Comparison of the Hybrid Capture 2 and cobas 4800 Tests for Detection of High-Risk Human Papillomavirus in Specimens Collected in PreservCyt Medium
Bibliographic record
Abstract
Clinical cervical cytology specimens (n = 466) collected in PreservCyt (Hologic Inc.) were used to evaluate the agreement between Hybrid Capture 2 (hc2; Qiagen) and cobas 4800 (c4800; Roche Molecular Diagnostics) for the detection of high-risk human papillomavirus (HR HPV) genotype infections. The agreement between the two assays was 93.8% (kappa = 0.87; 95% confidence interval, 0.828 to 0.918), with 186 and 251 concordant positive and negative results, respectively. All 186 concordant positives were confirmed using the Linear Array (LA; Roche Molecular Diagnostics) genotyping test. Of the 29 samples with discordant results (6.2%), 18 were hc2 positive and LA verified 17 as positive for HR HPV. Eleven discordant specimens were c4800 positive, and LA confirmed 5 as positive for HR HPV. As of October 2009, practice guidelines in Alberta, Canada, recommend reflex HPV testing for women over 30 years old with atypical squamous cells of undetermined significance (ASCUS) and for women over 50 years old with low-grade squamous intraepithelial lesions (LSIL) to help prioritize those who should undergo further evaluation. In this study, agreement between hc2 and c4800 results for samples from women over 30 years old with ASCUS cytology was 92.3% (n = 13), while no samples from women over 50 years old with LSIL cytology were identified for analysis.
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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 | 0.013 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".