Evaluation of the Performance of Self-sampling Versus Clinician-collected Sampling for Cervical Cancer Screening
Keywords:
Self Sampling, Cervical cancer, pap smearAbstract
Introduction: Regional variations exist in the incidence and mortality rates of cervical cancer, with higher rates observed in low- and middle-income countries (LMICs) compared to high-income countries. This difference can be attributed to the implementation of standardised screening systems in high-income countries. In LMICs, cervical cancer is the second most prevalent cancer and ranks as the third leading cause of cancer-related deaths among women. Importantly, women in LMICs face a higher lifetime risk of developing cervical cancer, estimated at 1.6%, compared to the 0.9% risk observed in high-income countries. The objective of the study was to compare the effectiveness of self-sampling and clinician-collected sampling methods for cervical cancer screening.
Methods: The sample included 100 participants and a total of 200 samples were collected (2 samples from each participant). This cross-sectional study spanned one year, from July 1, 2021, to June 30, 2022. Non-pregnant women aged 30-70 years were recruited as participants. The collected data underwent appropriate statistical analysis.
Results: The study results indicated that 88% of participants tested negative for HPV DNA according to the clinician’s assessment, while 12% tested positive, and none had an inhibition result. In terms of the HPV DNA impression by clinicians, 12% of participants had a positive result, while 88% had a negative result.
Conclusion: The study revealed nearly equal HPV DNA positivity between self-sampling and clinician-collected samples, with significant agreement and high sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).
How to cite this article:
Meena DK, Singh A, Singh RK, Chauhan M. Evaluation of the Performance of Self-sampling Versus Clinician-collected Sampling for Cervical Cancer Screening. J Adv Res Med Sci Tech. 2023;10(1&2):8-17.
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