Abstract
Background The stage of disease at diagnosis is one of the major determinants of survival in women with cervical cancer. Most women with cervical cancer in low- and middle-income countries (LMICs) present to hospitals with advanced stages, thus reducing their survivorship following the diagnosis. Factors correlated with late-stage disease at diagnosis are not completely explored. This study aimed to describe the association between sociodemographic, clinical, and metabolic characteristics with late-stage disease at diagnosis in women with cervical cancer attending the Mbarara Regional Referral Hospital in Southwestern Uganda. Methodology We conducted a cross-sectional study of women with histological diagnoses of invasive cervical cancer between November 2022 and August 2023. Women who presented to the hospital with the International Federation of Gynecology and Obstetrics stage IIb and above were considered to have late-stage cervical cancer while those with stage IIa and below were considered to have early-stage disease. We used modified Poisson regression to determine the factors independently associated with the outcome. Results We enrolled 157 women. The average age of the participants was 52.4 years. The majority of the participants (83.4%) had late-stage disease at diagnosis. Women with adenocarcinoma (adjusted prevalence ratio (aPR) = 1.18, 95% confidence interval (CI) = 1.10-1.38) and those with lymphovascular space involvement on histology (aPR = 1.30, 95% CI = 1.05-1.60) were more likely to have late-stage disease at diagnosis while women living with human immunodeficiency virus (aPR = 0.83, 95% CI = 0.71-0.97) were less likely to present with late-stage disease at diagnosis. None of the sociodemographic and metabolic characteristics were associated with late-stage disease at diagnosis. Conclusions The number of women presenting with late-stage cervical cancer is high. Efforts to increase the availability and uptake of cervical cancer screening services in LMICs should be reinforced. Cervical cancer treatment services should be decentralized to increase accessibility.