A Randomized Double-Blind Trial to Compare the Efficacy of Teriparatide [Recombinant Human Parathyroid Hormone (1–34)] with Alendronate in Postmenopausal Women with Osteoporosis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Teriparatide (rDNA origin) injection [recombinant human PTH (1-34)] stimulates bone formation, increases bone mineral density (BMD), and restores bone architecture and integrity. In contrast, bisphosphonates reduce bone resorption and increase BMD. We compared the effects of teriparatide and alendronate sodium on BMD, nonvertebral fracture incidence, and bone turnover in 146 postmenopausal women with osteoporosis. Women were randomized to either once-daily sc injections of teriparatide 40 micro g plus oral placebo (n = 73) or oral alendronate 10 mg plus placebo injection (n = 73). Median duration of treatment was 14 months. At 3 months, teriparatide increased lumbar spine BMD significantly more than did alendronate (P < 0.001). Lumbar spine-BMD increased by 12.2% in the teriparatide group and 5.6% in the alendronate group (P < 0.001 teriparatide vs. alendronate). Teriparatide increased femoral neck BMD and total body bone mineral significantly more than did alendronate, but BMD at the one third distal radius decreased, compared with alendronate (P < or = 0.05). Nonvertebral fracture incidence was significantly lower in the teriparatide group than in the alendronate group (P < 0.05). Both treatments were well tolerated despite transient mild asymptomatic hypercalcemia with teriparatide treatment. In conclusion, teriparatide, a bone formation agent, increased BMD at most sites and decreased nonvertebral fractures more than alendronate.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it