Bibliographic record
Abstract
Until recently, medical management of osteogenesis imperfecta, a genetic disorder of reduced bone mass and frequent fractures, was elusive, and treatment was focused on maximizing mobility and function. The introduction of bisphosphonates for the treatment of osteogenesis imperfecta 14 years ago changed this paradigm. Cyclic intravenous pamidronate therapy leads to an increase in bone density and a decrease in fracture rate in patients with osteogenesis imperfecta. Pamidronate therapy has a positive impact on functional parameters including improved energy, decreased bone pain, and increased ambulation. Histomorphometric studies have shown that the reduced osteoclast activity results in gains in cortical thickness and trabecular bone volume. Potential negative effects may include prolonged time to heal after osteotomies and a decrease in the rate of bone remodeling. Overall, it seems clear that the benefits of pamidronate therapy outweigh its potential risks in moderate-to-severe osteogenesis imperfecta, and pamidronate therapy has become the standard of care for patients with this condition. Questions remain regarding when treatment should be stopped and the need for pamidronate therapy in patients with mild osteogenesis imperfecta.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".