Scientific article
Meta-analysis
OA Policy
English

Ruling out pulmonary embolism across different subgroups of patients and healthcare settings: protocol for a systematic review and individual patient data meta-analysis (IPDMA)

Published inDiagnostic and Prognostic Research, vol. 2, 10
Publication date2018
Abstract

Diagnosing pulmonary embolism in suspected patients is notoriously difficult as signs and symptoms are non-specific. Different diagnostic strategies have been developed, usually combining clinical probability assessment with D-dimer testing. However, their predictive performance differs across different healthcare settings, patient subgroups, and clinical presentation, which are currently not accounted for in the available diagnostic approaches.

Keywords
  • Clinical prediction model
  • D-dimer
  • Individual patient data meta-analysis
  • Pulmonary embolism
Citation (ISO format)
GEERSING, G-J et al. Ruling out pulmonary embolism across different subgroups of patients and healthcare settings: protocol for a systematic review and individual patient data meta-analysis (IPDMA). In: Diagnostic and Prognostic Research, 2018, vol. 2, p. 10. doi: 10.1186/s41512-018-0032-7
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Article (Published version)
Identifiers
Journal ISSN2397-7523
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356downloads

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Creation30/08/2019 11:44:00
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Update27/01/2025 15:19:16
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