Diagnostic Test Accuracy of the YEARS Algorithm for Pulmonary Embolism A systematic review and meta-analysis
Authors: Te Haara, S.R., De Rezende, H. and Wang, C.
Journal: Sultan Qaboos University Medical Journal
Volume: 24
Issue: 4
Pages: 491-500
eISSN: 2075-0528
ISSN: 2075-051X
DOI: 10.18295/squmj.1.2024.007
Abstract:This systematic review and meta-analysis aimed to assess the diagnostic accuracy of the YEARS algorithm in excluding pulmonary embolism, as well as to compare the utilisation of advanced imaging modalities between the YEARS approach and standard clinical practice. Eligible studies were identified from multiple databases spanning July 2017 to September 2022, following the Joanna Briggs Institute methodology for diagnostic accuracy reviews. A total of 10 studies, involving approximately 14,000 participants, were included in the analysis. The YEARS algorithm demonstrated a sensitivity of 96% (95% confidence interval [CI]: 93–98%) and a specificity of 50% (95% CI: 33–67%). Additonally, the risk ratio for advanced imaging utilisation was 0.78 (95% CI: 67–90), indicating a significant reduction in imaging use. These findings suggest that the YEARS is an effective and safe strategy for managing patients with suspected pulmonary embolism.
https://eprints.bournemouth.ac.uk/39454/
Source: Scopus
Diagnostic Test Accuracy of the YEARS Algorithm for Pulmonary Embolism: A systematic review and meta-analysis.
Authors: Te Haara, S.R., De Rezende, H. and Wang, C.
Journal: Sultan Qaboos Univ Med J
Volume: 24
Issue: 4
Pages: 491-500
eISSN: 2075-0528
DOI: 10.18295/squmj.1.2024.007
Abstract:This systematic review and meta-analysis aimed to assess the diagnostic accuracy of the YEARS algorithm in excluding pulmonary embolism, as well as to compare the utilisation of advanced imaging modalities between the YEARS approach and standard clinical practice. Eligible studies were identified from multiple databases spanning July 2017 to September 2022, following the Joanna Briggs Institute methodology for diagnostic accuracy reviews. A total of 10 studies, involving approximately 14,000 participants, were included in the analysis. The YEARS algorithm demonstrated a sensitivity of 96% (95% confidence interval [CI]: 93-98%) and a specificity of 50% (95% CI: 33-67%). Additonally, the risk ratio for advanced imaging utilisation was 0.78 (95% CI: 67-90), indicating a significant reduction in imaging use. These findings suggest that the YEARS is an effective and safe strategy for managing patients with suspected pulmonary embolism.
https://eprints.bournemouth.ac.uk/39454/
Source: PubMed
Diagnostic Test Accuracy of the YEARS Algorithm for Pulmonary Embolism: A systematic review and meta-analysis
Authors: De Rezende, H.
Journal: Sultan Qaboos University Medical Journal
Publisher: Sultan Qaboos University
ISSN: 2075-051X
DOI: 10.18295/squmj.1.2024.007
Abstract:This systematic review and meta-analysis aimed to evaluate both the diagnostic test accuracy of the YEARS algorithm in excluding pulmonary embolism and to compare the advance imaging utilisation rate of YEARS against standard practice. Published studies were selected across several databases from July 2017 to September 2022 using Joanna Briggs Institute methodology for systematic reviews of diagnostic accuracy. The analysis included ten studies with nearly 14,000 participants. YEARS showed a sensitivity of 96% (95% CI 93-98%) and specificity of 50% (95% CI 33-67%). The risk ratio for advanced imaging was 0.78 (95% CI 67-90), showing an overall reduction. YEARS is an effective means of safely managing patients with suspected pulmonary embolism.
https://eprints.bournemouth.ac.uk/39454/
Source: Manual
Diagnostic Test Accuracy of the YEARS Algorithm for Pulmonary Embolism: A systematic review and meta-analysis.
Authors: Te Haara, S.R., De Rezende, H. and Wang, C.
Journal: Sultan Qaboos University medical journal
Volume: 24
Issue: 4
Pages: 491-500
eISSN: 2075-0528
ISSN: 2075-051X
DOI: 10.18295/squmj.1.2024.007
Abstract:This systematic review and meta-analysis aimed to assess the diagnostic accuracy of the YEARS algorithm in excluding pulmonary embolism, as well as to compare the utilisation of advanced imaging modalities between the YEARS approach and standard clinical practice. Eligible studies were identified from multiple databases spanning July 2017 to September 2022, following the Joanna Briggs Institute methodology for diagnostic accuracy reviews. A total of 10 studies, involving approximately 14,000 participants, were included in the analysis. The YEARS algorithm demonstrated a sensitivity of 96% (95% confidence interval [CI]: 93-98%) and a specificity of 50% (95% CI: 33-67%). Additonally, the risk ratio for advanced imaging utilisation was 0.78 (95% CI: 67-90), indicating a significant reduction in imaging use. These findings suggest that the YEARS is an effective and safe strategy for managing patients with suspected pulmonary embolism.
https://eprints.bournemouth.ac.uk/39454/
Source: Europe PubMed Central
Diagnostic Test Accuracy of the YEARS Algorithm for Pulmonary Embolism: A systematic review and meta-analysis
Authors: Te Haara, S.R., De Rezende, H. and Wang, C.
Journal: Sultan Qaboos University Medical Journal
Volume: 24
Issue: 4
Pages: 491-500
Publisher: Sultan Qaboos University
ISSN: 2075-051X
Abstract:This systematic review and meta-analysis aimed to evaluate both the diagnostic test accuracy of the YEARS algorithm in excluding pulmonary embolism and to compare the advance imaging utilisation rate of YEARS against standard practice. Published studies were selected across several databases from July 2017 to September 2022 using Joanna Briggs Institute methodology for systematic reviews of diagnostic accuracy. The analysis included ten studies with nearly 14,000 participants. YEARS showed a sensitivity of 96% (95% CI 93-98%) and specificity of 50% (95% CI 33-67%). The risk ratio for advanced imaging was 0.78 (95% CI 67-90), showing an overall reduction. YEARS is an effective means of safely managing patients with suspected pulmonary embolism.
https://eprints.bournemouth.ac.uk/39454/
Source: BURO EPrints