AI Article Synopsis

  • Perilymphatic fistula (PLF) is an inner ear condition where fluid leaks from the inner ear to the middle ear due to an abnormal connection, and early surgery may improve hearing and balance outcomes.
  • The study aims to systematically review existing literature on diagnostic tests for PLF to determine their accuracy in detecting this condition in humans.
  • Research will involve searching multiple databases for peer-reviewed articles, assessing the quality of the studies, and potentially synthesizing data from high-quality articles if applicable.

Article Abstract

Unlabelled: Perilymphatic fistula (PLF) is a challenging inner ear condition, characterized by the abnormal connection between inner and middle ear and subsequent leakage of inner ear liquid (perilymph) into the middle ear. Early surgical intervention for PLF might lead to favorable audiological and vestibular outcomes. The conventional reference standard of PLF detection is the intraoperative visualization of perilymph leakage during explorative tympanotomy or endoscopic inspection; the specificity and sensitivity of this method is unknown. Systematic reviews assessing the accuracy of diagnostic tests for PLF are not available.

Objective: To systematically review the literature for qualitative evidence exploring the diagnostic tests for the PLF diagnosis. The proposed systematic review will answer the following question: What is the accuracy of diagnostic tests in detecting perilymphatic fistula in humans?

Methods: Eligibility criteria: original peer-reviewed articles regarding studies on humans of any age containing data with diagnostic test accuracy estimation (sensitivity and specificity) for PLF diagnosis or in which diagnostic test accuracy could be calculated based on data provided, without language, study design or study date limits. MEDLINE, EMBASE, the Cochrane Central Register of Controlled Trials, Scopus, and Web of Science will be searched for eligible articles. Additional manual searches will be performed. Covidence software will be used for title and abstract screening, full text review and data extraction. The risk of bias assessment will be conducted using the Quality Assessment of Diagnostic Test Accuracy 2 (QUADAS-2) tool. If two or more high-quality articles evaluating the same diagnostic test will be identified, their findings will be quantitatively synthesized; if a quantitative synthesis is not feasible, the results will be described in a narrative summary. Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework will be used to evaluate evidence strength. Study funded by Oslo University Hospital.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11609218PMC
http://dx.doi.org/10.3389/fneur.2024.1500780DOI Listing

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