# Prognostic impact of diagnostic and therapeutic time delays in breast cancer: an exploratory data analysis for patients at Parirenyatwa Hospital, Zimbabwe

## TL;DR

This study explores how delays in diagnosis and treatment affect breast cancer stages in patients at a hospital in Zimbabwe.

## Contribution

The study identifies specific factors associated with diagnostic and treatment delays in a Zimbabwean hospital setting.

## Key findings

- Rural residence and poor performance scores were linked to delayed presentation.
- Longer primary delays and post-menopausal status were associated with secondary delays.
- Delays in diagnosis and treatment predicted advanced cancer stages.

## Abstract

This paper seeks to investigate factors related to time delays for diagnosis and treatment in breast cancer patients at Parirenyatwa Hospital in Zimbabwe and subsequently evaluate the effects of presentation and diagnosis delays on cancer stage.

The study was done for 379 patients with histologically diagnosed invasive breast cancer, from 2015 through to 2019. The study sought to identify factors associated with the time delays ( months)using parametric and non-parametric methods, depending on whether underlying assumptions of such tests are met. A multiple logistic regression model was also used to analyse the association between factors, primary delay, secondary delay variables and cancer stage.

The median of the primary, secondary and treatment delay were found to be 7.6, 1 and 0.4 months respectively. Rural residence, Karnofsky Performance Score below 70%, hypertension comorbidity, tumor size (>5cm) and well differentiated tumors (grade 1) were significant factors for delayed presentation. Longer primary delay times and post-menopausal status were associated with secondary delay. Advanced cancer stage at diagnosis and those on medical aid were more likely to have a delay in treatment onset.

Primary and secondary delay were predictive of advanced disease using logistic regression.