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Paolo Giorgi-Rossi

Researcher at Academy for Urban School Leadership

Publications -  26
Citations -  3912

Paolo Giorgi-Rossi is an academic researcher from Academy for Urban School Leadership. The author has contributed to research in topics: Colposcopy & Cervical cancer. The author has an hindex of 17, co-authored 25 publications receiving 3509 citations.

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Efficacy of HPV-based screening for prevention of invasive cervical cancer: follow-up of four European randomised controlled trials

TL;DR: Data of large-scale randomised trials support initiation of HPV-based screening from age 30 years and extension of screening intervals to at least 5 years, and provide 60-70% greater protection against invasive cervical carcinomas compared with cytology.
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Efficacy of human papillomavirus testing for the detection of invasive cervical cancers and cervical intraepithelial neoplasia: a randomised controlled trial

TL;DR: HPV-based screening is more effective than cytology in preventing invasive cervical cancer, by detecting persistent high-grade lesions earlier and providing a longer low-risk period, but in younger women, HPV screening leads to over-diagnosis of regressive CIN2.
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Results at Recruitment From a Randomized Controlled Trial Comparing Human Papillomavirus Testing Alone With Conventional Cytology as the Primary Cervical Cancer Screening Test

TL;DR: The large relative sensitivity of HPV testing compared with conventional cytology and the difference between relative sensitivity during phases 1 and 2 suggests that there is frequent regression of CIN2+ that are detected by direct referral of younger HPV-positive women to colposcopy.
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Accuracy of liquid based versus conventional cytology: overall results of new technologies for cervical cancer screening: randomised controlled trial

TL;DR: Liquid based cytology showed no statistically significant difference in sensitivity to conventional cytology for detection of cervical intraepithelial neoplasia of grade 2 or more, and more positive results were found, however, leading to a lower positive predictive value.