Evidence map›Paper›PMID 27495027›Full record

Observational studyMedicine2016

Polymorphism in the IL4R gene and clinical features are associated with glioma prognosis: Analyses of case-cohort studies.

Tian Bo Jin, Shuli Du, Xi Kai Zhu, Gang Li, Yongri Ouyang, Na He, Zhiying Zhang, Yuan Zhang, Longli Kang, Dongya Yuan

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Impact ofPharmacogenomics and personalized medicine · 2023
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  3. The Impact ofPharmacogenomics and personalized medicine · 2022
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  4. Review
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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

10 authors at 3 institutions in 1 country.

Tian Bo JinKey Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region,School of Medicine, Xizang Minzu University, Xianyang, China Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine,Xizang Minzu University, Xianyang, China Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, China School of Life Sciences, Northwest University, Xi'an, Shaanxi Department of Neurosurgery, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Shuli Du
Xi Kai Zhu
Gang Li
Yongri Ouyang
Na He
Zhiying Zhang
Yuan Zhang
Longli Kang
Dongya Yuan
Xizang Minzu University · CNNorthwest University · CNAir Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory gene polymorphisms may be associated with glioma risk. The purpose of this study was to analyze effects of certain inflammatory gene and some clinical factors on patient survival.The clinical information of 269 glioma patients conceived operation from September 2010 to May 2014 to decide the 1-, 3-year survival rates according to follow-up results and analyze age, gender, the WHO classification, extent of surgical resection, radiotherapy and chemotherapy factors effects on prognosis. Survival distributions were estimated by using the Kaplan-Meier method and difference in the survival was tested using the log-rank test. To estimate the association between the IL4, IL13, IL10, IL4R SNPs, and PFS and OS in glioma, the HR and 95% CI were calculated by univariate Cox proportional hazards model. Multivariate Cox model were performed to compute adjusted HR and 95% CI. All data was analyzed with SPSS17.0 package. Extent of surgical resection, chemotherapy, and age are an important factor in glioma overall survival and progression-free survival overall. Extent of surgery and chemotherapy are important factors in astrocytoma overall survival. Univariate analysis showed that IL4R rs1801275 was significantly associated with overall survival of glioma and astrocytoma patients (P < 0.05). Multivariate Cox regression analysis showed that IL4R rs1801275 GG genotype could increase the death risk of glioma and astrocytoma patients (Glioma: hazard ratio [HR]: 4.897, 95% confidence limits [95% CI]: 1.962-12.222, P = 0.001; Astrocytoma: HR: 15.944, 95% CI: 4.019-63.253, P < 0.05).Our research results showed that extent of surgical resection, age, and chemotherapy affect the prognosis of glioma. The IL4R gene may affect the survival of glioma patients.

Indexed as

AdultAgedAnalysis of VarianceBrain NeoplasmsChinaCohort StudiesDisease-Free SurvivalFemaleGenetic Predisposition to DiseaseGenotypeGliomaHumansInterleukin-4Kaplan-Meier EstimateMaleMiddle AgedIL4 protein, humanInterleukin-4Receptors, Interleukin-4

Identifiers

PMID27495027
PMCPMC4979781
OpenAlexW2505777966

What OpenQuestion holds

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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.