bone Density Conservation AgentsDentistryUrologyInternal medicineBone density

Abstract

fetched live from OpenAlex

Osteoporosis is the result of bone loss due to an imbalance in bone turnover such that bone resorption exceeds bone formation. Bisphosphonates are potent inhibitors of osteoclast activity that reduce bone turnover and re-establish the balance between bone resorption and formation. In clinical studies, several bisphosphonates prevent bone loss, preserve bone structure, improve bone strength and, in patients with osteoporosis, substantially reduce fracture risk. They are effective in multiple clinical settings including postmenopausal osteoporosis, low bone mass in men and drug-induced bone loss. Intermittent oral dosing and intravenous administration are more convenient than the original daily dosing regimen. These drugs are generally well tolerated and have an excellent safety profile in that serious side effects are uncommon. Potent bisphosphonates are generally the preferred treatment option for most patients with or at risk for osteoporosis.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0210.019

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 head0.082
GPT teacher head0.408
Teacher spread0.327 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations19
Published2006
Admission routes1
Has abstractyes

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