Evaluation of a New APTIMA Specimen Collection and Transportation Kit for High-Risk Human Papillomavirus E6/E7 Messenger RNA in Cervical and Vaginal Samples
Bibliographic record
Abstract
BACKGROUND: An APTIMA specimen collection and transportation (SCT) kit was developed by Hologic/Gen-Probe. OBJECTIVES: To compare cervical SCT samples to PreservCyt and SurePath samples and self-collected vaginal samples to physician-collected vaginal and cervical SCT samples. To determine ease and comfort of self-collection with the kit. STUDY DESIGN: Each woman (n = 580) self-collected a vaginal SCT, then filled out a questionnaire (n = 563) to determine ease and comfort of self-collection. Colposcopy physicians collected a vaginal SCT and cervical PreservCyt, SCT, and SurePath samples. Samples were tested by APTIMA HPV (AHPV) assay. RESULTS: Agreement between testing of cervical SCT and PreservCyt was 91.1% (κ = 0.82), and that of SurePath samples was 86.7% (κ = 0.72). Agreement of self-collected vaginal SCT to physician-collected SCT was 84.7% (κ = 0.68), and that of self-collected vaginal to cervical SCT was 82.0% (κ = 0.63). For 30 patients with CIN2+, AHPV testing of cervical SCT was 100% sensitive and 59.8% specific compared with PreservCyt (96.6% and 66.2%) and SurePath (93.3% and 70.9%). Vaginal SCT sensitivity was 86.7% for self-collection and 80.0% for physician collection. Most patients found that vaginal self-collection was easy, 5.3% reported some difficulty, and 87.6% expressed no discomfort. CONCLUSIONS: Cervical samples collected with the new SCT kit compared well to traditional liquid-based samples tested by AHPV. Although there was good agreement between self-collected and physician-collected samples with the SCT, in a limited number of 30 women, vaginal sampling identified fewer with CIN2+ precancerous cervical lesions than cervical SCT sampling. Comfort, ease of use, and detection of high-risk HPV demonstrated that the kit could be used for cervical and vaginal sampling.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".