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Record W2062935202 · doi:10.1517/14656566.7.11.1457

Treating osteoporosis: economic aspects of bisphosphonate therapy

2006· review· en· W2062935202 on OpenAlexaff
Courtney Kennedy, Αλεξάνδρα Παπαϊωάννου, Jonathan D. Adachi

Bibliographic record

VenueExpert Opinion on Pharmacotherapy · 2006
Typereview
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsSt. Joseph’s Healthcare HamiltonHamilton Health SciencesMcMaster University
Fundersnot available
KeywordsMedicineOsteoporosisIntensive care medicineQuality of life (healthcare)BisphosphonateHealth economicsDiseaseEconomic evaluationCost effectivenessHealth carePhysical therapyPublic healthNursingInternal medicineRisk analysis (engineering)

Abstract

fetched live from OpenAlex

Each year, fractures associated with osteoporosis place a significant burden on healthcare spending and result in unnecessary morbidity, mortality and reductions in quality of life for individual patients. Several treatments are available that can improve the course of this chronic bone disease, and lead to significant reductions in fractures. Bisphosphonates have proven efficacy, are widely available and currently recommended as the first-line of therapy for osteoporosis in many practice guidelines. In addition to demonstrating clinical benefit, from a health-policy perspective, the economic benefits regarding prevention and treatment must be established. In recent years, several health economic studies have examined the cost-effectiveness and cost-utility of bisphosphonates in various patient groups. This paper reviews a number of these studies regarding the economic benefits of treating osteoporosis with bisphosphonates and considers for whom prevention and/or treatment is most warranted.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.093
GPT teacher head0.455
Teacher spread0.362 · 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

Citations5
Published2006
Admission routes1
Has abstractyes

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