EARLY TREATMENT DISCONTINUATION IN NSCLC: EVIDENCE FROM ASIAN REAL-WORLD SETTINGS

Author(s)

Rupesh Gaikwad, B.Com1, Dharmender Singh Lather, BSc2.
1Trinity Life Sciences, Mumbai, India, 2Trinity Life Sciences, Gurgaon, India.
OBJECTIVES: Early treatment discontinuation (ETD) is increasingly recognized as a key gap between clinical trial efficacy and real-world outcomes in non-small cell lung cancer (NSCLC). This study explored ETD patterns across Asian settings, with a focus on India, Thailand, and Bangladesh.
METHODS: Publicly available real-world studies (2015-2025) were reviewed. Given limited direct reporting, ETD was assessed using proxies such as treatment completion, duration, and transitions to subsequent lines of therapy.
RESULTS: Across settings, a consistent pattern of early treatment drop-off was observed. In Thailand, 29.4% of patients did not receive second-line therapy¹, suggesting early attrition after first-line treatment. Additionally, only 57% completed planned durvalumab, with 7.3% discontinuing due to adverse events². Outcomes were notably better where targeted therapies were reimbursed, with overall survival improving from 18.3 to 27.2 months¹, highlighting the role of payer support in sustaining treatment. In India, access constraints were more pronounced. Only 13.5% of eligible patients received osimertinib³, and just 58.7% proceeded to second-line therapy after progression⁴, reflecting substantial attrition. Supporting evidence indicates treatment discontinuation is frequently driven by progression or clinical deterioration⁵. For Bangladesh, no registry-based ETD data were identified, pointing to a significant gap in real-world oncology evidence.
CONCLUSIONS: ETD is common in Asian NSCLC care and is driven as much by health system constraints as by clinical factors. Improving access and reimbursement will be critical to improving persistence.

Conference/Value in Health Info

2026-09, ISPOR Asia Pacific 2026, Bangkok, Thailand

Value in Health, Volume 55, Issue S1

Code

RWD10

Topic

Real World Data & Information Systems

Topic Subcategory

Distributed Data & Research Networks

Disease

SDC: Oncology

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