Supriya Dutta

Thesis Title: Quantitative analysis of a routine breast cancer screening dataset - Investigating how the effectiveness of, and outcomes from, breast cancer screening differ by population subgroup

Reaching underserved communities such as populations with low socioeconomic status and minority ethnic groups is a key priority for the government and NHS England. National screening programmes are population-based. However, women from more socially deprived backgrounds are less likely to attend breast screening (1) and black women are more likely to be diagnosed with late-stage breast cancer when treatment is less successful (2). Despite our knowledge of these health inequalities in breast screening, we know very little about how ethnicity and socioeconomic status affect screening effectiveness.

Using the ATHENA-M dataset – which links routine breast screening records to the cancer registry, national mortality data and the Index of Multiple Deprivation – I aim to study the long-term outcomes of women following screening.

1. To explore the quality of the data on ethnicity and socioeconomic status and provide descriptive characteristics of the women in the dataset.

2. To investigate: a. the types of cancer detected by socioeconomic status and ethnicity, including by grade, stage and other prognostic indices b. the treatment that women received in the first year after diagnosis stratified by cancer type.

3. To look at the association between ethnicity/socio-economic status and screening intervention effectiveness.

Biography:

Supriya Dutta is an ESRC-funded PhD student at the University of Warwick, specialising in quantitative analysis within public health. Her research focuses on exploring population-level differences in breast cancer screening outcomes, with the aim of addressing inequalities in access and effectiveness. She has developed a strong foundation in biostatistics, oncology research, and real-world evidence (RWE) analytics, with around three years of experience as a biostatistician and statistical programmer at the Advanced Centre for Treatment, Research and Education in Cancer (ACTREC, Tata Memorial Centre) and a healthtech company in India. Supriya holds a Master’s degree in Statistics from Presidency University, Kolkata. Her academic and professional experiences reflect a deep commitment to applying quantitative methods and real-world data to advance public health research and support evidence-based healthcare decisions.

Publications:

Late urinary toxicity and QOL with pelvic radiotherapy for high-risk prostate cancer: Dose-effect relations in the randomized phase III trial.(2004) (https://www.redjournal.org/article/S0360-3016(24)00439-5/fulltext)

Applied Health, University of Warwick

2025 Cohort

Email:

Supervisory Team:

Dr Edmund Njeru Njagi

Dr Karoline Freeman

Dr Alice Sitch