Evidence map›Paper›PMID 30962764›Full record

ArticleCancer cell international2019

Prognostic significance of elevated pretreatment systemic inflammatory markers for patients with prostate cancer: a meta-analysis.

Hao Peng, Xiaogang Luo

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Article in Cancer cell international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Hao PengDepartment of Urological Surgery, Zhoukou Central Hospital of Henan Province, No. 26 Renmin East Road, Chuanhui District, Zhoukou, 466000 China.
Xiaogang Luo2State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPretreatment inflammatory factors, including neutrophil, lymphocyte, platelet and monocyte counts as well as the ratios between them such as neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and lymphocyte-monocyte ratio (LMR) have been suggested as potential prognostic predictors for patients with prostate cancer (PCa). However, the prognostic effects remain controversial. Therefore, the goal of this study was evaluate the prognostic values of these markers for PCa patients using a meta-analysis.

methodsPotentially relevant publications in PubMed and Cochrane Library were searched. Pooled hazard ratio (HR) with 95% confidence interval (CI) for overall survival (OS), cancer-specific survival (CSS), progression-free survival (PFS), recurrence free survival (RFS) and distant metastases-free survival (DMFS) were determined using a fixed or random effects model by STATA 13.0 software.

resultsThirty-two studies involving 21,949 participants were included. Our pooled results demonstrated that a high pretreatment NLR (HR = 1.55, 95% CI 1.37-1.76), PLR (HR = 1.72; 95% CI 1.36-2.18), neutrophil (HR = 1.10; 95% CI 1.03-1.18 and monocyte counts (HR = 2.25; 95% CI 1.67-3.05) predicted inferior OS, while elevated pretreatment LMR (HR = 2.27; 95% CI 1.76-2.94) was correlated with favorable OS. Furthermore, the higher NLR (HR = 1.62; 95% CI 1.29-2.04) and monocyte counts (HR = 1.75; 95% CI 1.36-2.25), but lower LMR predicted worse PFS (HR = 2.18; 95% CI 1.58-3.02); poor RFS was only associated with NLR (HR = 1.12; 95% CI 1.04-1.20). The subgroup analysis showed that the higher NLR may be a predictive factor for OS only in patients with mCRPC and undergoing chemotherapy; while the higher PLR was only significantly associated with OS in localized PCa regardless of treatment.

conclusionThis meta-analysis reveals that pretreatment NLR, PLR, LMR, neutrophil, and monocyte counts may be effective predictive biomarkers for prognosis in patients with PCa.

Indexed as

Inflammatory markersMeta-analysisPrognosisProstate cancer

Identifiers

PMID30962764
PMCPMC6434630

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.