Bone status in patients with chronic hypoparathyroidism: results from the Italian HypoparaNET database
Bibliographic record
Abstract
BACKGROUND: Chronic hypoparathyroidism (HypoPT) is a rare endocrine condition, having variable etiology, characterized by low parathyroid hormone levels, leading to reduced calcium levels and increased phosphorus values in the blood. Bone health is an important clinical aspect to be considered in patients with HypoPT, whose skeleton is exposed both to the HypoPT-induced alteration of bone mass and microarchitecture, and to the natural occurrence and progression of bone mass loss due to menopause and ageing. AIM: Investigating bone status in a cohort of Italian HypoPT patients from the HypoparaNET database. METHODS: In this cross-sectional study, we retrospectively analyzed bone status in 162 adult, and 11 children and adolescent HypoPT cases, based to their sex, age, HypoPT etiology, urinary excretion of calcium and phosphate, and serum level of 25(OH)-vitamin D. RESULTS: Overall prevalence of osteoporosis in adult HypoPT patients was found to be slightly lower to that of the general population (17.3% vs 18.3%), increasing with ageing and being more frequent in postmenopausal women. Data from our HypoPT cohort confirmed that ageing and female sex are independent risk factors for osteoporosis, even among individuals with HypoPT. DISCUSSION: Results from this study suggest the importance of a regular follow-up of bone health in HypoPT, especially in postmenopausal women and young patients with a genetic form of HypoPT. CONCLUSIONS: Medical therapies aim at restoring a balanced bone turnover and preventing bone tissue loss could be indicated in HypoPT cases with reduced bone mass to grant a better bone health at any age.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".