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Jun 12, 2020;99 (24): e20345.

A comprehensive assessment of single nucleotide polymorphisms associated with pancreatic cancer risk: A protocol for systematic review and network meta-analysis.

Zhuo-Miao Ye, Li-Juan Li, Jing-Hui Zheng, Chi Zhang, Yun-Xin Lu, Youming Tang
Author Information
  1. Zhuo-Miao Ye: Ruikang School of Clinical Medicine, Guangxi University of Chinese Medicine.
  2. Li-Juan Li: The First Clinical Faculty of Guangxi University of Chinese Medicine.
  3. Jing-Hui Zheng: Department of Cardiology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning.
  4. Chi Zhang: Graduate School, Guangxi University of Chinese Medicine.
  5. Yun-Xin Lu: Department of Oncology.
  6. Youming Tang: Department of Gastroenterology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, China.
PMID: 32541456 DOI: 10.1097/MD.0000000000020345

Abstract

BACKGROUND: Single nucleotide polymorphisms (SNPs) have been inconsistently associated with pancreatic cancer (PC) risk. This meta-analysis aimed to synthesize relevant data on SNPs associated with PC.
METHODS: Databases were searched to identify association studies of SNPs and PC published through January 2020 from the databases of PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure, the Chinese Science and Technology Periodical Database (VIP) and Wanfang databases. Network meta-analysis and Thakkinstian algorithm were used to select the most appropriate genetic model, along with false positive report probability (FPRP) for noteworthy associations. The methodological quality of data was assessed based on the STREGA statement Stata 14.0 will be used for systematic review and meta-analysis.
RESULTS: This study will provide a high-quality evidence to find the SNP most associated with pancreatic cancer susceptibility and the best genetic model.
CONCLUSIONS: This study will explore which SNP is most associated with pancreatic cancer susceptibility.Registration: INPLASY202040023.

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MeSH Term

Algorithms
Case-Control Studies
China
False Positive Reactions
Female
Genetic Predisposition to Disease
Humans
Male
Network Meta-Analysis
Pancreatic Neoplasms
Polymorphism, Single Nucleotide
Risk
Sensitivity and Specificity
Meta-Analysis as Topic
Systematic Review as Topic
Journal Article

Word Cloud

Created with Highcharts 10.0.0associatedpancreaticcancermeta-analysisSNPsPCwillnucleotidepolymorphismsdatadatabasesScienceusedgeneticmodelsystematicreviewstudySNPsusceptibilityBACKGROUND:SingleinconsistentlyriskaimedsynthesizerelevantMETHODS:DatabasessearchedidentifyassociationstudiespublishedJanuary2020PubMedWebEmbaseCochraneLibraryChinaNationalKnowledgeInfrastructureChineseTechnologyPeriodicalDatabaseVIPWanfangNetworkThakkinstianalgorithmselectappropriatealongfalsepositivereportprobabilityFPRPnoteworthyassociationsmethodologicalqualityassessedbasedSTREGAstatementStata140RESULTS:providehigh-qualityevidencefindbestCONCLUSIONS:exploreRegistration:INPLASY202040023comprehensiveassessmentsinglerisk:protocolnetwork

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