Variation in Growth Hormone Immunoassays in Clinical Practice in Canada
Bibliographic record
Abstract
BACKGROUND/AIMS: The diagnosis of growth hormone (GH) deficiency in children in Canada is based on clinical, auxological, radiographic and biochemical criteria which include response to provocative GH testing. The objective of this study was to determine the variability of GH assays used at Canadian pediatric hospitals. METHODS: Pooled samples of patient sera were generated at a single center and tested at 15 laboratories across Canada using local GH assays. Additional samples were analyzed using the most commonly employed assays. RESULTS: DSL and AutoDelfia) assays measured lower for all samples. Linear regression analysis demonstrated excellent correlation between Access 2), AutoDelfia, and Immulite 2000), however, Bland-Altman plots revealed bias when comparing these assays. CONCLUSIONS: Adequate comparison and standardization of commercially available GH immunoassays is necessary to ensure consistent interpretation of results.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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".