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Selective screening for cervical neoplasia: an approach for resource-poor settings
C Hoyo1, W C Miller, B M Newman
1Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7400, USA.
International Journal of Epidemiology
|October 18, 2000
Summary
Developing risk scores can help identify women at high risk for cervical cancer in low-resource settings. These scores use factors like age, pregnancies, poverty, and smoking for selective screening.
Area of Science:
- Oncology
- Epidemiology
- Public Health
Background:
- Cervical malignancies pose a significant health burden in developing nations.
- Current cytological screening programs are often financially unfeasible in these regions.
- There is a need for cost-effective cervical cancer detection strategies.
Purpose of the Study:
- To develop and evaluate risk assessment tools for selective cervical cancer screening.
- To identify demographic and lifestyle factors predictive of cervical neoplasia.
- To assess the utility of weighted and unweighted risk scores in identifying high-risk women.
Main Methods:
- A population-based case-control study in Jamaica involving 202 cases and 363 controls.
- Logistic regression analysis to determine independent risk factors for cervical neoplasia.
- Development of an unweighted risk score (count of risk factors) and a weighted risk score (sum of regression coefficients).
Main Results:
- Older age, higher parity (>= 4 pregnancies), poverty, and cigarette smoking were significant predictors of cervical neoplasia.
- The weighted risk score achieved 75% sensitivity and 61% specificity.
- The unweighted risk score achieved 65% sensitivity and 69% specificity.
- Receiver operating characteristic (ROC) curve analysis indicated similar overall accuracy between the two scoring methods.
Conclusions:
- Selective screening using risk assessment is a viable strategy, especially in resource-limited settings.
- The necessity of weighting risk factors depends on local factor prevalence.
- Demographic factors can effectively identify women at highest risk for cervical neoplasia during routine clinic visits, warranting further validation in diverse populations.
