ItN Nanovation arranges €2mn short-term loan
Bibliographic record
Abstract
The aim of this study was to determine the changes in serum vitamin D distribution at an institute in India over the past 6 y and compare it with global trends.We conducted an audit of 25-hydroxyvitamin D (25-OHD), calcium, and plasma intact parathyroid hormone (iPTH) reporting from January 2011 to February 2016. References for review were identified through searches of PubMed, Medline, and Embase for articles published until February 2016 using keywords “hypervitaminosis D” (MeSH Terms) OR “vitamin D toxicity” (All Fields) OR “vitamin-D intoxication” (All Fields).Reports of 25-OHD from 5527 patients were analyzed. Calcium and iPTH were available for 5501 (99.5%) and 1787 (32.3%) patients, respectively. Vitamin D deficiency and insufficiency were observed in 59.4 and 77.3%. Hypervitaminosis D (25–OHD >250 nmol/L) was noted in 225 (4.1%) patients, of whom 151 (2.7%) had vitamin D intoxication (25-OHD >375 nmol/L). We found that 46.22% (104 of 225) patients with hypervitaminosis D and 62.25% (94 of 151) with vitamin D intoxication had elevated calcium or suppressed iPTH. Orthopedic, pediatric, and surgery patients had the highest rates of hypervitaminosis D (7.9, 7.2, and 7% respectively; P < 0.001). An increasing trend for hypervitaminosis D was observed (1.48, 3.62, 3.90, 4.78, 6.21, and 7.82% in 2011, 2012, 2013, 2014, 2015, and 2016, respectively). A similar steady upward trend in 25-OHD has been reported in Ireland, England, Canada, and Australia. However, hypervitaminosis D reports are scant and have not increased over the years in the developed world.There is a global secular trend of increases in 25-OHD over years. There is a disturbing trend of increased hypervitaminosis D at an Indian institute. Empiric, unmonitored, prolonged vitamin D supplementation, using non-recommended supraphysiological doses, especially when administered intramuscularly, should be discouraged.
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 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 | 0.000 | 0.000 |
| 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 | 0.001 |
| 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 teacher head, 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".