Comparing the Performance of Hybrid Capture II and Polymerase Chain Reaction (PCR) for the Identification of Cervical Dysplasia in the Screening and Diagnostic Settings
Bibliographic record
Abstract
OBJECTIVE: Both PCR and Hybrid Capture II (HCII) have been used for identifying cervical dysplasia; however, comparisons on the performance between these two tests show inconsistent results. We evaluated the performance of HCII and PCR MY09/11 in both screening and diagnostic populations in sub-sample of 1,675 non-pregnant women from a cohort in three clinical centers in the United States and Canada. METHODS: Sensitivity, specificity, positive predictive value, negative predictive value, and concordance between the two tests were calculated. RESULTS: Specificity of HCII in detecting low-grade squamous intraepithelial lesion (LSIL) was higher in the screening group (88.7%; 95% CI: 86.2%-90.8%) compared to the diagnostic group (46.3%; 95% CI: 42.1%-50.6%); however, specificity of PCR was low in both the screening (32.8%; 95% CI: 29.6%-36.2%) and diagnostic (14.4%; 95% CI: 11.6%-17.6%) groups. There was comparable sensitivity by both tests in both groups to detect high-grade squamous intraepithelial lesion (HSIL); however, HCII was more specific (89.1%; 95% CI: 86.8%-91.0%; 66.2%; 95% CI: 62.0%-70.1%) than PCR (33.3%; 95% CI: 30.2%-36.5%; 17.9%; 95% CI: 14.8%-21.6%) in the screening and diagnostic groups, respectively. Overall agreement for HPV positivity was approximately 50% between HCII and PCR MY09/11; with more positive results coming from the PCR MY09/11. CONCLUSION: In the current study, PCR MY09/11 was more sensitive but less specific than HCII in detecting LSIL, and HCII was more sensitive and specific in detecting HSIL than PCR in both screening and diagnostic groups.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".