S
Steve Goodacre
Researcher at University of Sheffield
Publications - 316
Citations - 9914
Steve Goodacre is an academic researcher from University of Sheffield. The author has contributed to research in topics: Emergency department & Chest pain. The author has an hindex of 48, co-authored 287 publications receiving 8543 citations. Previous affiliations of Steve Goodacre include National Health Service & Denver Health Medical Center.
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Comparison of qSOFA and Hospital Early Warning Scores for prognosis in suspected sepsis in emergency department patients: a systematic review.
TL;DR: This review compares two tools qSOFA and EWS for predicting intensive care (ICU) admission and mortality when applied to suspected sepsis patients in the emergency department (ED) and finds the NEWS AUROC was consistently higher thanqSOFA within individual papers.
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Implementation of rapid rule out of myocardial infarction using high-sensitivity troponin: cross-sectional survey of English hospitals
TL;DR: English acute hospital Trusts report widespread implementation of high-sensitivity troponin for rapid rule out of myocardial infarction, with most recommending testing at 0 and 3 hours.
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The ACUTE (Ambulance CPAP: Use, Treatment effect and economics) feasibility study: a pilot randomised controlled trial of prehospital CPAP for acute respiratory failure
Gordon Fuller,Steve Goodacre,Samuel Keating,Gavin D. Perkins,Matthew Ward,Andy Rosser,Imogen Gunson,Joshua Miller,Mike Bradburn,Praveen Thokala,Tim Harris,Andrew Carson,Maggie Marsh,Cindy Cooper +13 more
TL;DR: This study will determine if it is feasible, acceptable and cost-effective to undertake a full-scale trial comparing CPAP and standard oxygen treatment, delivered by ambulance service clinicians for ARF.
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The problem of pulmonary embolism diagnosis in pregnancy
Steve Goodacre,Beverley J. Hunt +1 more
TL;DR: A genome-scale in vivo loss-of-function screen identifies Phf6 as a lineage-specific regulator of leukemia cell growth in children with acute myeloid leukemia.
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The Recognition of STEMI by Paramedics and the Effect of Computer inTerpretation (RESPECT): a randomised crossover feasibility study
TL;DR: Pilot data suggest that computer messages influence paramedic interpretation, improving accuracy when correct and worsening accuracy when incorrect, and determining the effect of computer interpretation messages using a web-based assessment tool is feasible, but the design needs to take clustered data into account.