HPV test self collection versus CO-testing (2015-2018): New experience in a screening program in a northern province of Argentina, Tucumán

Autor: Conrado Oscar Cinto, Adriana Beatriz Gonzalez, Veronica Ali, Maria Fernanda Arrieta, Claudia Veronica Abete, J. J. Zarba, S. Holgado
Rok vydání: 2019
Předmět:
Zdroj: Journal of Clinical Oncology. 37:e13063-e13063
ISSN: 1527-7755
0732-183X
Popis: e13063 Background: The benefits of population screening under the program in women at risk of uterine cervical cancer both methodsof detection, the search of lesions by gynecological cytology or the search for infection by oncogenic virus of the VPH family is widely demonstrated. Each of them has considerations to favor and others against. In Tucuman the two are applied since December 2014. Objective:to analyze partial results of the first stage of application of two methods under population screening program in women at risk of cervical cancer in Tucumán, Argentina. Methods: We analized the period December 2014 December 2018 of the files of the national register (SITAM: Sistema de Información de tamizaje- It is an on-line information system that allows the nominalized registration of women who access studies, diagnoses and treatments for the prevention of cervical cancer).49337samples from non-pregnant, aged 30 and older women without health insurance were included. 2 collection methods were applied: "Co-testing" (CT), cytological for PAP test and biological sampling for HPV Test ((T-HPV) and "Self-collected sampling" (SC) biological material for T-HPV. In cytology, Pap smear were stained with Papanicolaou and for the biological material, T-HPV Hybrid Capture was applied to detect 13 oncogenic HPV types. Bethesda System was used for cytological diagnosis. Results: until 2019 January, 49337 samples were processed, 7352 (14,8%) womenhave HPV oncogenic. Conclusions: the application of T-HPV to SC samples showed a interesting positivity,demonstrating once again T-HPV is an important strategy in the cervical cáncer prevention program.[Table: see text]
Databáze: OpenAIRE