Expert consensus on vitamin D in 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
Background: Adequate vitamin D is essential for maintaining optimal bone health, preventing and treating of osteoporosis. However, in recent years, large clinical trials and meta-analyses on the efficacy of vitamin D supplementation to prevent fractures in populations at different risks have been equivocal. The optimal level of 25-hydroxyvitamin D (25[OH]D) remains controversial. Recommendations vary between societies. The lack of standardized assays also poses a challenge in interpreting available research data. Methods: We systematically searched for articles in MEDLINE database through PubMed, which included meta-analysis, systematic reviews of randomized controlled trials (RCTs) and observational studies that assessed measurement, diagnosis and treatment about vitamin D deficiency. The experts evaluated the available literature, graded references according to the type of study and described the strength recommendations. Results: This expert consensus is based on the review of relevant clinical evidence and provides nine key recommendations on vitamin D deficiency in populations at different risks, especially in patients with osteoporosis. Supporting information is provided in the subsequent appendix box. Conclusions: This expert consensus is a practical tool for endocrinologists, general physicians for the diagnosis, assessment, and treatment of populations at different risks of vitamin D deficiency, especially in patients with osteoporosis. Clinicians should be aware of the evidence but make individualized decisions based on specific patients or situation.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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