A Randomized Double-Blind Trial to Compare the Efficacy of Teriparatide [Recombinant Human Parathyroid Hormone (1–34)] with Alendronate in Postmenopausal Women with Osteoporosis
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.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".