Treatment abandonment in children with cancer: Does a sex difference exist? A systematic review and meta-analysis of evidence from low- and middle-income countries

Sex Bias in Treatment Abandonment of Childhood Cancer in India

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.

Risk factors associated with abandonment of care in retinoblastoma: analysis of 692 patients from 10 countries

BACKGROUND

Rates of care abandonment for retinoblastoma (RB) demonstrate significant geographical variation; however, other variables that place a patient at risk of abandoning care remain unclear. This study aims to identify the risk factors for care abandonment across a multinational set of patients.

METHODS

A prospective, observational study of 692 patients from 11 RB centres in 10 countries was conducted from 1 January 2019 to 31 December 2019. Multivariate logistic regression was used to identify risk factors associated with higher rates of care abandonment.

RESULTS

Logistic regression showed a higher risk of abandoning care based on country (high-risk countries include Bangladesh (OR=18.1), Pakistan (OR=45.5) and Peru (OR=9.23), p<0.001), female sex (OR=2.39, p=0.013) and advanced clinical stage (OR=4.22, p<0.001). Enucleation as primary treatment was not associated with a higher risk of care abandonment (OR=0.59, p=0.206).

CONCLUSION

Country, advanced disease and female sex were all associated with higher rates of abandonment. In this analysis, enucleation as the primary treatment was not associated with abandonment. Further research investigating cultural barriers can enable the building of targeted retention strategies unique to each country.

Impact of treatment refusal and abandonment on survival outcomes in pediatric osteosarcoma in Southeast Asia: A multicenter study

BACKGROUND

Treatment refusal and abandonment (TxRA) are major barriers to improving outcomes among children with sarcomas of the extremities as curative treatment options bearing on amputation or disfiguring surgery, particularly in countries with limited resources. A multi-institutional retrospective study was conducted to determine the predictive factors for TxRA among patients with osteosarcoma associated with survival outcomes across Southeast Asia (SEA).

METHODS

Pediatric patients with osteosarcoma treated between January 1998 and December 2017 in four SEA pediatric oncology centers from three countries were studied. Nelson-Aalen estimates, Kaplan-Meier method, and Cox's proportion hazard model were applied to address the cumulative incidence, survival outcomes, and to identify prognostic factors associated with TxRA.

RESULTS

From a total of 208 patients with osteosarcoma enrolled; 18 (8.7%) patients refused and 41 (19.7%) patients abandoned treatment. Income classification of countries, age at diagnosis, tumor size, disease extent, chemotherapy protocols, and types of surgery were associated with TxRA. Tumor size more than 15 cm was an independent risk factor associated with TxRA. The 5-year overall and relapse-free survivals were 49.4% and 50.4%, respectively. However, these rates declined further to 37.9% and 35.8%, respectively, when TxRA were considered as events. Tumor size larger than 15 cm and metastatic disease were independent risk factors associated with TxRA-sensitive outcomes.

CONCLUSION

The prevalence of TxRA was high in SEA, particularly in lower middle-income countries. Factors associated with TxRA related to tumor burden. Treatment outcomes could be substantially improved by lowering the refusal and abandonment rates.

Resource-appropriate selection of osteosarcoma treatment protocols in low- and middle-income countries

Osteosarcoma is a rare malignancy; however, it is still the most common primary bone tumor in adolescents and young adults. Chemotherapy improves survival indubitably in osteosarcoma; nevertheless, the concern is the stagnant progress since the last several decades. There are a handful of active agents and unresolved issues, especially in choosing the ideal chemotherapy regimen. The oncology community is in equipoise regarding the position of high-dose methotrexate (HDMTX), mandatory or adjunct. The choice of therapy becomes widely relevant, including in low- and middle-income countries (LMIC), where HDMTX administration brings additional complexities. Research into novel non-HDMTX-based protocols adapted to the available resources is pivotal in improving disease outcomes, especially in LMIC. The current review focuses on real-world challenges in decision-making and provides a comprehensive overview of the evolution of treatment protocols in LMIC.