What question did this study set out to answer?

To evaluate a predictive model for identifying patients at risk for CIN2+ among those with low-grade cytology results and specific HPV statuses.

April 10, 2026Open Access

Prediction Score of Cervical Intraepithelial Neoplasia Grade II or Higher (CIN2+) in Patients with Low-Grade Cytology (ASC-US, LSIL) and HPV- Negative or Non-type 16/18 High-Risk HPV-Positive Results

Puntos clave

To evaluate a predictive model for identifying patients at risk for CIN2+ among those with low-grade cytology results and specific HPV statuses.
Analyzed risk factors associated with CIN2+ including reproductive history, sexual partners, smoking, screening status, HPV vaccination history, and HPV type.
Developed a predictive model to assess sensitivity and negative predictive value.
Considered patients with low-grade cytology results like ASC-US and LSIL along with HPV testing outcomes.
The predictive model exhibited a high sensitivity of 97.3%, indicating it effectively identifies most true positives for CIN2+.
The negative predictive value was 98.6%, suggesting a low rate of false negatives among those predicted not to have CIN2+.

Resumen

The risk factors for CIN2+ included having three or more deliveries, six or more lifetime sexual partners, smoking, no cervical screening within the past five years, lack of HPV vaccination, and high-risk HPV positivity (non-16/18). The predictive model demonstrated a sensitivity of 97.3% and a negative predictive value (NPV) of 98.6%.

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