1. Pitts, SR, Niska, RW, Xu, J, et al. US Dept of Health and Human Services National hospital ambulatory medical care survey: 2006 emergency department summary. National Health Statistics Reports, http://www.cdc.gov/nchs/data/nhsr/nhsr007.pdf. http://www.cdc.gov/nchs/data/nhsr/nhsr007.pdf (2008, accessed 10 October 2019).
Google Scholar2. Kontos, MC, Diercks, DB, Kirk, JD. Emergency department and office-based evaluation of patients with chest pain. Mayo Clin Proc 2010; 85: 284–299.
Google Scholar | Crossref | Medline | ISI3. Twerenbold, R, Boeddinghaus, J, Nestelberger, T, et al. Clinical use of high-sensitivity cardiac troponin in patients with suspected myocardial infarction. J Am Coll Cardiol 2017; 70: 996–1012.
Google Scholar | Crossref | Medline4. Roffi, M, Patrono, C, Collet, JP, et al. 2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation: Task Force for the Management of Acute Coronary Syndromes in Patients Presenting without Persistent ST-Segment Elevation of the European Society of Cardiology (ESC). Eur Heart J 2016; 37: 267–315.
Google Scholar | Crossref | Medline | ISI5. Thygesen, K, Mair, J, Giannitsis, E, et al. How to use high-sensitivity cardiac troponins in acute cardiac care. Eur Heart J 2012; 33: 2252–2257.
Google Scholar | Crossref | Medline | ISI6. Mueller, C . Biomarkers and acute coronary syndromes: An update. Eur Heart J 2014; 35: 552–556.
Google Scholar | Crossref | Medline | ISI7. Reichlin, T, Schindler, C, Drexler, B, et al. One-hour rule-out and rule-in of acute myocardial infarction using high-sensitivity cardiac troponin T. Arch Intern Med 2012; 172: 1211–1218.
Google Scholar | Crossref | Medline8. Twerenbold, R, Boeddinghaus, J, Mueller, C. Update on high-sensitivity cardiac troponin in patients with suspected myocardial infarction. Eur Heart J 2018; 20: 2–10.
Google Scholar | Crossref9. Moher, D, Liberati, A, Tetzlaff, J, et al. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. J Clin Epidemiol 2009; 62: 1006–1012.
Google Scholar | Crossref | Medline | ISI10. Reitsma, JB, Rutjes, AWS, Whiting, P, et al. Assessing methodological quality. In: Deeks, JJ, Bossuyt, PM, Gatsonis, C (eds) Cochrane handbook for systematic reviews of diagnostic test accuracy Version 1.0.0. London: Cochrane Collaboration, 2009, chapter 9.
Google Scholar11. Van Enst, WA, Ochodo, E, Scholten, RJPM. Investigation of publication bias in meta-analyses of diagnostic test accuracy: A meta-epidemiological study. BMC Med Res Methodol 2014; 14: 70–70.
Google Scholar | Crossref | Medline | ISI12. Reitsma, JB, Glas, AS, Rutjes, AW, et al. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol 2005; 58: 982–990.
Google Scholar | Crossref | Medline | ISI13. Higgins, JPT, Thompson, SG, Deeks, JJ, et al. Measuring inconsistency in meta-analyses. BMJ 2003; 327: 557–560.
Google Scholar | Crossref | Medline14. Freeman, SC, Kerby, CR, Patel, A, et al. Development of an interactive web-based tool to conduct and interrogate meta-analysis of diagnostic test accuracy studies: MetaDTA. BMC Med Res Methodol 2019; 19: 81.
Google Scholar | Crossref | Medline15. Ouzzani, M, Hammady, H, Fedorowicz, Z, et al. Rayyan – a web and mobile app for systematic reviews. Syst Rev 2016; 5: 210.
Google Scholar | Crossref | Medline16. Mokhtari, A, Borna, C, Gilje, P, et al. A 1-h combination algorithm allows fast rule-out and rule-in of major adverse cardiac events. J Am Coll Cardiol 2016; 67: 1531–1540.
Google Scholar | Crossref | Medline17. Chew, DP, Lambrakis, K, Blyth, A, et al. A randomized trial of a 1-hour troponin t protocol in suspected acute coronary syndromes: The rapid assessment of possible acute coronary syndrome in the emergency department with high-sensitivity troponin T study (RAPID-TnT). Circulation 2019; 140: 1543–1556.
Google Scholar | Crossref | Medline18. Pickering, JW, Greenslade, JH, Cullen, L, et al. Assessment of the European Society of Cardiology 0-hour/1-hour algorithm to rule-out and rule-in acute myocardial infarction. Circulation 2016; 134: 1532–1541.
Google Scholar | Crossref | Medline19. Amann, M, Gaiser, F, Schwenk, SI, et al. Evaluation of a 1-hour troponin algorithm for diagnosing myocardial infarction in high-risk patients admitted to a chest pain unit: The prospective FAST-MI cohort study. BMJ Open 2019; 9: e032124.
Google Scholar | Crossref | Medline20. Mueller, C, Giannitsis, E, Christ, M, et al. Multicenter evaluation of a 0-hour/1-hour algorithm in the diagnosis of myocardial infarction with high-sensitivity cardiac troponin T. Ann Emerg Med 2016; 68: 76–87.e4.
Google Scholar | Crossref | Medline21. Jaeger, C, Wildi, K, Twerenbold, R, et al. One-hour rule-in and rule-out of acute myocardial infarction using high-sensitivity cardiac troponin I. Am Heart J 2016; 171: 92–102.e1–5.
Google Scholar | Crossref | Medline | ISI22. Rubini Gimenez, M, Twerenbold, R, Jaeger, C, et al. One-hour rule-in and rule-out of acute myocardial infarction using high-sensitivity cardiac troponin I. Am J Med 2015; 128: 861–870.e4.
Google Scholar | Crossref | Medline | ISI23. Twerenbold, R, Costabel, JP, Nestelberger, T, et al. Outcome of applying the ESC 0/1-hour algorithm in patients with suspected myocardial infarction. J Am Coll Cardiol 2019; 74: 483–494.
Google Scholar | Crossref | Medline24. Reichlin, T, Twerenbold, R, Wildi, K, et al. Prospective validation of a 1-hour algorithm to rule-out and rule-in acute myocardial infarction using a high-sensitivity cardiac troponin T assay. CMAJ 2015; 187: E243–E252.
Google Scholar | Crossref | Medline | ISI25. Twerenbold, R, Neumann, JT, Sörensen, NA, et al. Prospective validation of the 0/1-h algorithm for early diagnosis of myocardial infarction. J Am Coll Cardiol 2018; 72: 620–632.
Google Scholar | Crossref | Medline26. Shiozaki, M, Inoue, K, Suwa, S, et al. Utility of the 0-hour/1-hour high-sensitivity cardiac troponin T algorithm in Asian patients with suspected non-ST elevation myocardial infarction. Int J Cardiol 2017; 249: 32–35.
Google Scholar | Crossref | Medline27. Gravel, G, Miclette, A, Beaumont-Boileau, R, et al. Outcome of applying the European Society of Cardiology (ESC) 0/1-hour algorithm in patients with suspected myocardial infarction. CJEM 2020; 22: 299–300.
Google Scholar | Crossref | Medline28. Kline, JA, Johnson, CL, Pollack, CV, et al. Pretest probability assessment derived from attribute matching. BMC Med Inform Decis Mak 2005; 5: 26
Google Scholar | Crossref | Medline29. Than, M, Herbert, M, Flaws, D, et al. What is an acceptable risk of major adverse cardiac event in chest pain patients soon after discharge from the emergency department?: A clinical survey. Int J Cardiol 2013; 166: 752–754.
Google Scholar | Crossref | Medline | ISI30. Arslan, M, Dedic, A, Boersma, E, et al. Serial high-sensitivity cardiac troponin T measurements to rule out acute myocardial infarction and a single high baseline measurement for swift rule-in: A systematic review and meta-analysis. Eur Heart J Acute Cardiovasc Care 2020; 9: 14–22.
Google Scholar | SAGE Journals | ISI31. Pickering, JW, Than, MP, Cullen, L, et al. Rapid rule-out of acute myocardial infarction with a single high-sensitivity cardiac troponin T measurement below the limit of detection: A collaborative meta-analysis. Ann Intern Med 2017; 166: 715–724.
Google Scholar | Crossref | Medline