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Record W2406384048

[Glucocorticoid and Bone. The changes of Japanese and foreign guidelines for the management of glucocorticoid-induced osteoporosis].

2014· review· en· W2406384048 on OpenAlexaboutno aff
Satoshi Soen

Bibliographic record

VenuePubMed · 2014
Typereview
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsTeriparatideFRAXOsteoporosisMedicineGlucocorticoidBone mineralInternal medicinePhysical therapyOsteoporotic fracture
DOInot available

Abstract

fetched live from OpenAlex

The American College of Rheumatology (ACR) developed recommendations for the prevention and treatment of glucocorticoid- induced osteoporosis (GIO) in 1996. As the beneficial effects of bisphosphonates on GIO were reported from 1997 to 1999, guidelines for the management of GIO were also published from the United Kingdom, Canada, and Australia. In Japan, the Japanese Society for Bone and Mineral Research released guidelines on the management and treatment of GIO in 2005. An approach trying to determine the pharmacological intervention threshold based on assessment of the absolute risk of fractures was initiated in the mid-2000s and FRAX®, a WHO-supported, computer-based, fracture risk assessment was published in 2007. Regarding pharmacological intervention, the efficacy of teriparatide for the treatment of GIO was reported from 2007 to 2009. Based on such new evidence regarding GIO, the ACR recommendation was updated to incorporate FRAX® as an assessment tool for fracture risk in the 2010 revision. The Joint GIO Guidelines Working Group of the International Osteoporosis Foundation and the European Calcified Tissue Society has also published a framework for the development of guidelines for the management of GIO.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.963
Threshold uncertainty score0.626

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.123
GPT teacher head0.345
Teacher spread0.221 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations0
Published2014
Admission routes1
Has abstractyes

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