ArticleThoracic cancer2020
The preoperative platelet distribution width: A predictive factor of the prognosis in patients with non-small cell lung cancer.
Article in Thoracic cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Epidemiological characteristics of Echinococcus granulosus infection in children from some sites in Xinjiang and its association with platelets.BMC infectious diseases · 2026Article
- Clinical significance of postoperative thrombocytosis after vats lobectomy for NSCLC.Journal of cardiothoracic surgery · 2024Article
- Establishment and validation of a nomogram based on coagulation parameters to predict the prognosis of pancreatic cancer.BMC cancer · 2023Article
- A combined preoperative red cell distribution width and carcinoembryonic antigen score contribute to prognosis prediction in stage I lung adenocarcinoma.World journal of surgical oncology · 2023Article
- Preoperative PDW levels predict pulmonary metastasis in patients with hepatocellular carcinoma.BMC cancer · 2022Article
- Prognostic value of selected platelet parameters of patients operated for non-small cell lung cancer.Journal of thoracic disease · 2022Article
- Preoperative Platelet Distribution Width Represents a Novel Prognostic Biomarker in Patients With Nonmetastatic Renal Cell Carcinoma: A Retrospective Clinical Analysis.Frontiers in oncology · 2022Article
- [Prognostic value of preoperative platelet parameters in locally advanced renal cell carcinoma].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2021Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundThe prognostic value of platelet distribution width (PDW) is different in various malignancies. The purpose of this study was to identify the relationship between preoperative PDW and survival in patients with non-small cell lung cancer (NSCLC).
methodsOptimal cutoff values of PDW were confirmed using a receiver operating characteristic (ROC) curve. The Kaplan-Meier method and log-rank test were used to estimate disease-free survival (DFS) and overall survival (OS). Univariate and multivariate Cox regression models were used for prognostic analysis. The likelihood ratio test (LRT) and Akaike information criterion (AIC) were used to compare two models of the TNM staging system and the PDW-TNM staging system (combination of PDW and the TNM staging system).
resultsSurvival analysis indicated that the disease-free survival (DFS) and overall survival (OS) of patients with PDW > 12.65 were both significantly longer than those of patients with PDW ≤ 12.65. Multivariate analysis showed that PDW was an independent prognostic factor for DFS and OS. After the two prediction models were established, further LRT analysis showed that the PDW-TNM model had a better ability to assess patient prognosis.
conclusionsPDW might act as an independent risk factor to predict progression and prognosis. Preoperative PDW combined with the TNM staging system showed a better ability to assess the prognosis of NSCLC patients. KEY POINTS: Our study focused on the prognostic value of preoperative PDW in 750 patients with NSCLC. We also analyzed preoperative PDW in different stages and histological subtypes systematically. A model built by preoperative PDW combined with the TNM staging system had a better prognostic ability. LRT was used to calculate values of the goodness of fit between the model and the TNM staging system.
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