Background: In India, breast and cervical cancers account for two-fifths of all cancers and are predominantly prevalent among women in the reproductive age group. The Government of India recommended screening of breast and cervical cancer among women aged 30 years and over. This study examines the socio-economic and regional variations of breast and cervical screening among Indian women in the reproductive age.
Methods: A full sample of 707,119 women aged 15-49 and a sub-sample of 357,353 women aged 30-49 from National Family Health Survey-5 (2019-21) were used in the analysis. Self-reported ever screening for breast and cervical cancer for women aged 15-49 and women aged 30-49 were outcome variables. A set of socio-economic and risk factors associated with breast and cervical cancer screening were used as the predictors. Logistic regression was used to understand the significant correlates of cancer screening and, concentration index and concentration curve were used to assess the socio-economic inequality in breast and cervical cancer screening.
Results: The proportion of breast and cervical cancer screening among women aged 30-49 were 877 and 1965 per 100,000 women respectively. Cancer screening was lower among women who were poor, young, had lower educational attainment and resided in rural areas. The concentration index was 0.2 for ever screening of breast cancer and 0.15 for cervical cancer among women aged 30-49 years. The concertation curve for screening of both breast and cervical cancers was pro-rich. Women with higher educational attainment [OR:1.46, 95% CI: 1.31-1.62], aged 40-49 years [OR:1.35; 95% CI: 1.28-1.43], resided in the western [OR:1.62; 95% CI:1.4-1.87] or southern [OR:6.66; 95% CI:5.93-7.49] region had significantly higher odds of up taking either of the screening. The pattern of breast and cervical cancer screening among women aged 15-49 was similar to that of women 30-49.
Conclusion: The overall proportion of cancer screening among women in 30-49 age group is low in India. Early screening and treatment can reduce the burden of these cancers. Creating awareness and providing knowledge on cancer could be a key strategy for reducing the burden of breast and cervical cancers among women in the reproductive age in India.
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http://dx.doi.org/10.1186/s12885-022-10387-9 | DOI Listing |
Sci Data
December 2024
Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, No. 18 Shilongshan Road, Hangzhou, 310024, China.
Thyroid nodules are a common endocrine condition with an increasing incidence over the decades. Data-independent acquisition has been widely utilized in discovery proteomics to identify disease biomarkers and therapeutic targets. To analyze the thyroid disease-related proteome in a high-throughput, reproducible and reliable manner, we introduce thyroid-specific peptide spectral libraries.
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December 2024
Department of Breast Surgery, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, 310000, Zhejiang, China.
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December 2024
Centre for Human Anatomy Education, Department of Anatomy and Developmental Biology, Biomedical Discovery Institute, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Australia.
Arterial variations in the upper limb are of significant clinical importance, especially in procedures such as venepunctures, coronary artery bypass grafts, trauma reconstructive surgeries, brachial plexus nerve blocks, and breast reconstructions. This report presents previously undocumented arterial variations in the upper limbs in a 95-year-old female cadaveric donor. We observed bilateral superficial ulnar arteries originating at the cubital fossa, deviating from the previously reported origin at the proximal brachial artery.
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December 2024
Department of Data Science, Faculty of Interdisciplinary Science and Technology, Tarbiat Modares University, Tehran, Iran.
Glioblastoma Multiforme (GBM), classified as a grade IV glioma by the World Health Organization (WHO), is a prevalent and notably aggressive form of brain tumor derived from glial cells. It stands as one of the most severe forms of primary brain cancer in humans. The median survival time of GBM patients is only 12-15 months, making it the most lethal type of brain tumor.
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Department of Electrical Engineering, Assam Engineering College, Assam, India.
Radiomics is a method that extracts many features from medical images using various algorithms. Medical nomograms are graphical representations of statistical predictive models that produce a likelihood of a clinical event for a specific individual based on biological and clinical data. The radiomic nomogram was first introduced in 2016 to study the integration of specific radiomic characteristics with clinically significant risk factors for patients with colorectal cancer lymph node metastases.
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