Evidence map›Paper›PMID 29515785›Full record

ArticleOncotarget2018

Prognostic value of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in intensity modulated radiation therapy for nasopharyngeal carcinoma.

Yanming Jiang, Song Qu, Xinbin Pan, Shiting Huang, Xiaodong Zhu

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Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yanming JiangDepartment of Radiation Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Song QuDepartment of Radiation Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Xinbin PanDepartment of Radiation Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Shiting HuangDepartment of Radiation Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Xiaodong ZhuDepartment of Radiation Oncology, Affiliated Tumor Hospital of Guangxi Medical University, Cancer Institute of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammatory response markers plays an important role in tumor progression. The aim of this analysis was to evaluate whether the neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) could predict the prognosis of nasopharyngeal carcinoma(NPC). MATERIALS AND

methods247 patients who underwent Intensity Modulated Radiation Therapy( IMRT )were enrolled from January 2012 and December 2012. NLR, and PLR were calculated from peripheral blood cell counts taken at pre-treatment. Optimal cutoff values of NLR and PLR were determined on the basis of receiver operating characteristic curve analysis. Overall survival (OS), progression-free survival(PFS), distant metastasis-free survival (DMFS) and loco-regional recurrence-free survival ( LRFS) rates were compared according to NLR and PLR level respectively. Multivariate analysis was performed to assess the prognostic value of NLR and PLR.

resultsThe 5-year estimated OS, PFS, LRFS and DFS were 87.2, 77.8, 96.9, and 86.2%, respectively. Our results shows that the NLR was significantly associated with T-stage (

conclusionsNLR is a strong prognostic factor for NPC patients. NLR might not be a useful indicator for selection of treatment strategies for loco-regionally advanced NPC.

Indexed as

nasopharyngeal carcinomaNLRPLRprognosis

Identifiers

PMID29515785
PMCPMC5839416

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