ArticleBMC cancer2024
Red blood cell distribution width is associated with sarcopenia risk in early-stage non-small cell lung cancer.
Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Red blood cell distribution width-to-albumin ratio and postoperative pleural effusion risk after gastrectomy for esophagogastric junction adenocarcinoma: a retrospective study.Frontiers in oncology · 2026Article
- Utilizing Immuno-Oncology registry data for enhanced non-small cell lung cancer treatment predictions.JAMIA open · 2025Article
- Red cell distribution width: a potential marker of reduced femoral neck bone mineral density in men and postmenopausal women.Endocrine · 2025Article
- Association between red blood cell distribution width-to-albumin ratio and risk of low lean mass: A cross-sectional study of NHANES 1999-2018.Science progressArticle
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundSarcopenia has received increasing attention in non-small cell lung cancer (NSCLC). Red blood cell distribution width (RDW) is a significant component of the complete blood count and indicates the heterogeneity of erythrocyte volume. Little information is known about RDW in relation to sarcopenia in early-stage (IA-IIIA) NSCLC. The purpose of the present study was to investigate the association between RDW and sarcopenia risk in early-stage NSCLC patients.
methodsThis study included 378 patients with pathologically confirmed stage IA-IIIA NSCLC. Sarcopenia was defined by measuring the skeletal muscle index (SMI) at the eleventh thoracic vertebra level. The maximum Youden index on the receiver operating characteristic (ROC) curve was used to estimate the cutoff value for RDW to predict sarcopenia. Logistic regression analyses were carried out to assess the independent risk factors for sarcopenia in NSCLC.
resultsThe ROC curve indicated that the best cutoff point for RDW to predict sarcopenia was 12.9 (sensitivity of 43.80% and specificity of 76.76%, respectively). Moreover, there were significant differences in hemoglobin (p < 0.001), comorbidities (p = 0.001), histological type (p = 0.002), and cancer stage (p = 0.032) between the high RDW and low RDW groups. Logistic regression analyses revealed that high RDW is an independent risk factor for sarcopenia in early-stage NSCLC.
conclusionRDW is associated with sarcopenia risk in early-stage NSCLC.
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