Concurrent HPV DNA testing and a visual inspection method for cervical precancer screening: A practical approach from Battor, Ghana
Bibliographic record
Abstract
Cytology-based cervical cancer screening programs have been difficult to implement and scale up in developing countries. Thus, the World Health Organization recommends a 'see and treat' approach by way of hr-HPV testing and visual inspection. We aimed to evaluate concurrent HPV DNA testing and visual inspection in a real-world low-resource setting by comparing the detection rates of concurrent visual inspection with dilute acetic acid (VIA) or mobile colposcopy and hr-HPV DNA testing to standalone hr-HPV DNA testing (using the careHPV, GeneXpert, AmpFire, or MA-6000 platforms). We further compared their rates of loss to follow-up. This retrospective, descriptive cross-sectional study included all 4482 women subjected to cervical precancer screening at our facility between June 2016 and March 2022. The rates of EVA and VIA 'positivity' were 8.6% (95% CI, 6.7-10.6) and 2.1 (95% CI, 1.6-2.5), respectively, while the hr-HPV-positivity rate was 17.9% (95% CI, 16.7-19.0). Overall, 51 women in the entire cohort tested positive on both hr-HPV DNA testing and visual inspection (1.1%; 95% CI, 0.9-1.5), whereas a large majority of the women tested negative (3588/4482, 80.1%) for both and 2.1% (95% CI, 1.7-2.6) tested hr-HPV-negative but visual inspection 'positive'. In total, 191/275 (69.5%) participants who tested hr-HPV positive on any platform, as a standalone test for screening, returned for at least one follow-up visit. In light of factors such as poor socioeconomic circumstances, additional transportation costs associated with multiple screening visits, and lack of a reliable address system in many parts of Ghana, we posit that standalone HPV DNA testing with recall of hr-HPV positives will be tedious for a national cervical cancer prevention program. Our preliminary data show that concurrent testing (hr-HPV DNA testing alongside visual inspection by way of VIA or mobile colposcopy) may be more cost-effective than recalling hr-HPV-positive women for colposcopy.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".