Key result
The diagnosis of acute pulmonary embolism requires a cautious, evidence-based approach combining clinical probability assessment, D-dimer testing, and imaging studies like computed tomographic angiography.
Why the study?
Acute pulmonary embolism remains underdiagnosed due to nonspecific presentations and overlapping symptoms, while diagnostic testing overuse is also a recognized problem requiring an evidence-based approach.
Design
Review
Authors
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Supports stepwise diagnostic algorithms to reduce unnecessary imaging; leaves open optimal thresholds and implementation across diverse settings.
This review outlines an evidence-based approach to diagnosing acute pulmonary embolism, highlighting the use of clinical probability scores, D-dimer testing, and imaging to optimize diagnostic accuracy and minimize unnecessary testing.
Ishaaya et al. (2020) conducted a review in Acute pulmonary embolism. The diagnosis of acute pulmonary embolism requires a cautious, evidence-based approach combining clinical probability assessment, D-dimer testing, and imaging studies like computed tomographic angiography.
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