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Indian Journal of Medical and Paediatric Oncology
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ORIGINAL ARTICLE
Year : 2017  |  Volume : 38  |  Issue : 3  |  Page : 277-281

Sociodemographic factors and late-stage diagnosis of breast cancer in India: A hospital-based study


Department of Medical Records, Biostatistics and Epidemiology, Tata Memorial Hospital, Mumbai, Maharashtra, India

Correspondence Address:
Jignasa Amrutlal Sathwara
6th Floor, Annexure Building, Department of Medical Records, Biostatistics and Epidemiology, Tata Memorial Hospital, Mumbai - 400 012, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijmpo.ijmpo_15_16

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Context: Breast cancer (BC) is one of the major causes of cancer mortality in India. Late-stage diagnosis of BC is associated with poor survival. Identification of factors affecting late presentation of the disease could be an effective step to reduce BC mortality. Aims: To study the association of sociodemographic factors with BC stage at diagnosis. Settings and Design: The study is a retrospective analysis from the case records from a single institution. Subjects and Methods: Data for the year 2008 was collected from the hospital records. A total of 1210 cases were included for the analysis. Sociodemographic factors included were age, place of residence, religion, marital status, level of education, and occupation. Other study variables were family history, presence of comorbidity, and stage at diagnosis. Statistical Analysis: Association between sociodemographic factors by stage at diagnosis was tested using Chi-square statistics, with odds ratios (ORs) estimated through logistic regression modeling. Results: In the study cohort, 46% patients had reported at early stages and 54% at advanced stages. All factors were evaluated for being predictors of disease stage at presentation using univariate and multivariate logistic regression model. Women from urban background were less likely to present with advanced stage disease (OR = 0.64; 95% confidence interval [CI]: 0.49–0.84) as compared to rural women. Similarly, illiterate women were also more likely to present with advanced-stage disease (OR = 1.55; 95% CI: 1.16–2.09). Conclusions: This data clearly indicate that the patients of rural background and of low education status are more likely than their respective counterparts to have an advanced stage of BC diagnosis. Our results may be considered the keys to determining how stage variation may be related to patients and community characteristics and where limited resources need to be invested to ensure early diagnosis of BC.


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