ArticleScientific reports2020
Utility of red cell distribution width as a diagnostic and prognostic marker in non-small cell lung cancer.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Commentary on "Skeletal Muscle Index to Red Cell Distribution Width Ratio: A Novel Prognostic Indicator for Patients with Stage I-III Colorectal Cancer".Cancer research and treatment · 2026Article
- Mean Corpuscular Volume as a Prognostic Marker in Patients with Non-Small Cell Lung Cancer Undergoing Surgical Resection: A Cohort Study.Medicina (Kaunas, Lithuania) · 2026Article
- The red cell distribution width to albumin ratio as a novel predictor of 180-day mortality in lung cancer patients.Scientific reports · 2026Article
- Peripheral blood tumor marker levels can indicate the location of lung cancer metastasis.Oncology letters · 2025Article
- Relationship between red cell distribution width and lung cancer: evidence from Mendelian randomization and National Health and Nutrition Examination Survey.Discover oncology · 2025Article
- Red blood cell-tumor cell interactions promote tumor cell progression.Journal of experimental & clinical cancer research : CR · 2025Article
- Prognostic Significance of Modified Shine and Lal Index in Patients with Non-Small Cell Lung Cancer Undergoing Surgical Resection.Biomedicines · 2025Article
- The clinical value of lymphocyte percentages and the monocyte-to-lymphocyte ratio in differentiating immune-mediated necrotizing myopathy from dermatomyositis.Frontiers in neurology · 2025Article
- Complete blood count parameters as potential predictive factors of brain metastases in lung cancer.Frontiers in oncology · 2025Article
- Integrative Stacking Machine Learning Model for Small Cell Lung Cancer Prediction Using Metabolomics Profiling.Cancers · 2024Article
- Trends in primary care blood tests prior to lung and colorectal cancer diagnosis-A retrospective cohort study using linked Australian data.Cancer medicine · 2024Article
- Construction of a Diagnostic Model for Small Cell Lung Cancer Combining Metabolomics and Integrated Machine Learning.The oncologist · 2024Article
- Development and external validation of a nomogram for predicting lymph node metastasis in 1-3 cm lung adenocarcinoma.Future oncology (London, England) · 2024Article
- Cost-effective prognostic evaluation of breast cancer: using a STAR nomogram model based on routine blood tests.Frontiers in endocrinology · 2024Article
- Red cell distribution width-a potential prognostic indicator for colorectal cancer patients after radical resection in China.Journal of gastrointestinal oncology · 2023Article
- Article
- Association between Red Blood Cell Distribution Width and Short-Term Mortality in Patients with Paralytic Intestinal Obstruction: Retrospective Data Analysis Based on the MIMIC-III Database.Emergency medicine international · 2023Article
- The Association Between Red Cell Distribution Width (RDW) and All-Cause Mortality in Elderly Patients with Hip Fractures: A Retrospective Cohort Study.International journal of general medicine · 2023Article
- Stroke and Emerging Blood Biomarkers: A Clinical Prospective.Neurology international · 2022Review
- Clinical Utility of Red Blood Cell Distribution Width for the Diagnosis and Prognosis of Cervical Cancer.International journal of general medicine · 2022Article
Corrections and comments
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Authors and funding
7 authors.
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Abstract
An increasing number of studies have indicated that red blood cell distribution width (RDW) may be a novel biomarker for the diagnosis and prognosis of various malignancies. However, to date, data on the association of RDW with non-small cell lung cancer (NSCLC) are unclear. Our present study aimed to explore the value of RDW in NSCLC patients. A total of 338 NSCLC patients, 109 small cell lung cancer (SCLC) patients, and 302 healthy participants were retrospectively analyzed between January 2016 and December 2018. In the present study, we found that RDW was significantly increased in NSCLC patients. Receiver-operating characteristic (ROC) analysis showed that the area under the ROC curve (AUC) of RDW was 0.753 in discriminating NSCLC patients from healthy participants, the optimal cut-off value of RDW was 12.95, and the specificity and sensitivity were 76.33% and 76.16%, respectively. Further analysis found that RDW can enhance the diagnostic performance of Cyfra21-1 and NSE in discriminating NSCLC patients from healthy participants or SCLC patients. Among NSCLC patients, RDW was significantly correlated with TNM stage, T stage, N stage, M stage, and Cyfra21-1, indicating that RDW may be helpful for predicting the prognosis of NSCLC patients. Our findings suggest that RDW can be used as an auxiliary marker for the diagnosis and prognosis of NSCLC.
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