Evidence map›Paper›PMID 31599129›Full record

SynthesisCancer medicine2019

Relationship between circulating inflammatory factors and glioma risk and prognosis: A meta-analysis.

Yuan Feng, Jia Wang, Dezhong Tan, Peng Cheng, Anhua Wu

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Yuan FengDepartment of Neurosurgery, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China.
Jia WangDepartment of Neurosurgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shanxi, People's Republic of China.
Dezhong TanDepartment of Otorhinolaryngology Head and Neck Surgery, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China.
Peng ChengDepartment of Neurosurgery, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China.ORCID 0000-0003-0626-7040
Anhua WuDepartment of Neurosurgery, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China.
First Hospital of China Medical University · CNFirst Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

Liaoning Science and Technology Plan Projects 2011225034National Natural Science Foundation of China 81172409National Natural Science Foundation of China 81472360National Natural Science Foundation of China 81872054Natural Science Foundation of Liaoning Province 20180550063
6 · The paper itself

Abstract

backgroundInflammatory factors have been considered a significant factor contributing to the development and progression of glioma. However, the relationship between circulating inflammatory factors and glioma risk as well as their prognostic values in glioma patients is still inconclusive. Here, we performed a meta-analysis to address this issue.

methodsRelevant articles were identified through PubMed, EMBASE, the Cochrane Library, Web of Science, Wanfang database, and China National Knowledge Infrastructure (CNKI) from inception to February 2019. The weighted mean differences (WMDs) or standard mean differences (SMDs) with 95% confidence intervals (CIs) were used to describe the predictive ability of the levels of circulating inflammatory factors on glioma risk. To evaluate the prognostic values of the circulating inflammatory factors in glioma, hazard ratios (HRs) with 95% CIs were used.

resultsThirty-one studies comprising 2587 patients were included. The overall analysis showed that increased circulating interleukin-6 (IL-6) [SMD 0.81 (95% CI: 0.21-1.40; P = .008)], interleukin-8 (IL-8) [SMD 1.01 (95% CI: 0.17-1.84; P = .018)], interleukin-17 (IL-17) [SMD 1.12 (95% CI: 0.26-1.98; P = .011)], tumor necrosis factor-α (TNF-α) [SMD 1.80 (95% CI: 1.03-2.56; P = .000)], transforming growth factor-β (TGF-β) [SMD 10.55 (95% CI: 5.59-15.51; P = .000)], and C-reactive protein (CRP) [SMD 0.95 (95% CI: 0.75-1.15; P = .000)] levels were significantly associated with glioma risk. On the other hand, our results showed that circulating IL-6 [HR 1.10 (95% CI: 1.05-1.16; P = .000)] and CRP [HR 2.02 (95% CI: 1.52-2.68; P = .000)] levels were highly correlated with a poor overall survival (OS) rate in glioma patients.

conclusionOur results indicate that increased circulating IL-6, IL-8, IL-17, TNF-α, TGF-β, and CRP levels are significantly associated with increased glioma risk. Moreover, our meta-analysis suggests that circulating IL-6 and CRP may serve as powerful biomarkers for a poor prognosis in glioma patients.

Indexed as

Biomarkers, TumorBrain NeoplasmsGliomaHumansInflammation MediatorsPrognosisRisk FactorsSurvival RateBiomarkers, TumorInflammation Mediatorscirculating inflammatory factorsgliomaprognosisrisk

Identifiers

PMID31599129
PMCPMC6885890
OpenAlexW2979385329

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.