Vitamin D, Parathyroid Hormone, and Acroosteolysis in Systemic Sclerosis
Bibliographic record
Abstract
OBJECTIVE: .Sclerodactyly with acroosteolysis (AO) and calcinosis are prominent features of systemic sclerosis (SSc), but the pathogenesis of these findings is poorly understood. Vitamin D and parathyroid hormone (PTH) have a crucial role in bone metabolism and resorption and may affect AO and calcinosis. We assessed vitamin D and PTH in patients with SSc. METHODS: Medical records of 134 consecutive patients with SSc (American College of Rheumatology criteria) followed at the rheumatology department during the years 2003-2006 were reviewed for clinical assessment, laboratory evaluation [including 25(OH) vitamin D, calcium, phosphorus, alkaline phosphatase, PTH, creatinine, and albumin]; imaging data confirming AO and/or calcinosis. Patients followed routinely at least once a year were included (81 patients). Of these, 60 patients' medical records were found to have complete, relevant clinical, laboratory, and radiographic imaging. RESULTS: Thirteen patients had diffuse disease and 47 limited disease - 51 women and 9 men, 44 Jews and 16 Arabs; mean age 55 +/- 14 years; disease duration 8 +/- 6 years. AO with or without calcinosis was observed in 42 patients (70%). Vitamin D deficiency was found in 46% of patients (16 out of 44 Jewish patients, 10 out of 16 Arab patients). PTH was elevated in 21.7% of patients. Significant correlations were observed between acroosteolysis and PTH (p = 0.015), calcinosis (p = 0.009), and disease duration (p = 0.008), and between PTH and vitamin D levels (p = 0.01). All patients had normal serum concentrations of calcium, phosphorus, magnesium, and albumin, and liver and kidney functions. CONCLUSION: In this group of Mediterranean patients with SSc, the incidence of vitamin D deficiency and secondary hyperparathyroidism was surprisingly high. This finding correlated with the occurrence of AO and calcinosis. Low levels of vitamin D may reflect silent malabsorption and might be a risk factor for secondary hyperparathyroidism and bone resorption. Traditional dress habits and low exposure to sun may contribute to vitamin D deficiency in an Arab population but do not explain all the findings. The pathogenesis of these findings needs to be corroborated in other SSc populations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".