Should Calcium Supplementation be Abandoned in Patients With Calcinosis Cutis?
Bibliographic record
Abstract
Calcinosis cutis, characterized by the pathological deposition of insoluble calcium salts in the skin, is associated with several disease entities, particularly autoimmune conditions such as scleroderma and dermatomyositis. Lesions of calcinosis are often painful, prone to ulceration, and significantly impair quality of life. Despite the clinical impact, no effective treatments have been established to date, making prevention of this condition a critical priority. In this narrative review, we explore the evidence suggesting that calcium supplementation may contribute to skin calcification. Calcium supplements have been demonstrated to transiently elevate plasma calcium levels, potentially promoting dystrophic tissue calcification—a process that may be exacerbated in a context of magnesium and vitamin K2 deficiencies. Furthermore, calcium supplementation has been associated with an increased risk of adverse cardiovascular events; this concern is particularly relevant in patients with autoimmune diseases who already face elevated cardiovascular comorbidity. Notably, there is no robust evidence supporting the efficacy of calcium supplementation in preventing osteoporosis. Instead, sufficient dietary intake of calcium and protein, along with the supplementation of micronutrients critical for calcium homeostasis (magnesium, zinc, vitamin D 3 , and vitamin K 2 ), should be considered as alternatives to calcium supplementation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".