Evidence map›Paper›PMID 36891435›Full record

ReviewIndian journal of surgical oncology2023

ERCC2 rs13181 Polymorphism Association with Glioma Risk: an Update Meta-Analysis.

Nader Salari, Shna Rasoulpoor, Shervin Shabani, Kamran Mansouri, Shadi Bokaee, Reza Fatahian, Negin Farshchian, Masoud Mohammadi, Melika Hosseinian-Far

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Indian journal of surgical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 4 institutions in 2 countries.

Nader SalariDepartment of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Shna RasoulpoorStudent Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Shervin ShabaniStudent Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Kamran MansouriMedical Biology Research Centre, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Shadi BokaeeFaculty of Health and Life Sciences, School of Life Sciences, Coventry University, Coventry, UK.
Reza FatahianDepartment of Neurosurgery, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Negin FarshchianDepartment of Radiation Oncology, School of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Masoud MohammadiCellular and Molecular Research Center, Gerash University of Medical Sciences, Gerash, Iran.ORCID 0000-0002-5722-8300
Melika Hosseinian-FarDepartment of Food Science & Technology, Faculty of Agriculture, Ferdowsi University of Mashhad (FUM), Mashhad, Iran.
Kermanshah University of Medical Sciences · IRCoventry University · GBFerdowsi University of Mashhad · IRGerash University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioma is the most common type of primary brain tumour which accounts for about 30% of all brain and central nervous system tumours, and approximately 70% of adult malignant brain tumours. Numerous studies have been performed to assess the relationship between ERCC2 rs13181 polymorphism and the risk of glioma development, yet these findings of these studies are often inconsistent and contradictory. Therefore, the aim of this study is to conduct a systematic review and meta-analysis to assess the role of ERCC2 rs13181 in glioma developing. In this work, we have conducted a systematic review and meta-analysis. In order to collect the results of relevant studies on the association of ERCC2 rs13181 gene polymorphism with glioma, we initially searched the Scopus, Embase, Web of Science (WoS), PubMed, and ScienceDirect databases, without a lower time limit, and until June 2020. In order to analyse the eligible studies, the random effects model was used and the heterogeneity of the studies was investigated with the

Indexed as

ERCC2GliomaMeta-analysisrs13181

Identifiers

PMID36891435
PMCPMC9986186
OpenAlexW4292414898

What OpenQuestion holds

Textmetadata
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.