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Consistency in human papillomavirus type detection between self‐collected vaginal specimens and physician‐sampled cervical specimens
Ist Teil von
Journal of medical virology, 2024-03, Vol.96 (3), p.e29426-n/a
Ort / Verlag
United States: Wiley Subscription Services, Inc
Erscheinungsjahr
2024
Quelle
MEDLINE
Beschreibungen/Notizen
With the rising need for accessible cervical cancer screening, self‐sampling methods offer a promising alternative to traditional physician‐led sampling. This study aims to evaluate the efficacy of the HygeiaTouch Self Sampling Kit for Women in detecting human papillomavirus (HPV) types and predicting cervical lesions. We studied the concordance in identifying high‐risk HPV (hrHPV) types between samples collected by physicians and those self‐collected by women using a self‐sampling kit for validation. Women aged 21–65, fitting into specific categories based on their cervical health history were eligible. Cohen's kappa coefficient to gauge concordance between the two specimen types and relative accuracy metrics in identifying cervical intraepithelial neoplasia (CIN) were also calculated, with physician‐sampled specimens serving as a reference. A total of 1210 participants from three institutes were involved. The self‐sampling kit closely matched the physician‐led method in terms of collecting valid specimens (100% vs. 100%), identifying hrHPV types (kappa: 0.75, 95% confidence interval [95% CI]: 0.72–0.79; agreement: 87.7%, 95% CI: 85.8–89.6) and predicting CIN grade 2 or worse (CIN2+) (relative sensitivity: 0.949, relative accuracy: 0.959). Kappa values varied between 0.71 and 0.83 for different hrHPV types and combinations, with an overall value 0.75 (95% CI: 0.72–0.79) signifying robust compatibility between the two methods. Our study underscores the potential of the HygeiaTouch Self Sampling Kit as a reliable, efficient, and user‐friendly alternative to traditional sampling methods. This suggests that self‐sampling could be pivotal in expanding cervical cancer screening accessibility and enhancing detection rates.