Objectives: This study analyzed adherence rates to conventional cytology and associated factors in a cohort of women at a health service provider institution in Medellin, Colombia.
Study Design: Observational cohort study with repeated measures.
Methods: Clinical and sociodemographic data were obtained from databases for screenings between January 2018 and December 2022. Adherence, defined as undergoing 1, 2, or 3 cytology tests according to national guidelines, was the outcome. Statistical analysis involved a Poisson model with robust errors to identify factors associated with adherence.
Results: In total, 26,445 women were included, with a median age of 25 years (IQR: 22-27). Adherence rate was 20.4%. Having just high school education (RR = 0.51; 95% CI: 0.49-0.55), a history of pregnancy (RR = 0.63; 95% CI: 0.54-0.75), and a history of sexually transmitted infections (RR = 0.88; 95% CI: 0.78-0.99) decreased adherence. Conversely, the human papillomavirus (HPV) vaccination history increased adherence (RR = 2.11; 95% CI: 1.60-2.80).
Conclusion: It is vital to monitor cytology programs to improve demand-induced and spontaneous consultations. Diligent follow-up, focusing on patients with factors linked to low adherence, along with appointment reminders, can enhance adherence to the screening protocol.
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http://dx.doi.org/10.1016/j.puhe.2024.08.025 | DOI Listing |
PLoS One
January 2025
Nuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Epithelial cancers are typically heterogeneous with primary prostate cancer being a typical example of histological and genomic variation. Prior studies of primary prostate cancer tumour genetics revealed extensive inter and intra-patient genomic tumour heterogeneity. Recent advances in machine learning have enabled the inference of ground-truth genomic single-nucleotide and copy number variant status from transcript data.
View Article and Find Full Text PDFFront Optoelectron
January 2025
Institution of Physics, Saratov State University, Saratov, 410012, Russia.
Current study presents an advanced method for improving the visualization of subsurface blood vessels using laser speckle contrast imaging (LSCI), enhanced through principal component analysis (PCA) filtering. By combining LSCI and laser speckle entropy imaging with PCA filtering, the method effectively separates static and dynamic components of the speckle signal, significantly improving the accuracy of blood flow assessments, even in the presence of static scattering layers located above and below the vessel. Experiments conducted on optical phantoms, with the vessel depths ranging from 0.
View Article and Find Full Text PDFClin Exp Med
January 2025
Pediatrics, Western University, London, ON, Canada.
Sepsis is a major cause of morbidity and mortality worldwide. Among the various types of end-organ damage associated with sepsis, hepatic injury is linked to significantly higher mortality rates compared to dysfunction in other organ systems. This study aimed to investigate potential biomarkers of hepatic injury in sepsis patients through a multi-center, case-control approach.
View Article and Find Full Text PDFJ Viral Hepat
February 2025
Department of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
The exclusion of cirrhosis is important in chronic hepatitis B (CHB) patients with normal alanine aminotransferase (ALT). We aimed to optimise the performance of the aspartate aminotransferase to platelet ratio index (APRI) and fibrosis score based on four factors (FIB-4) to exclude cirrhosis in these patients. Five hundred and eighty four patients with normal ALT who underwent liver biopsy were included in the study.
View Article and Find Full Text PDFXi Bao Yu Fen Zi Mian Yi Xue Za Zhi
December 2024
Anhui Key Laboratory of Tissue Transplantation, Anhui Key Laboratory of Infection and Immunity, Bengbu 233030, China. *Corresponding author, E-mail:
Spinal cord injury (SCI) represents a complex pathophysiological process involving the interaction of multiple cell types. Conventional sequencing methods can only detect the average gene expression level of the damaged local cell populations, which is difficult to reflect its heterogeneity. Therefore, new technologies are needed to reveal the intercellular heterogeneity and the complex intercellular interactions of the damaged lesions.
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