Results of Continuous Monitoring of the Performance of Rubella Virus IgG and Hepatitis B Virus Surface Antibody Assays Using Trueness Controls in a Multicenter Trial
Bibliographic record
Abstract
We conducted a multicenter trial in Canada to assess the value of using trueness controls (TC) for rubella virus IgG and hepatitis B virus surface antibody (anti-HBs) serology to determine test performance across laboratories over time. TC were obtained from a single source with known international units. Seven laboratories using different test systems and kit lots included the TC in routine assay runs of the analytes. TC measurements of 1,095 rubella virus IgG and 1,195 anti-HBs runs were plotted on Levey-Jennings control charts for individual laboratories and analyzed using a multirule quality control (MQC) scheme as well as a single three-standard-deviation (3-SD) rule. All rubella virus IgG TC results were "in control" in only one of the seven laboratories. Among the rest, "out-of-control" results ranged from 5.6% to 10% with an outlier at 20.3% by MQC and from 1.1% to 5.6% with an outlier at 13.4% by the 3-SD rule. All anti-HBs TC results were "in control" in only two laboratories. Among the rest, "out-of-control" results ranged from 3.3% to 7.9% with an outlier at 19.8% by MQC and from 0% to 3.3% with an outlier at 10.5% by the 3-SD rule. In conclusion, through the continuous monitoring of assay performance using TC and quality control rules, our trial detected significant intra- and interlaboratory, test system, and kit lot variations for both analytes. In most cases the assay rejections could be attributable to the laboratories rather than to kit lots. This has implications for routine diagnostic screening and clinical practice guidelines and underscores the value of using an approach as described above for continuous quality improvement in result reporting and harmonization for these analytes.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".