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Record W1921481737 · doi:10.2147/tcrm.s7776

Role of teriparatide in treatment of glucocorticoid-induced osteoporosis

2010· article· en· W1921481737 on OpenAlexaff
Rick Adachi, Arthur Lau

Bibliographic record

VenueTherapeutics and Clinical Risk Management · 2010
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsMcMaster UniversitySt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsTeriparatideMedicineOsteoporosisInternal medicineBone mineralGlucocorticoidEndocrinologyRheumatology

Abstract

fetched live from OpenAlex

Glucocorticoids are commonly used in various fields within medicine. One of their most common and clinically significant side effects is glucocorticoid-induced osteoporosis (GIOP). GIOP is a disease leading to progressive decreases in bone mineral density, decreased bone strength, and increased risk of skeletal fractures. GIOP has a significant impact on the morbidity and health-related quality of life of the patients it affects. Glucocorticoids have deleterious effects on bone through promoting osteoblast apoptosis and inhibiting osteoblastogenesis. Teriparatide exerts anabolic effects on bone, so it is understandable why teriparatide is thought to be a rational treatment option. Clinical studies have indicated teriparatide is efficacious in the treatment of GIOP to improve bone mineral density values at the lumbar spine and femoral neck. Some evidence also suggests teriparatide may reduce rates of vertebral fractures in GIOP patients. Overall, this review of the current clinical evidence suggests teriparatide may be an efficacious and promising agent in the treatment of GIOP.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.043
GPT teacher head0.383
Teacher spread0.340 · 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 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

Citations18
Published2010
Admission routes1
Has abstractyes

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