Novel prediction model of early screening lung adenocarcinoma with pulmonary fibrosis based on haematological index
Our study elucidates the gender disparities in lung diseases and illuminates the profound potential of serum biomarkers, including AGR, MLR, NLR, and PLR in early lung cancer detection. With NLR as a standout, therefore, this study advances the exploration of indicator changes and predictions in patients with pulmonary disease and fibrosis, thereby improving early diagnosis, treatment, survival rate, and patient prognosis.
Authors
- Baoqing Sun (ORCID: https://orcid.org/0000-0002-1671-0723)
- Zhangkai J. Cheng (ORCID: https://orcid.org/0000-0002-8621-4119)
- Zhiman Liang
- Mingtao Liu (ORCID: https://orcid.org/0000-0002-8951-8361)
- Haiyang Li (ORCID: https://orcid.org/0000-0002-9506-0430)
- Wenhan Cao
- Jiaxi Chen
- Xing Fu
Institutions
- Fudan University (CN)
- Guangzhou Experimental Station (CN)
- First Affiliated Hospital of Guangzhou Medical University (CN)
- Kingmed Diagnostics (CN)
- MRC Biostatistics Unit (GB)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1186/s12885-024-12902-6
- Citations
- 2
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 0.84
Funders
- Guangzhou Medical University
- University of Cambridge
- Medical Research Council