Transitioning cytomegalovirus viral load testing from a laboratory developed test to the cobas<sup>®</sup> CMV quantitative nucleic acid assay
Bibliographic record
Abstract
Commutability between human cytomegalovirus (CMV) viral load assays (VLA) is poor, despite the development of a WHO CMV International Standard (CMV IS). We evaluated a new CMV VLA, cobas® CMV, as compared to our current laboratory developed CMV VLA (LDT), for clinical use. Both the LDT and cobas® CMV were run in parallel for 109 patient samples. In addition, 104 replicates, over 8 dilutions, of the CMV IS were tested. Conversion factors and correlation between the two assays were calculated. The correlation coefficient between the LDT and cobas® CMV was 0.91 for patient samples. The Bland‐Altman graph displayed a systematic bias of +0.31 log10 for the cobas® CMV as compared to the LDT. The bias was greater for lower CMV viral loads. This increase in CMV viral loads was not seen with testing of the CMV IS dilutions by both the LDT and cobas® CMV. CMV VLA inter‐assay commutability continues to be an issue when switching CMV testing platforms and requires communication between the laboratory and clinicians during the transition period to prevent misinterpretation of results.
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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 | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".