Publications by authors named "I Arevalo-Rodriguez"
The effect of sample site and collection procedure on identification of SARS-CoV-2 infection.
Cochrane Database Syst Rev
December 2024
Background: Sample collection is a key driver of accuracy in the diagnosis of SARS-CoV-2 infection. Viral load may vary at different anatomical sampling sites and accuracy may be compromised by difficulties obtaining specimens and the expertise of the person taking the sample. It is important to optimise sampling accuracy within cost, safety and accessibility constraints.
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- - The text discusses the importance of accurately diagnosing SARS-CoV-2 infections in managing the COVID-19 pandemic and highlights challenges faced due to shortages in RT-PCR testing reagents, prompting the search for alternative diagnostic methods.
- - The main goal is to evaluate the accuracy of alternative laboratory-based molecular tests for diagnosing SARS-CoV-2 infections, potentially enhancing testing capacity and resource utilization.
- - A systematic search for relevant studies was conducted, examining various diagnostic tests used for SARS-CoV-2, while ensuring comprehensive data collection and analysis to assess diagnostic effectiveness.
Wolbachia-carrying Aedes mosquitoes for preventing dengue infection.
Cochrane Database Syst Rev
April 2024
Background: Dengue is a global health problem of high significance, with 3.9 billion people at risk of infection. The geographic expansion of dengue virus (DENV) infection has resulted in increased frequency and severity of the disease, and the number of deaths has increased in recent years.
View Article and Find Full Text PDFBasal procalcitonin, C-reactive protein, interleukin-6, and presepsin for prediction of mortality in critically ill septic patients: a systematic review and meta-analysis.
Diagn Progn Res
August 2023
Article Synopsis
- - The study investigates the effectiveness of four biomarkers (procalcitonin, C-reactive protein, interleukin-6, and presepsin) in predicting mortality in critically ill adults with sepsis, addressing inconsistencies found in previous research.
- - A systematic review and meta-analysis of 60 studies involving over 15,000 patients revealed a high risk of bias in more than 60% of assessments for these biomarkers as prognostic indicators.
- - The findings indicate that baseline measurements of these biomarkers do not reliably predict mortality outcomes, suggesting that their role in sepsis prognosis may be limited.
Background: Diagnostic evidence of the accuracy of a test for identifying a target condition of interest can be estimated using systematic approaches following standardized methodologies. Statistical methods for the meta-analysis of diagnostic test accuracy (DTA) studies are relatively complex, presenting a challenge for reviewers without extensive statistical expertise. In 2006, we developed Meta-DiSc, a free user-friendly software to perform test accuracy meta-analysis.
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