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Comparative Diagnostic Accuracy of Pre-Test Clinical Probability Scores for the Risk Stratification of Patients With Suspected Pulmonary Embolism: A Systematic Review and Bayesian Network Meta-Analysis Publisher Pubmed



Etemadi A1 ; Hosseini M1 ; Rafiee H1 ; Mahboubi A1 ; Mahmoodi T1 ; Kuno T2 ; Jenab Y1 ; Raphael CE3 ; Aronow WS4 ; Hosseini K1 ; Giri J5
Authors
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Authors Affiliations
  1. 1. Tehran Heart Center, Cardiovascular Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
  3. 3. Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, MN, United States
  4. 4. Department of Cardiology, Westchester Medical Center, New York Medical College, Valhalla, NY, United States
  5. 5. Perelman School of Medicine, Cardiovascular Medicine Division, University of Pennsylvania, Philadelphia, PA, United States

Source: BMC Pulmonary Medicine Published:2025


Abstract

Background: The primary evaluation of pulmonary embolism (PE) is complicated by the presence of various pre-test clinical probability scores (pCPS) with different cut-offs, all equally recommended by guidelines. This lack of consensus has led to practice variability, unnecessary imaging, and worse patient outcomes. We aim to provide more definitive insights through a holistic comparison of available pCPS. Methods: PubMed, Embase and Web of Science, and Google Scholar were searched for studies evaluating pCPS in patients clinically suspected of PE until June 2023. Risk of bias was evaluated using QUADAS-2. Included pCPS were evaluated based on their diagnostic accuracy in: (1) Ruling-out PE (2) Utilization of imaging, and (3) Differentiating between patients needing d-dimer from imaging. Diagnostic test accuracy indices were synthesized using beta-binomial Bayesian methods. Results: Forty studies (37,027 patients) were included in the meta-analysis. Three-tier revised Geneva (RG) and three-tier Wells performed similarly in ruling-out PE (negative likelihood ratio (LR-) [95% credible interval (CI)]: 0·39[0·27–0·58] vs 0·34[0·25–0·45]). However, RG performed better in utilization of imaging (LR + : 6·65[3·75–10·56] vs 5·59[3·7–8·37], p < 0.001) and differentiating between patients needing d-dimer vs imaging (diagnostic odds ratio (DOR): 8·03[4·35–14·1] vs. 7·4[4·65–11·84], p < 0.001). The two-tier Wells score underperformed in all aspects (LR-: 0·56[0·45–0·68], LR + : 2·43[1·81–3·07], DOR: 4·41[2·81–6·43]). PERC demonstrated a reliable point estimate for ruling out PE, albeit with a wide CI (LR-: 0·36[0·17–0·78]). Conclusions: RG outperforms other pCPS for primary evaluation of suspected PE. While the difference is not large, RG's independence from subjective items supports its recommendation over three-tier Wells. Two-tier Wells underperforms significantly compared to the rest of pCPS. PERC shows considerable promise for minimizing unnecessary D-dimer testing in crowded emergency departments; however, more evidence is needed before its definitive recommendation. Protocol registration: PROSPERO (CRD42023464118). © The Author(s) 2025.