Comparison of APTIMA HPV E6/E7 mRNA and Hybrid Capture 2 Assays using Wet and Dry Self-Collected Flocked Vaginal Swabs and PreservCyt L-Pap Samples
Bibliographic record
Abstract
Background: Performance of HPV assays on less invasive specimens can be assessed through agreement of assays and specimen types as well as the ability to identify patients with precancerous lesions. Objectives: To compare the APTIMA HPV (AHPV) E6/E7 mRNA assay to the HC2 DNA test for high risk (HR) HPV performed on PreservCyt L-Pap cervical specimens and flocked self-collected vaginal swabs (SCVS) transported to the laboratory wet or dry. Results: Testing specimens from 100 women attending a colposcopy clinic showed 90.7% (k=0.81) agreement between HC2 and AHPV assays for PreservCyt specimens. Agreement was 80.2% (K=0.80) to 88.0% (K=0.76) between L-Pap and wet and dry SCVS respectively and 89.2% (K=0.77) between the 2 SCVS by AHPV testing. For HC2, the agreement was 90.6% (k=0.81) to 89.2% (k=0.78) between L-Pap and the 2 swabs and 96.0% (k=0.90) between wet and dry swabs. Using pathology (CIN2+) as the reference standard, SCVS tested by AHPV demonstrated sensitivities of 88.8% for dry and 90% for wet SCVS, compared to 86.4% for L-Pap samples. HC2 testing of wet and dry SCVS was 70.8% sensitive compared to 94.4% for L-Pap samples. Conclusion: SCVS collected with flocked nylon swabs transported wet or dry may serve as alternative specimens for HPV testing of women who are reluctant to have a pelvic examination.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".