Strategies to optimize lung cancer outcomes

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This article from the Lung Ambition Alliance discusses how they are tackling challenges and harnessinginnovation to optimize lung cancer outcomes for patients.

Sponsored Content by AstraZenecaMay 31 2024Reviewed by Emily Magee Since the 1950s, lung cancer has been the leading cause of cancer deaths among men in the United States. In the 1980s, this expanded to women, including a growing incidence in those who had never smoked.1

In addition to late diagnosis, there are also variations in the time between diagnosis and treatment, which adversely affects survival outcomes. Clear disparities exist around the world when it comes to patient pathways. For example: Early lung cancer does not always present with signs or symptoms, which adds to delays in diagnosis.10 Furthermore, early symptoms such as a persistent cough11 could be mistaken for other conditions by both patients and HCPs, particularly in those who have never smoked, causing further delays in opportunities to test and diagnose. Primary care HCPs may benefit from heightened awareness and understanding of this deadly condition.

The LAA Ambition, Improvement, Measurement reports published in 2022 and 2023 were developed to provide details of the barriers currently preventing screening, diagnosis, and treatment for lung cancer and strategies for tackling these barriers. The LAA’s two additional AIM reports, Establishing a Pathway to Biomarker Testing and Optimising Multi-Disciplinary / Tumour Board Care, go deeper into which areas need to be addressed to ensure a successful level of care, including the accessibility of effective, innovative treatments.

Whilst the main responsibility for the improvements listed above falls to leading professional societies who should develop recommended global guidelines for biomarker testing infrastructure and national implementation of MDTs, these practices can be integrated within today’s lung cancer clinics . Clear benchmarks and KPIs would allow teams to measure the effectiveness of their MDTs, e.g., assessing the time taken from diagnosis to treatment and access to biomarker testing.

 

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