CrossRef Text and Data Mining
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Effects of cholesterol levels on outcomes of out-of-hospital cardiac arrest: a cross-sectional study
Jong Hwan Kim, Dae Han Wi, Jun Hee Lee, Hyung Jun Song, Sang Do Shin, Young Sun Ro, Kwang-Ho Bae
Clin Exp Emerg Med. 2019;6(3):242-249.   Published online 2019 September 30    DOI: https://doi.org/10.15441/ceem.18.057

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Effects of cholesterol levels on outcomes of out-of-hospital cardiac arrest: a cross-sectional study
Clinical and Experimental Emergency Medicine. 2019;6(3):242-249   Crossref logo
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Comparison of in-hospital and out-of-hospital cardiac arrest outcomes in a Scandinavian community
Acta Anaesthesiologica Scandinavica. 2014;58(3):316-322   Crossref logo
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Use of serum lactate levels to predict survival for patients with out-of-hospital cardiac arrest: A cohort study
Emergency Medicine Australasia. 2016;28(2):171-178   Crossref logo
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Outcomes of out-of-hospital cardiac arrest patients with different hospital levels
Resuscitation. 2015;96:139   Crossref logo
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Incidence and outcomes of out-of-hospital cardiac arrest: A New Zealand perspective
Emergency Medicine Australasia. 2018;30(5):662-671   Crossref logo
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Comparison of clinical outcomes between in-hospital cardiac arrest and out-of-hospital cardiac arrest according to location of residence and volume of hospital: a nation-wide database study
Resuscitation. 2019;142:e81   Crossref logo
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Epidemiology and Outcomes of Poisoning-induced Out-of-hospital Cardiac Arrest
Wilderness & Environmental Medicine. 2011;22(4):363   Crossref logo
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Comment on ‘Epidemiology and outcomes of poisoning-induced out-of-hospital cardiac arrest’
Resuscitation. 2012;83(5):e117   Crossref logo
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Importance of effective ventilation during cardiopulmonary resuscitation on outcomes of out-of-hospital cardiac arrest
Resuscitation. 2019;143:234-235   Crossref logo
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Improving outcomes after out-of-hospital cardiac arrest
Nature Reviews Cardiology. 2015;12(8):441-441   Crossref logo
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This metadata service is kindly provided by CrossRef from May 29, 2014. Clin Exp Emerg Med has participated in CrossRef Text and Data Mining service since October 29, 2014.