NRI and SIRI are the optimal combinations for prognostic risk stratification in patients with non-small cell lung cancer after EGFR-TKI therapy

NRI and SIRI were the best combination models for predicting clinical outcomes of NSCLC patients receiving EGFR-TKI treatment, which may be a novel biomarker for supplement risk stratification in NSCLC patients.

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Publication Details

Journal
Clinical & Translational Oncology
Published
2024-09-20
DOI
https://doi.org/10.1007/s12094-024-03735-7
Citations
4
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
1.13
Controls
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article

NRI and SIRI are the optimal combinations for prognostic risk stratification in patients with non-small cell lung cancer after EGFR-TKI therapy

Guolong Liu, Peipei Wang, Xia Liu
4 citations
Clinical & Translational Oncology
Inflammatory Biomarkers in Disease Prognosis
1.13
article

NRI and SIRI are the optimal combinations for prognostic risk stratification in patients with non-small cell lung cancer after EGFR-TKI therapy

Guolong Liu, Peipei Wang, Xia Liu
article en
4 citations

Abstract

NRI and SIRI were the best combination models for predicting clinical outcomes of NSCLC patients receiving EGFR-TKI treatment, which may be a novel biomarker for supplement risk stratification in NSCLC patients.

Clinical & Translational OncologyVol. 27(4)
Guangzhou First People's Hospital (CN), First Affiliated Hospital of Jinan University (CN), South China University of Technology (CN), Guangzhou Medical University (CN)
Zero hunger
Openalex Percentile: Top 18%
Inflammatory Biomarkers in Disease Prognosis
1.13
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