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      Prognostic Value of Plasma Fibrinogen in Lung Cancer Patients: A Meta-Analysis

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          Abstract

          Background: The prognostic role of plasma fibrinogen in lung cancer remains controversial. The aim of this meta-analysis was to assess the prognostic value of plasma fibrinogen in lung cancer.

          Methods: We performed a systematic literature search to identify eligible studies in PubMed, Embase and the Cochrane Library database. The hazard ratios (HR) and their 95% confidence intervals (CI) were collected from these eligible studies and were used to assess the relationship between plasma fibrinogen and lung cancer.

          Results: A total of 16 studies including 6,881 patients were selected in this meta-analysis. The results showed that elevated plasma fibrinogen in lung cancer patients was correlated with poor overall survival (OS) (HR = 1.38, 95% CI: 1.22-1.55, P < 0.001) and disease-free survival (DFS) / progress-free survival (PFS). (HR = 1.29, 95% CI: 1.01-1.65, P = 0.042). When stratified by cut-off value for OS and DFS/PFS, there was no significant heterogeneity. And the results of “cut-off value ≥ 400mg/dl” group showed that the high level of fibrinogen in serum was associated with worse OS and DFS/PFS of lung cancer. In further subgroup analysis by tumor histology, high plasma fibrinogen was also associated with worse OS in non-small cell lung cancer (NSCLC) (HR = 1.32, 95% CI: 1.14-1.53, P < 0.001). However, there was no significant association between high plasma fibrinogen and poor DFS in NSCLC patients (HR = 1.24, 95% CI: 0.97-1.57, P = 0.08). The Egger's regression test indicated evidence of publication bias for DFS/PFS.

          Conclusions: Elevated plasma fibrinogen, particularly defined as a plasma fibrinogen concentration of ≥ 400mg/dl, could be a promising indicator for worse OS in lung cancer patients, including NSCLC.

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          Most cited references37

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          Extracting summary statistics to perform meta-analyses of the published literature for survival endpoints.

          Meta-analyses aim to provide a full and comprehensive summary of related studies which have addressed a similar question. When the studies involve time to event (survival-type) data the most appropriate statistics to use are the log hazard ratio and its variance. However, these are not always explicitly presented for each study. In this paper a number of methods of extracting estimates of these statistics in a variety of situations are presented. Use of these methods should improve the efficiency and reliability of meta-analyses of the published literature with survival-type endpoints.
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            The systemic inflammation-based Glasgow Prognostic Score: a decade of experience in patients with cancer.

            Since the initial work, a decade ago that the combination of C-reactive protein and albumin, the Glasgow Prognostic Score (GPS), had independent prognostic value in patients with cancer, there have been more than 60 studies (>30,000 patients) that have examined and validated the use of the GPS or the modified GPS (mGPS) in a variety of cancer scenarios. The present review provides a concise overview of these studies and comments on the current and future clinical utility of this simple objective systemic inflammation-based score. The GPS/mGPS had independent prognostic value in (a) unselected cohorts (4 studies, >19,400 patients) (b) operable disease (28 studies, >8,000 patients) (c) chemo/radiotherapy (11 studies, >1500 patients) (d) inoperable disease (11 studies, >2,000 patients). Association studies (15 studies, >2,000 patients) pointed to an increased GPS/mGPS being associated with increased weight and muscle loss, poor performance status, increased comorbidity, increased pro-inflammatory and angiogenic cytokines and complications on treatment. These studies have originated from 13 different countries, in particular the UK and Japan. A chronic systemic inflammatory response, as evidenced by the GPS/mGPS, is clearly implicated in the prognosis of patients with cancer in a variety of clinical scenarios. The GPS/mGPS is the most extensively validated of the systemic inflammation-based prognostic scores and therefore may be used in the routine clinical assessment of patients with cancer. It not only identifies patients at risk but also provides a well defined therapeutic target for future clinical trials. It remains to be determined whether the GPS has prognostic value in other disease states. Copyright © 2012 Elsevier Ltd. All rights reserved.
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              A comparison of statistical methods for meta-analysis.

              Meta-analysis may be used to estimate an overall effect across a number of similar studies. A number of statistical techniques are currently used to combine individual study results. The simplest of these is based on a fixed effects model, which assumes the true effect is the same for all studies. A random effects model, however, allows the true effect to vary across studies, with the mean true effect the parameter of interest. We consider three methods currently used for estimation within the framework of a random effects model, and illustrate them by applying each method to a collection of six studies on the effect of aspirin after myocardial infarction. These methods are compared using estimated coverage probabilities of confidence intervals for the overall effect. The techniques considered all generally have coverages below the nominal level, and in particular it is shown that the commonly used DerSimonian and Laird method does not adequately reflect the error associated with parameter estimation, especially when the number of studies is small. Copyright 2001 John Wiley & Sons, Ltd.
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                Author and article information

                Journal
                J Cancer
                J Cancer
                jca
                Journal of Cancer
                Ivyspring International Publisher (Sydney )
                1837-9664
                2018
                10 October 2018
                : 9
                : 21
                : 3904-3911
                Affiliations
                Department of Respiration, Nanjing First Hospital, Nanjing Medical University, Nanjing, People's Republic of China.
                Author notes
                ✉ Corresponding author: Wei Gu, Department of Respiration, Nanjing First Hospital, Nanjing Medical University, 68 Changle Road, Nanjing 210006, Jiangsu Province, People's Republic of China. Tel: + 86 25 87726380; E-mail: guwei@ 123456njmu.edu.cn .

                Competing Interests: The authors have declared that no competing interest exists.

                Article
                jcav09p3904
                10.7150/jca.26360
                6218779
                30410594
                ceb4eff8-5847-45d6-b9f1-6480a9d7745e
                © Ivyspring International Publisher

                This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license ( https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.

                History
                : 28 March 2018
                : 17 August 2018
                Categories
                Research Paper

                Oncology & Radiotherapy
                fibrinogen,lung cancer,non-small cell lung cancer,prognosis,meta-analysis
                Oncology & Radiotherapy
                fibrinogen, lung cancer, non-small cell lung cancer, prognosis, meta-analysis

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