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1.
Clin Exp Allergy ; 47(3): 410-429, 2017 Mar.
Article in English | MEDLINE | ID: mdl-27906490

ABSTRACT

OBJECTIVES: To identify and synthesize evidence on the diagnostic accuracy of FE NO for asthma in adults. MATERIALS AND METHODS: Systematic searches (nine key biomedical databases and trial registers) were carried out on November 2014. Records were included if they recruited patients with the symptoms of asthma; used a single set of inclusion criteria; measured FE NO50 in accordance with American Thoracic Society guidelines, 2005 (off-line excluded); reported/allowed calculation of true-positive, true-negative, false-positive and false-negative patients as classified against any reference standard. Study quality was assessed using QUADAS II. Meta-analysis was planned where clinical study heterogeneity allowed. Rule-in and rule-out uses of FE NO were considered. RESULTS: A total of 4861 records were identified originally and 1312 in an update. Twenty-seven studies were included. Heterogeneity precluded meta-analysis. Results varied even within subgroups of studies. Cut-off values for the best sum of sensitivity and specificity varied from 12 to 55 p.p.b., but did not produce high accuracy. 100% sensitivity or 100% specificity was reported by some studies indicating potential use as a rule-in or rule-out strategy. CONCLUSIONS AND CLINICAL RELEVANCE: FE NO50 had variable diagnostic accuracy even within subgroups of studies with similar characteristics. Diagnostic accuracy, optimal cut-off values and best position for FE NO50 within a pathway remain poorly evidenced.


Subject(s)
Asthma/diagnosis , Asthma/metabolism , Exhalation , Nitric Oxide/metabolism , Adult , Biomarkers , Humans , Respiratory Function Tests , Sensitivity and Specificity
2.
Eur J Surg Oncol ; 37(11): 928-36, 2011 Nov.
Article in English | MEDLINE | ID: mdl-21855267

ABSTRACT

INTRODUCTION: Current methods of identifying axillary node metastases in breast cancer patients are highly accurate, but are associated with several adverse events. This review evaluates the diagnostic accuracy of magnetic resonance imaging (MRI) techniques for identification of axillary metastases in early stage newly diagnosed breast cancer patients. METHODS: Comprehensive searches were conducted in April 2009. Study quality was assessed. Sensitivity and specificity were meta-analysed using a bivariate random effects approach, utilising pathological diagnosis via node biopsy as the comparative gold standard. RESULTS: Based on the highest sensitivity and specificity reported in each of the nine studies evaluating MRI (n = 307 patients), mean sensitivity was 90% (95% CI: 78-96%; range 65-100%) and mean specificity 90% (95% CI: 75-96%; range 54-100%). Across five studies evaluating ultrasmall super-paramagnetic iron oxide (USPIO)-enhanced MRI (n = 93), mean sensitivity was 98% (95% CI: 61-100%) and mean specificity 96% (95% CI: 72-100%). Across three studies of gadolinium-enhanced MRI (n = 187), mean sensitivity was 88% (95% CI: 78-94%) and mean specificity 73% (95% CI: 63-81%). In the single study of in-vivo proton MR spectroscopy (n = 27), sensitivity was 65% (95% CI: 38-86%) and specificity 100% (95% CI: 69-100%). CONCLUSIONS: USPIO-enhanced MRI showed a trend towards higher sensitivity and specificity and may make a useful addition to the current diagnostic pathway. Additional larger studies with standardised methods and standardised criteria for classifying a node as positive are needed. Current estimates of sensitivity and specificity do not support replacement of SLNB with any current MRI technology in this patient group.


Subject(s)
Breast Neoplasms/secondary , Lymph Nodes/pathology , Lymphatic Metastasis/diagnosis , Magnetic Resonance Imaging/methods , Axilla , Breast Neoplasms/diagnosis , Female , Humans , Reproducibility of Results
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