HPV DNA Testing and Mobile Colposcopy for Cervical Precancer Screening in HIV Positive Women: A Comparison Between Two Settings in Ghana and Recommendation for Screening
Bibliographic record
Abstract
Introduction Women living with HIV (WLHIV) have higher prevalence and persistence rates of high-risk human papillomavirus (hr-HPV) infection with a six-fold increased risk of cervical cancer. Thus, more frequent screening is recommended for WLHIV. Objectives This retrospective descriptive cross-sectional study was conducted to investigate and compare the prevalence of hr-HPV infection and abnormal findings on mobile colposcopy in two cohorts of WLHIV following cervical screening in rural and urban settings in Ghana. Methods Through the mPharma 10 000 Women Initiative, WLHIV were screened via concurrent hr-HPV DNA testing (MA-6000; Sansure Biotech Inc., Hunan, China) and visual inspection (Enhanced Visual Assessment [EVA] mobile colposcope; MobileODT, Tel Aviv, Israel) by trained nurses. The women were screened while undergoing routine outpatient reviews at HIV clinics held at the Catholic Hospital, Battor (rural setting) and Tema General Hospital (urban setting), both in Ghana. Results Two-hundred and fifty-eight WLHIV were included in the analysis (rural, n = 132; urban, n = 126). The two groups were comparable in terms of age, time since HIV diagnosis, and duration of treatment for HIV. The hr-HPV prevalence rates were 53.7% (95% CI, 45.3–62.3) and 48.4% (95% CI, 39.7–57.1) among WLHIV screened in the rural vs urban settings ( p-value = .388). Abnormal colposcopy findings were found in 8.5% (95% CI, 5.1–11.9) of the WLHIV, with no significant difference in detection rates between the two settings ( p-value = .221). Three (13.6%) of 22 women who showed abnormal colposcopic findings underwent loop electrosurgical excision procedure (LEEP), leaving 19/22 women from both rural and urban areas with pending treatment/follow-up results, which demonstrates the difficulty faced in reaching early diagnosis and treatment, regardless of their area of residence. Histopathology following LEEP revealed CIN III in 2 WLHIV (urban setting, both hr-HPV negative) and CIN I in 1 woman in the rural setting (hr-HPV positive). Conclusions There is a high prevalence of hr-HPV among WLHIV in both rural and urban settings in this study in Ghana. Concurrent HPV DNA testing with a visual inspection method (colposcopy/VIA) reduces loss to follow-up compared to performing HPV DNA testing as a standalone test and recalling hr-HPV positive women for follow up with a visual inspection method. Concurrent HPV DNA testing and a visual inspection method may also pick up precancerous cervical lesions that are hr-HPV negative and may be missed if HPV DNA testing is performed alone.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".