• Medicine · Dec 2018

    Epidemiologic analysis of breast cancer incidence, prevalence, and mortality in India: Protocol for a systematic review and meta-analyses.

    • Madurantakam Royam Madhav, Sankaranarayanan Gomathi Nayagam, Krishnav Biyani, Venkatesh Pandey, Duraj Gowtham Kamal, Shanthi Sabarimurugan, Nachimuthu Ramesh, Kodiveri Muthukaliannan Gothandam, and Rama Jayaraj.
    • Department of Bio-Medical Sciences, School of BioScience and Technology, Vellore Institute of Technology (VIT) University, Vellore, India.
    • Medicine (Baltimore). 2018 Dec 1; 97 (52): e13680.

    BackgroundBreast Cancer (BC) is the leading cause of deaths in Indian women. Emerging reports reveal alarming evidence of increasing incidence and mortality of BC among young Indian women in addition to the late presentation and poor prognosis. Despite the significant incidence, there is a lack of reliable data resources and comprehensive epidemiologic studies relating to BC. The objective of this protocol is to conduct a full-scale systematic review and meta-analyses on the incidence, prevalence, and mortality of BC in 29 states and seven union territories of India.MethodsData sources used will be Cochrane Review, MEDLINE, PubMed, Scopus, Science Direct, Web of Science, and international and national cancer registries such as World Health Organization, International Agency for Research on Cancer (IARC), and National Centre for Disease Information and Research (NCDIR)-National Cancer Registry Program initiated by Indian Council of Medical Research. Relevant data will be extracted using a predefined data collection form. A defined search strategy will be implemented along with selection criteria to obtain full-text articles of relevant studies. This study protocol was prepared according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Protocols 2015 guidelines. Odds ratios (ORs) will be used to measure effect size. The random or fixed-effects meta-analyses model will be employed to aggregate the pooled estimates (ORs) with 95% confidence intervals (CIs) separately. A forest plot will be produced to assess ORs and 95% CIs. Publication bias will be assessed using funnel plot, and Egger regression will be applied to test the symmetry of the funnel plot.Ethics And DisseminationThis proposed study will be based on published studies and the data from cancer registries. Therefore, human research ethics approval is not required. The results of this study will be published in a peer-reviewed journal.Prospero Registration NoCRD42018084003.

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