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Journal ArticleDOI

Accuracy of rapid influenza diagnostic tests: a meta-analysis.

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TLDR
In this article, the authors examined the accuracy of rapid influenza diagnostic tests (RIDTs) in adults and children with influenza-like illness and evaluated factors associated with higher accuracy.
Abstract
Background Timely diagnosis of influenza can help clinical management. Purpose To examine the accuracy of rapid influenza diagnostic tests (RIDTs) in adults and children with influenza-like illness and evaluate factors associated with higher accuracy. Data sources PubMed and EMBASE through December 2011; BIOSIS and Web of Science through March 2010; and citations of articles, guidelines, reviews, and manufacturers. Study selection Studies that compared RIDTs with a reference standard of either reverse transcriptase polymerase chain reaction (first choice) or viral culture. Data extraction Reviewers abstracted study data by using a standardized form and assessed quality by using Quality Assessment of Diagnostic Accuracy Studies criteria. Data synthesis 159 studies evaluated 26 RIDTs, and 35% were conducted during the H1N1 pandemic. Failure to report whether results were assessed in a blinded manner and the basis for patient recruitment were important quality concerns. The pooled sensitivity and specificity were 62.3% (95% CI, 57.9% to 66.6%) and 98.2% (CI, 97.5% to 98.7%), respectively. The positive and negative likelihood ratios were 34.5 (CI, 23.8 to 45.2) and 0.38 (CI, 0.34 to 0.43), respectively. Sensitivity estimates were highly heterogeneous, which was partially explained by lower sensitivity in adults (53.9% [CI, 47.9% to 59.8%]) than in children (66.6% [CI, 61.6% to 71.7%]) and a higher sensitivity for influenza A (64.6% [CI, 59.0% to 70.1%) than for influenza B (52.2% [CI, 45.0% to 59.3%). Limitation Incomplete reporting limited the ability to assess the effect of important factors, such as specimen type and duration of influenza symptoms, on diagnostic accuracy. Conclusion Influenza can be ruled in but not ruled out through the use of RIDTs. Sensitivity varies across populations, but it is higher in children than in adults and for influenza A than for influenza B. Primary funding source Canadian Institutes of Health Research.

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Citations
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Community-acquired pneumonia.

TL;DR: In this paper, community-acquired pneumonia is a commonly diagnosed illness in which no causative organism is identified in half the cases and molecular diagnostic techniques have the potential to lead to more targeted therapy in the face of increasing antibiotic resistance.
References
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Journal ArticleDOI

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

TL;DR: Moher et al. as mentioned in this paper introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses, which is used in this paper.
Journal Article

Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.

TL;DR: The QUOROM Statement (QUality Of Reporting Of Meta-analyses) as mentioned in this paper was developed to address the suboptimal reporting of systematic reviews and meta-analysis of randomized controlled trials.
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Mortality Associated With Influenza and Respiratory Syncytial Virus in the United States

TL;DR: Mortality associated with both influenza and RSV circulation disproportionately affects elderly persons, and influenza deaths have increased substantially in the last 2 decades, in part because of aging of the population, highlighting the need for better prevention measures, including more effective vaccines and vaccination programs for elderly persons.
Journal ArticleDOI

The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews

TL;DR: In this article, an evidence-based quality assessment tool called QUADAS was proposed to assess the quality of primary studies of diagnostic accuracy, based on the results of three previously conducted reviews of the diagnostic literature.
Journal ArticleDOI

Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews.

TL;DR: The bivariate model can be seen as an improvement and extension of the traditional sROC approach by reanalyzing the data of a published meta-analysis of diagnostic studies reporting pairs of sensitivity and specificity.
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