Background: Cancer is the leading cause of mortality in people living with HIV (PWH) and is expected to account for a growing fraction of deaths as PWH age.
Methods: In this literature review, we have compiled the most recent developments in cancer screening and screening performance in PWH, which are currently primarily implemented in well-resourced settings. This includes an assessment of the associated benefits, harms, and cost-effectiveness. The article also addresses unmet needs and potential strategies for tailored screening in the HIV population.
Findings: Incidence and mortality due to screenable cancer are higher in PWH than in the general population, and diagnosis is frequently made at younger ages and/or at more advanced stages, the latter amenable to improved screening. Adequate evidence on the benefits of screening is lacking for most cancers in the HIV population, in whom standard practice may be suboptimal. While cancer surveillance has helped reduce mortality in the general population, and interest in risk-based strategies is growing, implementation of screening programs in the HIV care settings remains low.
Interpretation: Given the devastating consequences of a late diagnosis, enhancing early detection of cancer is essential for improving patient outcomes. There is an urgent need to extend the investigation in cancer screening performance to PWH, evaluating whether personalized measures according to individual risk could result in higher efficiency and improve patient outcomes.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660116 | PMC |
http://dx.doi.org/10.1002/cam4.6585 | DOI Listing |
Int J Clin Oncol
January 2025
Translational Research Support Section, National Cancer Center Hospital East, Chiba, Japan.
Early cancer detection substantially improves the rate of patient survival; however, conventional screening methods are directed at single anatomical sites and focus primarily on a limited number of cancers, such as gastric, colorectal, lung, breast, and cervical cancer. Additionally, several cancers are inadequately screened, hindering early detection of 45.5% cases.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Community & Family Medicine, All India Institute of Medical Sciences, 151001, Bathinda, Punjab, India.
Introduction: Existing evidence suggests a lower uptake of cervical cancer screening among Indian women. Coverage is lower in rural than urban women, but such disparities are less explored. So, the present study was conducted to explore the self-reported coverage of cervical cancer screening in urban and rural areas stratified by socio-demographic characteristics, determine the spatial patterns and identify any regional variations, ascertain the factors contributing to urban-rural disparities and those influencing the likelihood of screening among women aged 30-49 years factors residing in urban, rural, and overall Indian settings.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Pathology, School of Medical Sciences, Clinical Teaching Center, University of Cape Coast, Private Mail Bag, Cape Coast, Ghana.
Cervical cancer continues to disproportionately burden women in sub-Saharan Africa, and is the commonest gynecological cancer in Ghana. The Cervical Cancer Prevention and Training Centre (CCPTC), Battor, Ghana spearheaded the Ghana arm of the mPharma 10,000 Women Initiative (mTTWI) between September 2021 and October 2022. The aim of this study was to examine the outcomes of nationwide concurrent screening using high-risk human papillomavirus (hr-HPV) DNA testing and visual inspection methods, as well as factors associated with the screening outcomes.
View Article and Find Full Text PDFISA Trans
January 2025
Department of Electronics and Telecommunication, C. V. Raman Global University, Bhubaneswar 752054, Odisha, India. Electronic address:
Early and highly accurate detection of rapidly damaging deadly disease like Acute Lymphoblastic Leukemia (ALL) is essential for providing appropriate treatment to save valuable lives. Recent development in deep learning, particularly transfer learning, is gaining a preferred trend of research in medical image processing because of their admirable performance, even with small datasets. It inspires us to develop a novel deep learning-based leukemia detection system in which an efficient and lightweight MobileNetV2 is used in conjunction with ShuffleNet to boost discrimination ability and enhance the receptive field via convolution layer succession.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!