Bmc Med
-
The World Health Organization (WHO) has developed a costing tool, the Cervical Cancer Prevention and Control Costing (C4P) tool, to estimate the comprehensive cost of cervical cancer primary, secondary and tertiary prevention in low- and middle-income countries. The tool was piloted in the United Republic of Tanzania, a country with a high incidence of cervical cancer with 62.5 cases per 100,000 women in 2020. This paper presents the costing tool methods as well as the results from the pilot in Tanzania. ⋯ The C4P costing tool can assist national cervical cancer programmes to estimate monetary resources needed as well as opportunity costs of reducing national cervical cancer incidence through primary, secondary and tertiary prevention.
-
Multimorbidity (the presence of two or more chronic conditions) is common amongst people with chronic kidney disease, but it is unclear which conditions cluster together and if this changes as kidney function declines. We explored which clusters of conditions are associated with different estimated glomerular filtration rates (eGFRs) and studied associations between these clusters and adverse outcomes. ⋯ Patterns of multimorbidity and corresponding risk of adverse outcomes varied with declining eGFR. While diabetes and cardiovascular disease are known high-risk conditions, chronic pain and depression emerged as important conditions and associated with adverse outcomes when combined with physical conditions.
-
Observational epidemiological studies suggest a link between several factors related to ovulation and reproductive function and endometrial cancer (EC) risk; however, it is not clear whether these relationships are causal, and whether the risk factors act independently of each other. The aim of this study was to investigate putative causal relationships between the number of live births, age at last live birth, and years ovulating and EC risk. METHODS: We conducted a series of observational analyses to investigate various risk factors and EC risk in the UK Biobank (UKBB). Additionally, multivariate analysis was performed to elucidate the relationship between the number of live births, age at last live birth, and years ovulating and other related factors such as age at natural menopause, age at menarche, and body mass index (BMI). Secondly, we used Mendelian randomization (MR) to assess if these observed relationships were causal. Genome-wide significant single nucleotide polymorphisms (SNPs) were extracted from previous studies of woman's number of live births, age at menopause and menarche, and BMI. We conducted a genome-wide association analysis using the UKBB to identify SNPs associated with years ovulating, years using the contraceptive pill, and age at last live birth. ⋯ MVMR analysis showed that the number of live births causally reduced the risk of EC.