Literature DB >> 29696770

Likelihood Ratios for the Emergency Physician.

Paul Peng1, Andrew Coyle2.   

Abstract

The concept of likelihood ratios was introduced more than 40 years ago, yet this powerful metric has still not seen wider application or discussion in the medical decision-making process. There is concern that clinicians-in-training are still being taught an oversimplified approach to diagnostic test performance and have limited exposure to likelihood ratios. Even for those familiar with likelihood ratios, they might perceive them as mathematically cumbersome in application, if not difficult to determine for a particular disease process. This article takes a conceptual approach to likelihood ratios and applies them to two clinical settings: 1) severe intracranial injury after minor head trauma and 2) suspected pulmonary embolism with shortness of breath. Likelihood ratios are the most appropriate metric for efficient rational clinical examination and can prevent unnecessary and wasteful treatments and procedures.
© 2018 by the Society for Academic Emergency Medicine.

Entities:  

Year:  2018        PMID: 29696770     DOI: 10.1111/acem.13439

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  5 in total

1.  Validation of the BATT score for prehospital risk stratification of traumatic haemorrhagic death: usefulness for tranexamic acid treatment criteria.

Authors:  Francois-Xavier Ageron; Timothy J Coats; Vincent Darioli; Ian Roberts
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2021-01-06       Impact factor: 2.953

2.  Early identification of bleeding in trauma patients: external validation of traumatic bleeding scores in the Swiss Trauma Registry.

Authors:  Alan Costa; Pierre-Nicolas Carron; Tobias Zingg; Ian Roberts; François-Xavier Ageron
Journal:  Crit Care       Date:  2022-09-28       Impact factor: 19.334

3.  Mechanism of injury and special considerations as predictive of serious injury: A systematic review.

Authors:  Joshua R Lupton; Cynthia Davis-O'Reilly; Rebecca M Jungbauer; Craig D Newgard; Mary E Fallat; Joshua B Brown; N Clay Mann; Gregory J Jurkovich; Eileen Bulger; Mark L Gestring; E Brooke Lerner; Roger Chou; Annette M Totten
Journal:  Acad Emerg Med       Date:  2022-04-22       Impact factor: 5.221

4.  Development and validation of the OUTCoV score to predict the risk of hospitalisation among patients with SARS-CoV-2 infection in ambulatory settings: a prospective cohort study.

Authors:  Frederique Jacquerioz; Stéphanie Baggio; Angele Gayet-Ageron; François Chappuis; Laurent Getaz; Idris Guessous; Laurent Kaiser; Nathalie Vernaz; Sabine Yerly; Julien Salamun; Herve Spechbach
Journal:  BMJ Open       Date:  2021-06-18       Impact factor: 2.692

5.  Clinical prediction rule for SARS-CoV-2 infection from 116 U.S. emergency departments 2-22-2021.

Authors:  Jeffrey A Kline; Carlos A Camargo; D Mark Courtney; Christopher Kabrhel; Kristen E Nordenholz; Thomas Aufderheide; Joshua J Baugh; David G Beiser; Christopher L Bennett; Joseph Bledsoe; Edward Castillo; Makini Chisolm-Straker; Elizabeth M Goldberg; Hans House; Stacey House; Timothy Jang; Stephen C Lim; Troy E Madsen; Danielle M McCarthy; Andrew Meltzer; Stephen Moore; Craig Newgard; Justine Pagenhardt; Katherine L Pettit; Michael S Pulia; Michael A Puskarich; Lauren T Southerland; Scott Sparks; Danielle Turner-Lawrence; Marie Vrablik; Alfred Wang; Anthony J Weekes; Lauren Westafer; John Wilburn
Journal:  PLoS One       Date:  2021-03-10       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.