Literature DB >> 32064949

Prognostic value of pre-treatment red blood cell distribution width in lung cancer: a meta-analysis.

Yan Wang1,2, Yaojie Zhou2, Kun Zhou1, Jue Li1, Guowei Che1.   

Abstract

Objective: In recent years, increasing studies found that pre-treatment red blood cell distribution width (RDW) could predict clinical outcomes in various cancers. However, the prognostic value of pre-treatment RDW in lung cancer was inconsistent. Therefore, we performed a meta-analysis to determine prognostic value of pre-treatment RDW in lung cancer.
Methods: We performed a search in PubMed, The Cochrane Library, EMBASE (via OVID), Web of Science, CNKI, Wanfang, VIP, SinoMed databases, then we identified all records up to February 15, 2019. Outcomes of interest were overall survival (OS) and disease-free survival (DFS). Hazard ratios (HRs) and corresponding 95% confidence intervals (95% CIs) were calculated to assess the relevance of pre-treatment RDW to OS in lung cancer.
Results: We included ten articles in total. Pooled results revealed that elevated pre-treatment RDW was significantly associated with poor OS (HR = 1.55, 95% CI: 1.26-1.92, p < 0.001) and DFS (HR = 1.53, 95% Cl: 1.15-2.05; p = 0.004) in lung cancer. Further subgroup analysis manifested that lung cancer patients with elevated pre-treatment RDW had worse prognosis.Conclusions: A higher value of pre-treatment RDW indicated worse survival of patients with lung cancer. RDW may serve as a reliable and economical marker for prediction of lung cancer prognosis.

Entities:  

Keywords:  Red blood cell distribution width; lung cancer; meta-analysis; prognosis

Mesh:

Year:  2020        PMID: 32064949     DOI: 10.1080/1354750X.2020.1731763

Source DB:  PubMed          Journal:  Biomarkers        ISSN: 1354-750X            Impact factor:   2.658


  4 in total

1.  External Application of a Nomogram to Predict Survival and Benefit of Peripheral Blood Inflammatory Indexes in Limited-Stage Small Cell Lung Cancer.

Authors:  Lijuan Wei; Qing Hou; Jianting Liu; Ningning Yao; Yu Liang; Xin Cao; Bochen Sun; Hongwei Li; Shuming Xu; Jianzhong Cao
Journal:  Front Oncol       Date:  2022-05-11       Impact factor: 5.738

2.  Prognostic laboratory score to predict 14-day mortality in terminally ill patients with respiratory malignancy.

Authors:  Mari Tanaka; Natsuko Kawai; Norihiro Yuasa
Journal:  Int J Clin Oncol       Date:  2022-01-23       Impact factor: 3.402

3.  Prognostic Value of Red Blood Cell Distribution Width in Resected pN1 Lung Adenocarcinoma.

Authors:  Francesco Petrella; Monica Casiraghi; Davide Radice; Elena Prisciandaro; Stefania Rizzo; Lorenzo Spaggiari
Journal:  Cancers (Basel)       Date:  2020-12-08       Impact factor: 6.639

4.  Changes in Inflammatory Markers Predict the Prognosis of Resected Hepatocellular Carcinoma with Child-Pugh A.

Authors:  Jing Zhou; Daofeng Yang
Journal:  Curr Oncol       Date:  2022-08-16       Impact factor: 3.109

  4 in total

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