Glucocorticoid-induced osteoporosis: treatment update and review
Bibliographic record
Abstract
Glucocorticoid-induced osteoporosis (GIO) is a serious consequence of glucocorticoid therapy leading to fractures in 30-50% of patients. A wide range of protective medications have been studied in this condition including calcium, vitamin D, vitamin D analogs, oral and intravenous bisphosphonates, sex hormones, anabolic agents and calcitonin. The mechanism of action, and evidence for these therapies, are reviewed - focusing on important trials and new evidence. Recently published guidelines are also reviewed and compared. Bisphosphonates are currently the recommended first-line therapy for the prevention and treatment of GIO. They have been shown to increase bone mineral density (BMD) at the spine and hip and to decrease the incidence of vertebral fractures (especially in postmenopausal women). Testosterone therapy and female hormone replacement therapy (HRT) have been found to increase lumbar spine BMD in hypogonadal patients on glucocorticoid therapy, but effects on hip BMD have not been consistent and there is no fracture data in the GIO population. Similarly, calcitonin increases lumbar spine BMD but has no proven fracture efficacy. The effect of selective estrogen receptor modulators, the oral contraceptive pill and strontium on GIO is relatively unknown. Parathyroid hormone (PTH 1-34) and zoledronic acid have emerged as exciting new options for the treatment of GIO. Both therapies have been found to result in gains in BMD at the spine and hip that are either noninferior or superior to those seen with oral bisphosphonate therapy. PTH 1-34 has also been found to decrease the incidence of new vertebral fractures and may be an option in high-risk patients established on long-term glucocorticoid therapy.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".