Knowledge and Behavior of Women on Cervical Cancer in the Northern Region of Cameroon
Bibliographic record
Abstract
Background: Cervical cancer is a major cause of women death worldwide. The reduction of the mortality and morbidity of this pathology depends on the early detection based on powerful suitable screening methods, that will lead to optimal treatment strategies. However in some rural region of developing countries, it is very difficult to get access to standard screening methods, alternative screening methods, cheaper and easy to handle are then useful. Objective: The aim of this work was to test the sensitivity and specificity of VIA (Visual inspection with acetic acid) and VILI (Visual inspection with lugol iodine) as a diagnostic test of cervical cancer compared to the Pap Smear, evaluating the feasibility in health formation in the North Cameroon region, of implementing epidemiological surveillance of cervical cancer based on early diagnosis using the VIA-VILI association Method: 309 women age 20 to 62 years were recruited in this study, 307 were included in the statistical analyzes. Each woman was screened for cervical cancer by a conventional Smear and visual inspection with acetic acid 5% and the lugol solution. Results: We found in our study a prevalence of precancerous lesions of cervix at 12.70%. The risks factors of cervical cancer identified are age, matrimonial status, age of first sexual intercourse and parity. The association of VIA and VILI showed a sensitivity, specificity, positive and negative predictive value respectively about 93.58%; 97.01%; 82.01%, 99.04%. Conclusion: Compared to PAP Smear, VIA or VILI could be used as an alternative screening methods for cervical cancer in developing countries, where it is difficult to access to more accurate test such as colposcopy and biopsy.
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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) | 0.001 | 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 | 0.000 |
| 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".