Evidence map›Paper›PMID 26448011›Full record

SynthesisMedicine2015

Pretreatment Neutrophil to Lymphocyte Ratio as a Prognostic Predictor of Urologic Tumors: A Systematic Review and Meta-Analysis.

You Luo, Dong-Li She, Hu Xiong, Sheng-Jun Fu, Li Yang

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 6 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

28 citing papers in PubMed, 6 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.

You LuoFrom the Institute of Gansu Nephro-Urological Clinical Center, Institute of Urology, Department of Urology, Key Laboratory of Urological Disease of Gansu Province, Lanzhou University Second Hospital, Lanzhou, P.R. China.
Dong-Li She
Hu Xiong
Sheng-Jun Fu
Li Yang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between inflammation and tumor development and progression has been recognized in recent decades. NLR is an easily reproducible and widely used inflammatory response marker. The prognostic value of NLR for urologic tumors has been reported in succession. Here, we perform a systematic review and meta-analysis to summarize the association between the NLR and prognosis of urologic tumors. We conducted a computerized search of PubMed, Embase, and ISI Web of Knowledge to identify clinical studies that had evaluated the association between the pretreatment NLR and prognosis in urologic tumors. Prognostic outcomes included overall survival (OS), cancer-specific survival (CSS), recurrence-free survival (RFS), progression-free survival (PFS), and metastasis-free survival (MFS). We extracted and synthesized corresponding hazard ratios (HRs) and confidence intervals (CIs) using Review Manager 5.3 and STATA 13. We identified 34 retrospective cohort studies and conducted the meta-analysis. The results showed that all OS, CSS, RFS, PFS, and MFS risks were significantly different between patients with an elevated NLR and those with a low NLR in various urologic tumors. A high NLR portended poor prognosis. However, no significance was observed for CSS in patients with renal cell carcinoma (HR = 1.38, 95% CI: 0.96-1.99). Our meta-analysis suggests that NLR could be a prognostic predictor for urologic tumors. Patients with a high NLR were deemed to have a poor prognosis.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Renal CellCohort StudiesHumansLeukocyte CountLymphocytesMiddle AgedNeutrophilsPrognosisRetrospective StudiesUrologic Neoplasms

Identifiers

PMID26448011
PMCPMC4616750

What OpenQuestion holds

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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.