Construction of a checkpoint inhibitor-related pneumonia diagnostic model based on exhaled nitric oxide: a prospective observational study

CaNO may be a new marker for identifying CIP. Increased CaNO, pre-existing radiotherapy and emphysema reported on chest CT, a small amount of pleural effusion reported on chest CT, and lower count of lymphocyte cell in peripheral blood are independently associated with CIP.

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Publication Details

Journal
Translational Lung Cancer Research
Published
2025-05-01
DOI
https://doi.org/10.21037/tlcr-2024-1085
Citations
4
Primary Topic
Inhalation and Respiratory Drug Delivery
Type
article
Field-Weighted Citation Impact
6.07
Controls
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article

Construction of a checkpoint inhibitor-related pneumonia diagnostic model based on exhaled nitric oxide: a prospective observational study

Hangming Dong, Zeyu Fu, Lin Li, Danhui Huang et al.
4 citations
Translational Lung Cancer Research
Inhalation and Respiratory Drug Delivery
6.07
article

Construction of a checkpoint inhibitor-related pneumonia diagnostic model based on exhaled nitric oxide: a prospective observational study

Hangming Dong, Zeyu Fu, Lin Li, Danhui Huang, Tiantian Liu, Yanmei Ye, Yimei Gao, Jinming Zhang, Tingyue Luo, Laiyu Liu, Kaijun Chen, Xiaoxiao Jiang, Jiangzhao Ai, Shaoxi Cai, Junjie Xi, Jinzhong Zhuo, Junwei Chen, Haohua Huang, Shudong Ma
article en
4 citations

Abstract

CaNO may be a new marker for identifying CIP. Increased CaNO, pre-existing radiotherapy and emphysema reported on chest CT, a small amount of pleural effusion reported on chest CT, and lower count of lymphocyte cell in peripheral blood are independently associated with CIP.

Translational Lung Cancer ResearchVol. 14(5)
Nanfang Hospital (CN), Southern Medical University (CN)
Openalex Percentile: Top 4%
Inhalation and Respiratory Drug Delivery
6.07
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Construction of a checkpoint inhibitor-related pneumonia diagnostic model based on exhaled nitric oxide: a prospective observational study — Hangming Dong, Zeyu Fu, et al. · Translational Lung Cancer Research (2025) | TGRS Research Map | TGRS