The DOI matches its Crossref record; 19 of the 20 references it cites were found in a registry or an index.
External Validation of the San Francisco Syncope Rule
Open accessAbstract
Study objective We externally validate the ability of the San Francisco Syncope Rule to accurately identify syncope patients who will experience a 7-day serious clinical event.Methods Patients who presented to a single academic emergency department (ED) between 8 am and 10 pm with syncope or near-syncope were prospectively enrolled. Treating physicians recorded the presence or absence of all San Francisco Syncope Rule risk factors. Patients were contacted by telephone at 14 days for a structured interview. A 3-physician panel, blinded to the San Francisco Syncope Rule score, reviewed ED medical records, hospital records, and telephone interview forms to identify predefined serious clinical events. The primary outcome was the ability of the San Francisco Syncope Rule to predict any 7-day serious clinical event. A secondary outcome was the ability of the San Francisco Syncope Rule to predict 7-day serious clinical events that were not identified during the initial ED evaluation.Results Of 592 eligible patients, 477 (81%) provided informed consent. Direct telephone contact or admission/outpatient records were successfully obtained for 463 (97%) patients. There were 56 (12%) patients who had a serious 7-day clinical event, including 16 (3%) who received a diagnosis after the initial ED evaluation. Sensitivity and specificity of the San Francisco Syncope Rule for the primary outcome were 89% (95% confidence interval [CI] 81% to 97%) and 42% (95% CI 37% to 48%), respectively, and 69% (95% CI 46% to 92%) and 42% (95% CI 37% to 48%), respectively, for the secondary outcome. Estimates of sensitivity were minimally affected by missing data and most optimistic assumptions for missing follow-up information.Conclusion In this external validation cohort, the San Francisco Syncope Rule had a lower sensitivity and specificity than in previous reports.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“None of these rules are used widely in EDs due to poor sensitivity and specificity reported from external validation, or due to a lack of external validation. 70,78-85”
From 2018 ESC Guidelines for the diagnosis and management of syncope (2018) · cites this paper as [83]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evaluation and outcome of emergency room patients with transient loss of consciousness
Day, S. C., Cook, E. F., Funkenstein, H., & Goldman, L. (1982) · The American Journal of Medicine · doi:10.1016/0002-9343(82)90913-5 · Cited by 587
Derivation of the San Francisco Syncope Rule to predict patients with short-term serious outcomes
Quinn, J. V., Stiell, I. G., McDermott, D. A., Sellers, K. L., Kohn, M. A., & Wells, G. A. (2004) · Annals of Emergency Medicine · doi:10.1016/s0196-0644(03)00823-0 · Cited by 432
Colivicchi, F. (2003) · European Heart Journal · doi:10.1016/s0195-668x(02)00827-8 · Cited by 359
Prospective validation of the San Francisco Syncope Rule to predict patients with serious outcomes
Quinn, J., McDermott, D., Stiell, I., Kohn, M., & Wells, G. (2006) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2005.11.019 · Cited by 309
Direct medical costs of syncope-related hospitalizations in the United States
Sun, B. C., Emond, J. A., & Camargo, C. A. (2005) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2004.11.013 · Cited by 305
Self-citationProspective evaluation and outcome of patients admitted for syncope over a 1 year period
Blanc, J. (2002) · European Heart Journal · doi:10.1053/euhj.2001.2975 · Cited by 303
Risk stratification of patients with syncope
Martin, T. P., Hanusa, B. H., & Kapoor, W. N. (1997) · Annals of Emergency Medicine · doi:10.1016/s0196-0644(97)70217-8 · Cited by 285
Prospective evaluation of patients with syncope: a population-based study
Sarasin, F., Louis‐Simonet, M., Carballo, D., Slama, S., Rajeswaran, A., Metzger, J., Lovis, C., Unger, P.-F., & Junod, A.-F. (2001) · The American Journal of Medicine · doi:10.1016/s0002-9343(01)00797-5 · Cited by 280
Kapoor, W. N. (1982) · JAMA · doi:10.1001/jama.247.19.2687 · Cited by 230
Syncope in an Elderly, Institutionalised Population: Prevalence, Incidence, and Associated Risk
LIPSITZ, L. A., WEI, J. Y., & ROWE, J. W. (1985) · QJM: An International Journal of Medicine · doi:10.1093/oxfordjournals.qjmed.a067852 · Cited by 218
Ammirati, F. (2000) · European Heart Journal · doi:10.1053/euhj.1999.1910 · Cited by 205
Kapoor, W. N., Snustad, D. G., Peterson, J. R., Wieand, H. S., Cha, R., & Karpf, M. (1986) · The American Journal of Medicine · doi:10.1016/0002-9343(86)90716-3 · Cited by 202
Sun, B. C., Emond, J. A., & Camargo, C. A. (2004) · Academic Emergency Medicine · doi:10.1197/j.aem.2004.05.032 · Cited by 193
Self-citationA risk score to predict arrhythmias in patients with unexplained syncope
Sarasin, F. P., Hanusa, B. H., Perneger, T., Louis‐Simonet, M., Rajeswaran, A., & Kapoor, W. N. (2003) · Academic Emergency Medicine · doi:10.1197/s1069-6563(03)00535-9 · Cited by 118
Management of syncope referred urgently to general hospitals with and without syncope units
Brignole, M. (2003) · Europace · doi:10.1016/s1099-5129(03)00047-3 · Cited by 118
Kenny, R. A. (2003) · Journal of Cardiovascular Electrophysiology · doi:10.1046/j.1540-8167.14.s9.8.x · Cited by 88
Epidemiology of syncope in hospitalized patients
Getchell, W. S., Larsen, G. C., Morris, C. D., & McAnulty, J. H. (1999) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.1999.03199.x · Cited by 77
Vasovagal Syncope in Emergency Room Patients: Analysis of a Metropolitan Area Registry
Casini–Raggi, V., Bandinelli, G., & Lagi, A. (2002) · Neuroepidemiology · doi:10.1159/000065525 · Cited by 28
Cost-effectiveness of in-hospital evaluation of patients with syncope.
Mozes, B., Confino‐Cohen, R., & Halkin, H. (1988) · PubMed · Cited by 28
Flagged first, then by citations
1 of the 20 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
2018 ESC Guidelines for the diagnosis and management of syncope
Brignole, M., Moya, A., de Lange, F. J., Deharo, J.-C., Elliott, P. M., Fanciulli, A., Fedorowski, A., Furlan, R., Kenny, R. A., Martín, A., et al. (2018) · European Heart Journal · doi:10.1093/eurheartj/ehy037 · Cited by 1,951
2018 ESC Guidelines for the diagnosis and management of syncope
Brignole, M., Moya‐Mitjans, À., de Lange, F. J., Deharo, J., Elliot, P. M., Fanciulli, A., Fedorowski, A., Furlan, R., Kenny, R. A., Martiın, A., et al. (2018) · Kardiologia Polska · doi:10.5603/kp.2018.0161 · Cited by 475
Del Rosso, A., Ungar, A., Maggi, R., Giada, F., Petix, N. R., De Santo, T., Menozzi, C., & Brignole, M. (2008) · Heart · doi:10.1136/hrt.2008.143123 · Cited by 344
The ROSE (Risk Stratification of Syncope in the Emergency Department) Study
Reed, M. J., Newby, D. E., Coull, A. J., Prescott, R. J., Jacques, K. G., & Gray, A. J. (2010) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.09.049 · Cited by 272
Failure to validate the San Francisco Syncope Rule in an independent emergency department population
Birnbaum, A., Esses, D., Bijur, P., Wollowitz, A., & Gallagher, E. J. (2008) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2007.12.007 · Cited by 148
Metadata
- Authors
- Sun, B. C., Mangione, C. M., Merchant, G., Weiss, T., Shlamovitz, G. Z., Zargaraff, G., Shiraga, S., Hoffman, J. R., & Mower, W. R.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Sun, Benjamin C.
- Venue
- Annals of Emergency Medicine
- Publisher
- Elsevier BV
- Published
- 2007-04
- Volume
- 49
- Issue
- 4
- Pages
- 420-427.e4
- ISSN
- 0196-0644 (ISSN-L)
- OpenAlex
- W2163991175
- Cited by
- 128
- References
- 20
- Citations by year
- 2025: 2 · 2024: 2 · 2023: 4 · 2022: 3 · 2021: 2 · 2020: 4 · 2019: 4 · 2018: 9 · 2017: 4 · 2016: 10 · 2015: 7 · 2014: 9 · 2013: 11 · 2012: 9
- FWCI
- 12.61
- Type
- journal article
- Language
- en
- Open access
- green
- escholarship.org
- Locations
- Annals of Emergency Medicine (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- U.S. Department of Veterans Affairs
- National Institutes of Health
- National Institute on Aging (AG-02-004, K12AG001004)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Syncope and Autonomic Disorders
- Health Sciences › Medicine › Emergency Medicine › Emergency and Acute Care Studies
- Health Sciences › Medicine › Family Practice › Clinical Reasoning and Diagnostic Skills
- Keywords
- San Francisco Syncope Rule, syncope, presyncope, risk prediction, external validation, sensitivity and specificity, emergency department, telephone follow-up
- MeSH terms
- Adult, Aged, Aged, 80 and over, Clinical Protocols, Emergency Medicine, Emergency Service, Hospital, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Risk Factors, San Francisco, Sensitivity and Specificity, Syncope, Outcome Assessment, Health Care, Risk Assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review