Abstract

BackgroundXpert Bladder Cancer is a detection method developed in recent years, designed with the functions of integrating sample automatically, nucleic acid amplification, and target sequence detection. It is a urine assay targeting five mRNAs (CRH, IGF2, UPK1B, ANXA10, and ABL1). The purpose of this article is to review the accuracy of Xpert Bladder Cancer in the follow-up diagnosis of bladder cancer and evaluate the role of Xpert Bladder Cancer in detecting the recurrence of non-muscle-invasive bladder cancer in the round.MethodsIn the database of Embase, PubMed, Web of Science, and Cochrane Library, the articles published up to October 13, 2020, were searched and screened based on the exclusion and inclusion criteria, and data were extracted from the included studies. The sensitivity, specificity, negative likelihood ratio, positive likelihood ratio summary of receiver operating characteristic curves, and diagnostic odds ratio were combined by the Meta-DiSc 1.4 software. The Stata 12.0 software was used to obtain the assessment of publication bias.ResultsA total of 8 articles involving eight fourfold tables were finally identified. The pooled sensitivity and specificity of Xpert Bladder Cancer in the diagnosis of bladder cancer were 0.71 and 0.81, respectively. The positive likelihood ratio and negative likelihood ratio were 3.74 and 0.34, respectively. The area under the curve was 0.8407. The diagnostic odds ratio was 11.99. Deeks’ funnel plot asymmetry test manifested no publication bias.ConclusionsIn summary, Xpert Bladder Cancer presents high accuracy and specificity in monitoring bladder cancer compared with cystoscopy. More researches are still required to further confirm this conclusion.

Highlights

  • Bladder cancer (BC), ranking the 12th among the most common malignant tumors worldwide and the second among the most common cancers in the genitourinary system, has been on the rise in popularity year by year [1, 2]

  • Screening criteria Included articles have to meet all the following criteria: (1) the samples used in the experiment are human samples; (2) English literature only; (3) the research object is bladder cancer; (4) diagnostic test method: Xpert BC and cystoscopy tests, the latter being the gold standard; and (5) the data extracted is sufficient to construct a 2 × 2 table

  • Excluded documents meet one or more of the following criteria: (1) samples are animal samples or from other sources; (2) duplicate literature; (3) abstracts, lectures, conference records, and reviews; (4) articles from which the data extracted are not enough to make a 2 × 2 table; (5) lack of a gold standard for the diagnostic test method, or Xpert BC is not used for the test; and (6) patients with a history of bladder cancer or confirmed by cystoscopy

Read more

Summary

Introduction

Bladder cancer (BC), ranking the 12th among the most common malignant tumors worldwide and the second among the most common cancers in the genitourinary system, has been on the rise in popularity year by year [1, 2]. Lifelong follow-up is recommended for patients with tumors with an intermediate or a high risk of recurrence or progression [10]. A non-invasive and highly efficient detection method is desperately needed to avoid follow-up cystoscopy and cytological test for the increasing population of non-muscle-invasive bladder cancer patients. Xpert Bladder Cancer is a detection method developed in recent years, designed with the functions of integrating sample automatically, nucleic acid amplification, and target sequence detection. It is a urine assay targeting five mRNAs (CRH, IGF2, UPK1B, ANXA10, and ABL1). The purpose of this article is to review the accuracy of Xpert Bladder Cancer in the follow-up diagnosis of bladder cancer and evaluate the role of Xpert Bladder Cancer in detecting the recurrence of non-muscle-invasive bladder cancer in the round

Objectives
Methods
Results
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.