Publications by authors named "A Pandor"

Article Synopsis
  • D-dimer is the main biomarker recommended for diagnosing acute aortic syndrome (AAS), and this study aimed to explore other potential biomarkers.
  • The researchers conducted a systematic review of relevant studies, identifying a total of 13 cohort studies but noting variable quality and significant bias in most.
  • While some alternative biomarkers showed promise in sensitivity and specificity, overall findings were inconsistent, leading to the conclusion that these alternatives are not yet suitable for routine clinical use.
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Objectives: To evaluate the diagnostic accuracy of the aortic dissection detection risk score (ADD-RS) used alone or in combination with D-dimer for detecting acute aortic syndrome (AAS) in patients presenting with symptoms suggestive of AAS.

Methods: We searched MEDLINE, EMBASE, and the Cochrane Library from inception to February 2024. Additionally, the reference lists of included studies and other systematic reviews were thoroughly searched.

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Study Objective: Acute aortic syndrome is a life-threatening emergency condition. Previous systematic reviews of D-dimer diagnostic accuracy for acute aortic syndrome have been contradictory and based on limited data, but recently published studies offer potential for a more definitive overview. We aimed to perform a systematic review and meta-analysis to determine the diagnostic accuracy of D-dimer for diagnosing acute aortic syndrome.

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Objectives: To assess whether different cervical spine immobilisation strategies (full immobilisation, movement minimisation or no immobilisation), impact neurological and/or other outcomes for patients with suspected cervical spinal injury in the pre-hospital and emergency department setting.

Design: Systematic review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

Data Sources: MEDLINE, EMBASE, CINAHL, Cochrane Library and two research registers were searched until September 2023.

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Background: Pharmacological prophylaxis during hospital admission can reduce the risk of acquired blood clots (venous thromboembolism) but may cause complications, such as bleeding. Using a risk assessment model to predict the risk of blood clots could facilitate selection of patients for prophylaxis and optimise the balance of benefits, risks and costs.

Objectives: We aimed to identify validated risk assessment models and estimate their prognostic accuracy, evaluate the cost-effectiveness of different strategies for selecting hospitalised patients for prophylaxis, assess the feasibility of using efficient research methods and estimate key parameters for future research.

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