Sex Bias in Treatment Abandonment of Childhood Cancer in India

Abstract

Objectives: To explore the magnitude of sex bias and determinants of treatment abandonment (TA) in childhood cancer in India.

Methods: Individual data of children (0-19 y) registered between January 1, 2017 and July 31, 2022, was compiled. TA was defined as defaulting curative intent treatment ≥4 wk. Defaulting treatment irrespective of intent ≥4 wk was defined as Treatment Default (TD). The primary outcome was the proportion of male-to-female children with TA. Secondary outcomes included the proportion of male-to-female children with upfront TA, TA at relapse, TD, TD-p (TD only in the palliative setting). The impact of clinico-demographic factors on TA was analysed using multivariable regression and propensity score matching (PSM).

Results: Three thousand two hundred eighty four patients were analysed. The overall male-to-female ratio (MFR) was 2.08 (95% CI 1.94-2.24). Of 2906 patients treated with curative intent, 415 (14·3%) abandoned treatment. TA was higher in females than males (16·4% vs. 13·3%; p = 0·022) with adjusted MFR of 0·81 (0·66-0·98). The adjusted MFR of TA for treatment-naïve and relapsed patients and TD were 0·73 (0·59-0·91), 1·13 (0·65-1·96) and 0·84 (0·71-1·00) respectively. Sex independently predicted TA on multivariable analysis. However, on PSM analysis including socio-economic variables, lower maternal education predicted higher TA in children with cancer (10·1% vs. 6%, p = 0·015).

Conclusions: Child sex predicted TA in childhood cancer in India with more females abandoning treatment. Maternal education is a more crucial factor predicting TA over child sex, when socio-economic factors were considered. Hence, policies promoting female education and gender equality may mitigate sex-based gaps in childhood cancer care.

Keywords: Cancer; Childhood; India; Pediatric; Sex bias; Sex disparity; Treatment abandonment; Treatment default.