Evidence map›Paper›PMID 24642859›Full record

SynthesisPloS one2014

Prognostic role of NLR in urinary cancers: a meta-analysis.

Yong Wei, Ya-Zhi Jiang, Wen-Hui Qian

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 8 pooled it
7.9field-weighted citation impact, top 2% of its field
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

64 citing papers in PubMed, 8 syntheses or guidelines pooled it, 131 citations in OpenAlex.

  1. Prognostic Significance of the Pretreatment Neutrophil-to-Lymphocyte Ratio and Tumor-Associated Neutrophils in Head and Neck Squamous Cell Carcinoma: Systematic Review and Meta-Analysis.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
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4 more citing papers are in PubMed but not listed here.

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

3 authors at 1 institution in 1 country.

Yong WeiDepartment of Urology, Gaochun County Hospital, Nanjing, China.
Ya-Zhi JiangDepartment of Urology, Gaochun County Hospital, Nanjing, China.
Wen-Hui QianDepartment of Urology, Gaochun County Hospital, Nanjing, China.
Gaochun People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, many studies explored the role of inflammation parameters such as neutrophil-to-lymphocyte ratio (NLR) in the prognosis of urinary cancers, but the results were not consistent.

methodsWe carried out a meta-analysis of published studies to assess the prognostic value of NLR in patients with urinary cancers. Hazard ratio (OR) with 95% confidence interval (CI) was used to assess the association of NLR and OS and RFS/CSS.

resultsThe pooled results showed that high NLR was a poor predictor for OS with HR of 1.81 (95%CI: 1.48-2.21; Pheterogeneity = 0.005) and RFS/CSS (HR = 2.07, 95% CI: 1.65-2.6; Pheterogeneity = 0.849). Subgroup analyses revealed that high NLR yielded a worse OS in RCC (HR = 1.9, 95%CI: 1.47-2.45; Pheterogeneity = 0.003) and a poor RFS/CSS in RCC (HR = 1.83, 95%CI: 1.35-2.48; Pheterogeneity = 0.709), bladder cancer (HR = 2.2, 95%CI: 1.27-3.8; Pheterogeneity = 0.447) and urothelial carcinoma (HR = 2.58, 95%CI: 1.66-4.01; Pheterogeneity = 0.784).

conclusionOur results showed that NLR could act as a significant biomarker in the prognosis of urinary cancers.

Indexed as

Asian PeopleBiomarkersFemaleHumansInflammationLeukocyte CountLymphocyte CountLymphocytesMaleNeutrophilsPrognosisProportional Hazards ModelsSurvival AnalysisUrologic NeoplasmsWhite PeopleBiomarkers

Identifiers

PMID24642859
PMCPMC3958449
OpenAlexW2046212846

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.