Jian-Feng Zhao, Qiu-Ping Teng, Yang Lv, Xiao-Yi Li, Yi Ding
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Furthermore, subgroup and sensitivity analyses were conducted.</p><p><strong>Results: </strong>In this meta-analysis, 22 cohort studies with a total of 10,572,865 participants were analyzed. Meta-analysis from 15 cohort studies revealed that HBV infection was correlated with an increased risk of PC (HR = 1.53, 95% CI: 1.40-1.68, <i>p</i> < 0.00001) with no heterogeneity (<i>I</i><sup>2</sup> = 0%, <i>p</i> = 0.49). Meta-analysis from 14 cohort studies showed that HCV infection was associated with an increased risk of PC (HR = 1.82, 95% CI: 1.51-2.21, <i>p</i> < 0.00001). Most of our subgroup analyses yielded similar results. Meta-analysis from four cohort studies indicated that co-infection with HBV and HCV was linked to an increased risk of PC (HR = 2.32, 95% CI: 1.40-3.85, <i>p</i> = 0.001) with no heterogeneity observed (<i>I</i><sup>2</sup> = 0%, <i>p</i> = 0.60). The results of sensitivity analyses were robust.</p><p><strong>Conclusion: </strong>Our meta-analysis showed that HBV/HCV infection or co-infection with HBV and HCV was associated with an increased risk of PC. Future prospective cohort studies need to take into account various ethnicities and any confounding factors, as well as investigate the potential mechanisms of PC development in those with HBV/HCV.</p><p><strong>Trial registration: </strong>Open Science Framework registries (No: osf.io/n64ua).</p>","PeriodicalId":46154,"journal":{"name":"Therapeutic Advances in Infectious Disease","volume":"10 ","pages":"20499361231212161"},"PeriodicalIF":3.8000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634262/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association between hepatitis B or hepatitis C virus infection and risk of pancreatic cancer: a systematic review and meta-analysis of cohort studies.\",\"authors\":\"Jian-Feng Zhao, Qiu-Ping Teng, Yang Lv, Xiao-Yi Li, Yi Ding\",\"doi\":\"10.1177/20499361231212161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aim: </strong>With conflicting data from previous observational studies on the relationship between hepatitis B virus (HBV) or hepatitis C virus (HCV) infection and pancreatic cancer (PC), we decided to conduct a systematic review and meta-analysis in order to evaluate any potential association.</p><p><strong>Design: </strong>This is a systematic review and meta-analysis.</p><p><strong>Methods: </strong>We conducted a search of three databases (PubMed, Embase, and Web of Science) from the time of their creation up to June 2023. The summary results, including hazard ratio (HR) with 95% confidence interval (CI), were pooled using a generic inverse variance method and a random-effects model. Furthermore, subgroup and sensitivity analyses were conducted.</p><p><strong>Results: </strong>In this meta-analysis, 22 cohort studies with a total of 10,572,865 participants were analyzed. Meta-analysis from 15 cohort studies revealed that HBV infection was correlated with an increased risk of PC (HR = 1.53, 95% CI: 1.40-1.68, <i>p</i> < 0.00001) with no heterogeneity (<i>I</i><sup>2</sup> = 0%, <i>p</i> = 0.49). Meta-analysis from 14 cohort studies showed that HCV infection was associated with an increased risk of PC (HR = 1.82, 95% CI: 1.51-2.21, <i>p</i> < 0.00001). Most of our subgroup analyses yielded similar results. 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引用次数: 0
摘要
背景和目的:鉴于先前关于乙型肝炎病毒(HBV)或丙型肝炎病毒(HCV)感染与胰腺癌(PC)之间关系的观察性研究数据相互矛盾,我们决定进行系统回顾和荟萃分析,以评估任何潜在的关联。设计:这是一项系统回顾和荟萃分析。方法:我们对三个数据库(PubMed、Embase和Web of Science)进行了检索,检索时间从数据库创建到2023年6月。汇总结果,包括95%置信区间(CI)的风险比(HR),采用通用反方差法和随机效应模型进行汇总。并进行亚组分析和敏感性分析。结果:在本荟萃分析中,共分析了22项队列研究,共10,572,865名参与者。来自15项队列研究的荟萃分析显示,HBV感染与PC风险增加相关(HR = 1.53, 95% CI: 1.40-1.68, p2 = 0%, p = 0.49)。来自14项队列研究的荟萃分析显示,HCV感染与PC风险增加相关(HR = 1.82, 95% CI: 1.51-2.21, p p = 0.001),未观察到异质性(I2 = 0%, p = 0.60)。敏感性分析的结果是稳健的。结论:我们的荟萃分析显示HBV/HCV感染或HBV和HCV合并感染与PC风险增加相关。未来的前瞻性队列研究需要考虑不同的种族和任何混杂因素,并研究HBV/HCV患者PC发展的潜在机制。试验注册:开放科学框架注册(No: osf.io/n64ua)。
Association between hepatitis B or hepatitis C virus infection and risk of pancreatic cancer: a systematic review and meta-analysis of cohort studies.
Background and aim: With conflicting data from previous observational studies on the relationship between hepatitis B virus (HBV) or hepatitis C virus (HCV) infection and pancreatic cancer (PC), we decided to conduct a systematic review and meta-analysis in order to evaluate any potential association.
Design: This is a systematic review and meta-analysis.
Methods: We conducted a search of three databases (PubMed, Embase, and Web of Science) from the time of their creation up to June 2023. The summary results, including hazard ratio (HR) with 95% confidence interval (CI), were pooled using a generic inverse variance method and a random-effects model. Furthermore, subgroup and sensitivity analyses were conducted.
Results: In this meta-analysis, 22 cohort studies with a total of 10,572,865 participants were analyzed. Meta-analysis from 15 cohort studies revealed that HBV infection was correlated with an increased risk of PC (HR = 1.53, 95% CI: 1.40-1.68, p < 0.00001) with no heterogeneity (I2 = 0%, p = 0.49). Meta-analysis from 14 cohort studies showed that HCV infection was associated with an increased risk of PC (HR = 1.82, 95% CI: 1.51-2.21, p < 0.00001). Most of our subgroup analyses yielded similar results. Meta-analysis from four cohort studies indicated that co-infection with HBV and HCV was linked to an increased risk of PC (HR = 2.32, 95% CI: 1.40-3.85, p = 0.001) with no heterogeneity observed (I2 = 0%, p = 0.60). The results of sensitivity analyses were robust.
Conclusion: Our meta-analysis showed that HBV/HCV infection or co-infection with HBV and HCV was associated with an increased risk of PC. Future prospective cohort studies need to take into account various ethnicities and any confounding factors, as well as investigate the potential mechanisms of PC development in those with HBV/HCV.
Trial registration: Open Science Framework registries (No: osf.io/n64ua).