Frank Ssedyabane, Nixon Niyonzima, Joseph Ngonzi, Deusdedit Tusubira, Moses Ocan, Dickens Akena, Eve Namisango, Robert Apunyo, Alison Annet Kinengyere, Ekwaro A Obuku
{"title":"The diagnostic accuracy of serum microRNAs in detection of cervical cancer: a systematic review protocol.","authors":"Frank Ssedyabane, Nixon Niyonzima, Joseph Ngonzi, Deusdedit Tusubira, Moses Ocan, Dickens Akena, Eve Namisango, Robert Apunyo, Alison Annet Kinengyere, Ekwaro A Obuku","doi":"10.1186/s41512-023-00142-4","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cervical cancer remains a public health problem worldwide, especially in sub-Saharan Africa. There are challenges in timely screening and diagnosis for early detection and intervention. Therefore, studies on cervical cancer and cervical intraepithelial neoplasia suggest the need for new diagnostic approaches including microRNA technology. Plasma/serum levels of microRNAs are elevated or reduced compared to the normal state and their diagnostic accuracy for detection of cervical neoplasms has not been rigorously assessed more so in low-resource settings such as Uganda. The aim of this systematic review was therefore to assess the diagnostic accuracy of serum microRNAs in detecting cervical cancer.</p><p><strong>Methods: </strong>We will perform a systematic review following the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) statement. We will search for all articles in MEDLINE/PubMed, Web of Science, Embase, and CINAHL, as well as grey literature from 2012 to 2022. Our outcomes will be sensitivity, specificity, negative predictive values, positive predictive values or area under the curve (Nagamitsu et al, Mol Clin Oncol 5:189-94, 2016) for each microRNA or microRNA panel. We will use the quality assessment of diagnostic accuracy studies (Whiting et al, Ann Intern Med 155:529-36, 2011) tool to assess the risk of bias of included studies. Our results will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Diagnostic Test Accuracy studies (PRISMA-DTA). We will summarise studies in a flow chart and then describe them using a structured narrative synthesis. If possible, we shall use the Lehmann model bivariate approach for the meta analysis USE OF THE REVIEW RESULTS: This systematic review will provide information on the relevance of microRNAs in cervical cancer. This information will help policy makers, planners and researchers in determining which particular microRNAs could be employed to screen or diagnose cancer of the cervix.</p><p><strong>Systematic review registration: </strong>This protocol has been registered in PROSPERO under registration number CRD42022313275.</p>","PeriodicalId":72800,"journal":{"name":"Diagnostic and prognostic research","volume":"7 1","pages":"4"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887905/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diagnostic and prognostic research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41512-023-00142-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Cervical cancer remains a public health problem worldwide, especially in sub-Saharan Africa. There are challenges in timely screening and diagnosis for early detection and intervention. Therefore, studies on cervical cancer and cervical intraepithelial neoplasia suggest the need for new diagnostic approaches including microRNA technology. Plasma/serum levels of microRNAs are elevated or reduced compared to the normal state and their diagnostic accuracy for detection of cervical neoplasms has not been rigorously assessed more so in low-resource settings such as Uganda. The aim of this systematic review was therefore to assess the diagnostic accuracy of serum microRNAs in detecting cervical cancer.
Methods: We will perform a systematic review following the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P) statement. We will search for all articles in MEDLINE/PubMed, Web of Science, Embase, and CINAHL, as well as grey literature from 2012 to 2022. Our outcomes will be sensitivity, specificity, negative predictive values, positive predictive values or area under the curve (Nagamitsu et al, Mol Clin Oncol 5:189-94, 2016) for each microRNA or microRNA panel. We will use the quality assessment of diagnostic accuracy studies (Whiting et al, Ann Intern Med 155:529-36, 2011) tool to assess the risk of bias of included studies. Our results will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Diagnostic Test Accuracy studies (PRISMA-DTA). We will summarise studies in a flow chart and then describe them using a structured narrative synthesis. If possible, we shall use the Lehmann model bivariate approach for the meta analysis USE OF THE REVIEW RESULTS: This systematic review will provide information on the relevance of microRNAs in cervical cancer. This information will help policy makers, planners and researchers in determining which particular microRNAs could be employed to screen or diagnose cancer of the cervix.
Systematic review registration: This protocol has been registered in PROSPERO under registration number CRD42022313275.
背景:子宫颈癌仍然是世界范围内的一个公共卫生问题,特别是在撒哈拉以南非洲。在及时筛查和诊断以早期发现和干预方面存在挑战。因此,对宫颈癌和宫颈上皮内瘤变的研究提示需要新的诊断方法,包括microRNA技术。与正常状态相比,血浆/血清microrna水平升高或降低,并且在诸如乌干达等资源匮乏的环境中,其检测宫颈肿瘤的诊断准确性尚未得到严格评估。因此,本系统综述的目的是评估血清microrna检测宫颈癌的诊断准确性。方法:我们将按照系统评价和荟萃分析方案的首选报告项目(PRISMA-P)声明进行系统评价。我们将检索MEDLINE/PubMed、Web of Science、Embase和CINAHL中的所有文章,以及2012年至2022年的灰色文献。我们的结果将是每个microRNA或microRNA面板的敏感性、特异性、阴性预测值、阳性预测值或曲线下面积(Nagamitsu等人,Mol clinoncol 5:19 9-94, 2016)。我们将使用诊断准确性研究的质量评估(Whiting et al ., Ann Intern Med 155:529- 36,2011)工具来评估纳入研究的偏倚风险。我们的结果将根据诊断测试准确性研究系统评价和荟萃分析的首选报告项目(PRISMA-DTA)进行报告。我们将在流程图中总结研究,然后使用结构化的叙事综合来描述它们。如果可能的话,我们将使用Lehmann模型双变量方法进行meta分析。综述结果:本系统综述将提供microrna在宫颈癌中的相关性信息。这些信息将有助于决策者、计划者和研究人员确定哪些特定的microrna可以用于筛查或诊断宫颈癌。系统评价注册:本方案已在PROSPERO注册,注册号为CRD42022313275。