Shashank Joshi: Performance of Lung Cancer Risk Prediction Models in Different Racial and Ethnic Groups
Shashank Joshi/X

Shashank Joshi: Performance of Lung Cancer Risk Prediction Models in Different Racial and Ethnic Groups

Shashank Joshi, Endocrine Physician at Lilavati Hospital and Research Centre, shared a post on X:

“A new study found that many lung cancer prediction models underestimate risk in non-Hispanic Black individuals and are less accurate for predicting future cases in Asian populations.

Despite this, risk-based approaches overall may improve screening efficiency and make screening more equitable compared with current guidelines.”

Title: Performance of Lung Cancer Risk Prediction Models in Different Racial and Ethnic Groups in the United States: Results From the Lung Cancer Cohort Consortium

Authors: Xiaoshuang Feng, Florence Guida, Aghiles Guenoun, Karine Alcala, Melinda C. Aldrich, Alan A. Arslan, Qiuyin Cai, Wei Zheng, Chu Chen, Matthew Triplette, Lesley F. Tinker, Alpa V. Patel, Linda M. Liao, Rashmi Sinha, Thomas E. Rohan, Howard D. Sesso, Xuehong Zhang, Kala Visvanathan, Ying Wang, Mattias Johansson, Hilary A. Robbins

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Shashank Joshi: Performance of Lung Cancer Risk Prediction Models in Different Racial and Ethnic Groups

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Shashank Joshi: Performance of Lung Cancer Risk Prediction Models in Different Racial and Ethnic Groups