Cost-Effectiveness of Alendronate in the Prevention of Osteoporotic Fractures in Danish Women
Bibliographic record
Abstract
Changes in total bone mineral density determined by the bone-ash method were recently demonstrated in rats, exposed to Herring oil from the contaminated southern part of the Baltic Sea. In the present study more detailed analysis of bone structure and biomechanics was performed and obtained results were evaluated in the context of dietary factors, such as polyunsaturated fatty acids, vitamin D and vitamin A. Baltic Sea herring oil was fractionated into one relatively pollutant-free fraction (F1), and two fractions with pronounced enrichment of pollutants (F2 and F3). Female Sprague-Dawley rats were fed diets supplemented with Baltic Herring oil, its fractions, Nordic Sea capelin oil or soy oil. Femur was scanned with peripheral quantitative computed tomography (pQCT) and also tested by a mechanical compression analysis. Polyunsaturated fatty acids, vitamin A and D were analysed in serum. Rats fed the high dose of herring oil exhibited shorter femur length with decreased diaphyseal cortical bone mineral density, as well as lowered metaphyseal cross-sectional area compared to the soy oil group. Rats fed the high dose of F1 diet had increased cortical and decreased trabecular area, and higher total and trabecular bone mineral density. Rats fed the low dose of F2 diet showed similar changes associated with increased maximum load and energy absorption in compression test of the femoral metaphysis. In summary, our findings in changes of bone geometry and density could not be linked to any isolated exposure parameter, suggesting synergistic or antagonistic effects of several components of the test diets.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".