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使用荧光原位杂交技术监测非肌肉浸润性膀胱癌:系统评价与荟萃分析方案

Surveillance of non-muscle invasive bladder cancer using fluorescence in situ hybridization: Protocol for a systematic review and meta-analysis.

作者信息

Lin Tianhai, Jin Hongyu, Gong Lina, Yu Ruichao, Sun Sheng, Yang Lu, Zhang Peng, Han Ping, Cheng Jingqiu, Liu Liangren, Wei Qiang

机构信息

Department of Urology, Institute of Urology.

Key Laboratory of Transplant Engineering and Immunology, West China Hospital.

出版信息

Medicine (Baltimore). 2019 Feb;98(7):e14573. doi: 10.1097/MD.0000000000014573.

Abstract

BACKGROUND

To evaluate the diagnostic effectiveness and predictive value of fluorescence in situ hybridization (FISH) in the surveillance of non-muscle invasive bladder cancer (NMIBC).

METHODS

PubMed/Medline, EMBASE, Web of Science, Ovid, Web of Knowledge, and Cochrane Library will be searched for studies related to the topic. The identification, inclusion, and exclusion flowcharts will be conducted according to preferred reporting items for systematic reviews and meta-analysis guidelines. The identified reports will be critically appraised according to the Newcastle-Ottawa scale, quality assessment of diagnostic accuracy studies-2 and standards for reporting of diagnostic accuracy 2015. Forest plots will be generated to display hazard ratios, sensitivities, and specificities. Pooled estimates with their 95% confidence intervals will be calculated using the bivariate model, the hierarchical summary receiver operating characteristic model and a fixed- or random-effects model.

RESULTS

This study will provide evidence and data to form a comprehensive understanding of the value of FISH in the surveillance of NMIBC.

CONCLUSION

The diagnostic efficacy of FISH will be affected by post-therapy factors. However, FISH still could facilitate the surveillance of NMIBC owing to its non-invasive feature. This study will improve the clinical decision-making and enlighten the future research of NMIBC.

摘要

背景

评估荧光原位杂交(FISH)在非肌层浸润性膀胱癌(NMIBC)监测中的诊断效能及预测价值。

方法

检索PubMed/Medline、EMBASE、Web of Science、Ovid、Web of Knowledge和Cochrane图书馆中与该主题相关的研究。将根据系统评价和Meta分析的首选报告项目指南制定识别、纳入和排除流程图。根据纽卡斯尔-渥太华量表、诊断准确性研究的质量评估-2和2015年诊断准确性报告标准对纳入的报告进行严格评价。将生成森林图以展示风险比、敏感性和特异性。使用双变量模型、分层汇总接受者操作特征模型以及固定效应或随机效应模型计算合并估计值及其95%置信区间。

结果

本研究将提供证据和数据,以全面了解FISH在NMIBC监测中的价值。

结论

FISH的诊断效能将受到治疗后因素的影响。然而,由于其非侵入性特征,FISH仍可促进NMIBC的监测。本研究将改善临床决策,并为NMIBC的未来研究提供启示。

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