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To understand the impact of demographic, behavioral and contextual factors on cervical cancer, we examined the profile of women classified according to cervical cancer staging [precursor lesions cervical intraephitelial neoplasia (CIN2/CIN3), early- and advanced-stage cancer]. Patients were identified in the main oncological reference hospital in Pará State, Brazil, from 2013 through 2015. Adjusted prevalence ratios and their respective 95% confidence intervals were estimated using Poisson regression with robust variance. The study included 172 cases of CIN2/CIN3 lesions, 158 of early stage and 552 of advanced stage of cervical cancer. The proportion of gynecological complaints as a reason for clinic visit was 2.3 times higher among patients at an early stage compared with patients with CIN2/CIN3 lesions. Compared with early-stage cancer groups, the prevalence of advanced-stage cancer was higher among older patients, those without paid activity (adjusted prevalence ratio = 1.15; confidence interval 95%: 1.03-1.29), those who never had a Pap test (adjusted prevalence ratio = 1.23; confidence interval 95%: 1.08-1.40), those who were seen at the hospital clinic due to gynecological complaints (adjusted prevalence ratio = 1.48; confidence interval 95%: 1.19-1.85) and those who underwent biopsy in the private care system (adjusted prevalence ratio = 1.12; confidence interval 95%: 1.02-1.22). These differences seem to reflect problems in the health system, low socioeconomic level and poor awareness of the importance of Pap tests among those with a diagnosis of advanced-stage cervical cancer.
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http://dx.doi.org/10.1097/CEJ.0000000000000546 | DOI Listing |
Int J Cancer
September 2025
Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Cervical cancer remains a significant public health issue, ranking as the fourth most common cancer in women globally. In the Netherlands, cervical cancer incidence declined steadily from 1989 to 2001 but increased between 2001 and 2007. This study updates trends in cervical cancer incidence from 1989 to 2023 in the Netherlands and evaluates the impact of screening practices and participation rates in the national population-based screening program.
View Article and Find Full Text PDFCochrane Database Syst Rev
September 2025
Institute for Evidence in Medicine, Medical Center - University of Freiburg / Medical Faculty - University of Freiburg, Freiburg, Germany.
Rationale: Cervical cancer is the fourth most common cancer affecting women worldwide, caused by persistent infection with oncogenic human papillomavirus (HPV) types. While HPV infections usually resolve spontaneously, persistent infections with high-risk HPV types can progress to premalignant glandular or - mostly - squamous intraepithelial lesions, usually classified in cervical intraepithelial neoplasia (CIN). Women with CIN 2 and CIN 3 (i.
View Article and Find Full Text PDFRep Pract Oncol Radiother
August 2025
University Teaching Department, Chhattisgarh Swami Vivekanand Technical University, Bhilai, India.
Cervical cancer continues to pose a significant global health challenge, highlighting the urgent need for accurate and efficient diagnostic techniques. Recent progress in deep learning has demonstrated considerable potential in improving the detection and classification of cervical cancer. This review presents a thorough analysis of deep learning methods utilized for cervical cancer diagnosis, with an emphasis on critical approaches, evaluation metrics, and the ongoing challenges faced in the field.
View Article and Find Full Text PDFRep Pract Oncol Radiother
August 2025
University Teaching Department, Chhattisgarh Swami Vivekanand Technical University, Bhilai, India.
Background: Cervical cancer (CC) is a leading cause of cancer-related deaths worldwide, emphasizing the need for accurate and efficient diagnostic tools. Traditional methods of cervical cell classification are time-consuming and susceptible to human error, highlighting the need for automated solutions.
Materials And Methods: This study introduces the modified hierarchical deep feature fusion (HDFF) method for cervical cell classification using the SIPaKMeD and Herlev datasets.
Front Oncol
August 2025
Hunan Cancer Hospital, The Affiliated Cancer Hospital, Xiangya School of Medicine, Central South University, Changsha, Hunan, China.
Tislelizumab, an anti-PD-1 monoclonal antibody, is associated with immune-related hepatitis in 1.8% of cases, but reports of acute liver failure (ALF) remain exceedingly rare. We present a case of fulminant hepatitis and ALF following Tislelizumab therapy in a 55-year-old woman with locally advanced cervical adenocarcinoma.
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