Literature DB >> 21948723

San Francisco Syncope Rule to predict short-term serious outcomes: a systematic review.

Ramon T Saccilotto1, Christian H Nickel, Heiner C Bucher, Ewout W Steyerberg, Roland Bingisser, Michael T Koller.   

Abstract

BACKGROUND: The San Francisco Syncope Rule has been proposed as a clinical decision rule for risk stratification of patients presenting to the emergency department with syncope. It has been validated across various populations and settings. We undertook a systematic review of its accuracy in predicting short-term serious outcomes.
METHODS: We identified studies by means of systematic searches in seven electronic databases from inception to January 2011. We extracted study data in duplicate and used a bivariate random-effects model to assess the predictive accuracy and test characteristics.
RESULTS: We included 12 studies with a total of 5316 patients, of whom 596 (11%) experienced a serious outcome. The prevalence of serious outcomes across the studies varied between 5% and 26%. The pooled estimate of sensitivity of the San Francisco Syncope Rule was 0.87 (95% confidence interval [CI] 0.79-0.93), and the pooled estimate of specificity was 0.52 (95% CI 0.43-0.62). There was substantial between-study heterogeneity (resulting in a 95% prediction interval for sensitivity of 0.55-0.98). The probability of a serious outcome given a negative score with the San Francisco Syncope Rule was 5% or lower, and the probability was 2% or lower when the rule was applied only to patients for whom no cause of syncope was identified after initial evaluation in the emergency department. The most common cause of false-negative classification for a serious outcome was cardiac arrhythmia.
INTERPRETATION: The San Francisco Syncope Rule should be applied only for patients in whom no cause of syncope is evident after initial evaluation in the emergency department. Consideration of all available electrocardiograms, as well as arrhythmia monitoring, should be included in application of the San Francisco Syncope Rule. Between-study heterogeneity was likely due to inconsistent classification of arrhythmia.

Entities:  

Mesh:

Year:  2011        PMID: 21948723      PMCID: PMC3193123          DOI: 10.1503/cmaj.101326

Source DB:  PubMed          Journal:  CMAJ        ISSN: 0820-3946            Impact factor:   8.262


  43 in total

Review 1.  Methodologic standards for the development of clinical decision rules in emergency medicine.

Authors:  I G Stiell; G A Wells
Journal:  Ann Emerg Med       Date:  1999-04       Impact factor: 5.721

2.  Derivation of the San Francisco Syncope Rule to predict patients with short-term serious outcomes.

Authors:  James V Quinn; Ian G Stiell; Daniel A McDermott; Karen L Sellers; Michael A Kohn; George A Wells
Journal:  Ann Emerg Med       Date:  2004-02       Impact factor: 5.721

3.  Risk stratification of patients with syncope.

Authors:  James Quinn
Journal:  CJEM       Date:  2007-05       Impact factor: 2.410

4.  Response to "failure to validate the San Francisco Syncope Rule in an independent emergency department population".

Authors:  Daniel McDermott; Jim Quinn
Journal:  Ann Emerg Med       Date:  2009-05       Impact factor: 5.721

5.  The San Francisco Syncope Rule vs physician judgment and decision making.

Authors:  James V Quinn; Ian G Stiell; Daniel A McDermott; Michael A Kohn; George A Wells
Journal:  Am J Emerg Med       Date:  2005-10       Impact factor: 2.469

6.  A new management of syncope: prospective systematic guideline-based evaluation of patients referred urgently to general hospitals.

Authors:  Michele Brignole; Carlo Menozzi; Angelo Bartoletti; Franco Giada; Alfonso Lagi; Andrea Ungar; Irene Ponassi; Chiara Mussi; Roberto Maggi; Giuseppe Re; Raffaello Furlan; Gianni Rovelli; Patrizia Ponzi; Alessandro Scivales
Journal:  Eur Heart J       Date:  2005-11-04       Impact factor: 29.983

7.  Syncope as an emergency department presentation of pulmonary embolism.

Authors:  T R Wolfe; T L Allen
Journal:  J Emerg Med       Date:  1998 Jan-Feb       Impact factor: 1.484

8.  Regularization Paths for Generalized Linear Models via Coordinate Descent.

Authors:  Jerome Friedman; Trevor Hastie; Rob Tibshirani
Journal:  J Stat Softw       Date:  2010       Impact factor: 6.440

9.  Failure to validate the San Francisco Syncope Rule in an independent emergency department population.

Authors:  Adrienne Birnbaum; David Esses; Polly Bijur; Andrew Wollowitz; E John Gallagher
Journal:  Ann Emerg Med       Date:  2008-02-20       Impact factor: 5.721

Review 10.  Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration.

Authors:  Jan P Vandenbroucke; Erik von Elm; Douglas G Altman; Peter C Gøtzsche; Cynthia D Mulrow; Stuart J Pocock; Charles Poole; James J Schlesselman; Matthias Egger
Journal:  PLoS Med       Date:  2007-10-16       Impact factor: 11.069

View more
  9 in total

1.  Current issues with prediction rules for syncope.

Authors:  Steve W Parry
Journal:  CMAJ       Date:  2011-09-26       Impact factor: 8.262

2.  Syncope: the emergency department and beyond.

Authors:  Catriona Williamson; Matthew James Reed
Journal:  Intern Emerg Med       Date:  2015-09-07       Impact factor: 3.397

Review 3.  [Syncope--algorithms for emergency medicine].

Authors:  F Sayk; M J Berndt
Journal:  Med Klin Intensivmed Notfmed       Date:  2013-02-01       Impact factor: 0.840

4.  Diagnostic accuracy of ICD-9 code 780.2 for the identification of patients with syncope in the emergency department.

Authors:  Ludovico Furlan; Monica Solbiati; Veronica Pacetti; Franca Dipaola; Martino Meda; Mattia Bonzi; Elisa Fiorelli; Giulia Cernuschi; Daniele Alberio; Giovanni Casazza; Nicola Montano; Raffaello Furlan; Giorgio Costantino
Journal:  Clin Auton Res       Date:  2018-02-12       Impact factor: 4.435

5.  Prevalence of Pulmonary Embolism in Patients With Syncope.

Authors:  Giorgio Costantino; Martin H Ruwald; James Quinn; Carlos A Camargo; Frederik Dalgaard; Gunnar Gislason; Tadahiro Goto; Kohei Hasegawa; Padma Kaul; Nicola Montano; Anna-Karin Numé; Antonio Russo; Robert Sheldon; Monica Solbiati; Benjamin Sun; Giovanni Casazza
Journal:  JAMA Intern Med       Date:  2018-03-01       Impact factor: 21.873

Review 6.  Outcomes in syncope research: a systematic review and critical appraisal.

Authors:  Monica Solbiati; Viviana Bozzano; Franca Barbic; Giovanni Casazza; Franca Dipaola; James V Quinn; Matthew J Reed; Robert S Sheldon; Win-Kuang Shen; Benjamin C Sun; Venkatesh Thiruganasambandamoorthy; Raffaello Furlan; Giorgio Costantino
Journal:  Intern Emerg Med       Date:  2018-01-18       Impact factor: 3.397

7.  Association of corrected QT interval with long-term mortality in patients with syncope.

Authors:  Nivas Balasubramaniyam; Chandrasekar Palaniswamy; Wilbert S Aronow; Sahil Khera; Gokulakrishnan Balasubramanian; Prakash Harikrishnan; Jay V Doshi; Christopher Nabors; Stephen J Peterson; Sachin Sule
Journal:  Arch Med Sci       Date:  2013-12-05       Impact factor: 3.318

8.  Comparison of different risk stratification systems in predicting short-term serious outcome of syncope patients.

Authors:  Saeed Safari; Alireza Baratloo; Behrooz Hashemi; Farhad Rahmati; Mohammad Mehdi Forouzanfar; Maryam Motamedi; Ladan Mirmohseni
Journal:  J Res Med Sci       Date:  2016-08-01       Impact factor: 1.852

9.  Identifying cardiac syncope based on clinical history: a literature-based model tested in four independent datasets.

Authors:  Janneke Berecki-Gisolf; Aaron Sheldon; Wouter Wieling; Nynke van Dijk; Giorgio Costantino; Raffaello Furlan; Win-Kuang Shen; Robert Sheldon
Journal:  PLoS One       Date:  2013-09-24       Impact factor: 3.240

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.