Secondary hyperparathyroidism in primary osteoporosis and osteopenia: optimizing calcium and vitamin D intakes to levels recommended by expert panels may not be sufficient for correction
Bibliographic record
Abstract
OBJECTIVE: To compare biochemical variables, renal function and calcium and vitamin D intakes in euparathyroid and hyperparathyroid patients with primary osteoporosis and osteopenia and describe the measures necessary to normalize serum PTH in the patients with secondary hyperparathyroidism. DESIGN AND PATIENTS: We reviewed the charts of normocalcemic patients with primary osteoporosis and osteopenia first seen during the years 1991-2003 and identified 75 with elevated serum PTH levels at baseline. These patients were compared to all the 143 euparathyroid patients first seen in 1998 and 1999. Patients were restudied after 1 year and we attempted to follow patients with secondary hyperparathyroidism until PTH levels became normal. MEASUREMENTS: At baseline serum PTH, ionized calcium, inorganic phosphate, alkaline phosphatase, creatinine, a complete blood count and serum 25 hydroxy vitamin D were measured in the early morning fasting state. These tests were repeated at follow up. RESULTS: In one-third of the hyperparathyroid patients, the standard baseline treatment failed to correct the secondary hyperparathyroidism necessitating extraordinary measures including unusually large doses of vitamin D (i.e. 50 000 IU vitamin D(2) twice weekly) or the substitution of calcium citrate for calcium carbonate as a calcium supplement. CONCLUSION: Large doses of vitamin D are frequently necessary to suppress secondary hyperparathyroidism in patients with primary osteoporosis and osteopenia. This suggests that vitamin D metabolism may be altered in some of these patients.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".