Title |
Prognostic Role of Pretreatment Plasma D-Dimer in Patients with Solid Tumors: a Systematic Review and Meta-Analysis
|
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Published in |
Cellular Physiology & Biochemistry, February 2018
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DOI | 10.1159/000487734 |
Pubmed ID | |
Authors |
Wenhan Li, Yao Tang, Yongchun Song, Szu Hao Chen, Navard Sisliyan, Ming Ni, Hao Zhang, Qingnuo Zeng, Bin Hou, Xin Xie, Dongmin Chang |
Abstract |
Elevated pretreatment plasma D-dimer level has been reported as an unfavorable prognostic indicator in several malignancies. The aim of this meta-analysis was to evaluate the prognostic value of elevated D-dimer level in solid tumors. A comprehensive search of electronic databases up to June 10, 2017 was carried out by two independent reviewers. We included studies exploring the association between pretreatment plasma D-dimer level and patients' survival outcomes in solid tumors. Overall survival (OS) was regarded as primary outcome and progression-free survival (PFS), disease-free survival (DFS) as well as cancer-specific survival (CSS) were chosen as secondary outcomes. Hazard ratio and 95% confidence interval (CI) were extracted directly or indirectly from included studies. 49 studies with 13001 patients were included in our meta-analysis. Elevated D-dimer was markedly associated with poor OS (pooled HR = 1.90, 95% CI = 1.63 - 2.20, P < 0.001). The effect was observed in all different tumor sites, disease stages, cut-off values and ethnicities. Meanwhile, patients with a high plasma D-dimer had a shorter PFS (HR = 1.46, 95% CI = 1.22-1.76; P < 0.001), DFS (HR = 2.02, 95% CI = 1.56-2.62) and CSS (HR = 2.04, 95% CI= 1.58 - 2.64). Analysis of the pretreatment plasma D-dimer might provide useful information to predict prognosis in patients with solid tumors. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 4 | 11% |
Other | 3 | 8% |
Researcher | 3 | 8% |
Student > Postgraduate | 3 | 8% |
Student > Master | 3 | 8% |
Other | 9 | 25% |
Unknown | 11 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 42% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Nursing and Health Professions | 2 | 6% |
Agricultural and Biological Sciences | 2 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 3 | 8% |
Unknown | 11 | 31% |