Evaluation of a newly developed LC-MS/MS vitamin D assay
Bibliographic record
Abstract
Background/Aim: Globally, deficiency of vitamin D is highly prevalent. Besides the known consequences of vitamin D deficiency to bone health, there is now strong evidence that links low vitamin D status to an increase in the risk for diabetes, cancer, cardiovascular disease and autoimmune diseases. It is therefore important to have a highly accurate, reproducible and cost-effective test that is highly predictive of vitamin D status and of diagnostic value. This study was undertaken to validate a newly developed high throughput liquid chromatography with tandem mass spectrometry (LC-MS/MS) 25-hydroxy vitamin D (25(OH)D) assay against current gold standard assays measured at two independent reference laboratories. Methods: The initial study (n = 40) and follow up study (n = 40) recruited healthy adult men and women volunteers (18 to 55 years old). Vitamin D (25(OH)D) was measured using a targeted LC-MS/MS method. Results: Unexpectedly, data were not consistent with the values for 25(OH)D obtained from the two independent reference laboratories (as evidenced by correlation coefficients and Bland Altman analyses), although the results between the two reference laboratories were in agreement and highly correlated. Conclusion: These findings highlight the continued efforts and needs for harmonisation of results and standardisation of analytical methods for 25(OH)D for diagnostic accuracy.
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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 | 0.007 | 0.017 |
| 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 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".