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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Prognostication after cardiac arrest
Claudio Sandroni, Sonia D’Arrigo, Jerry P. Nolan
Critical Care (2018) Vol. 22, Iss. 1
Open Access | Times Cited: 247

Showing 1-25 of 247 citing articles:

In-Hospital Cardiac Arrest
Lars W. Andersen, Mathias J. Holmberg, Katherine M. Berg, et al.
JAMA (2019) Vol. 321, Iss. 12, pp. 1200-1200
Open Access | Times Cited: 740
European Resuscitation Council and European Society of Intensive Care Medicine guidelines 2021: post-resuscitation care
Jerry P. Nolan, Claudio Sandroni, Bernd W. Böttiger, et al.
Intensive Care Medicine (2021) Vol. 47, Iss. 4, pp. 369-421
Open Access | Times Cited: 737
European Resuscitation Council and European Society of Intensive Care Medicine Guidelines 2021: Post-resuscitation care
Jerry P. Nolan, Claudio Sandroni, Bernd W. Böttiger, et al.
Resuscitation (2021) Vol. 161, pp. 220-269
Open Access | Times Cited: 523
Neurological prognostication of outcome in patients in coma after cardiac arrest
Andrea O. Rossetti, Alejandro A. Rabinstein, Mauro Oddo
The Lancet Neurology (2016) Vol. 15, Iss. 6, pp. 597-609
Open Access | Times Cited: 277
Targeting two different levels of both arterial carbon dioxide and arterial oxygen after cardiac arrest and resuscitation: a randomised pilot trial
Pekka Jakkula, Matti Reinikainen, Johanna Hästbacka, et al.
Intensive Care Medicine (2018) Vol. 44, Iss. 12, pp. 2112-2121
Open Access | Times Cited: 167
Reasons for death in patients successfully resuscitated from out-of-hospital and in-hospital cardiac arrest
Lise Witten, Ryan Gardner, Mathias J. Holmberg, et al.
Resuscitation (2019) Vol. 136, pp. 93-99
Open Access | Times Cited: 157
Electroencephalography Predicts Poor and Good Outcomes After Cardiac Arrest: A Two-Center Study*
Andrea O. Rossetti, Diego F. Tovar Quiroga, Elsa Juan, et al.
Critical Care Medicine (2017) Vol. 45, Iss. 7, pp. e674-e682
Open Access | Times Cited: 134
Continuous vs Routine Electroencephalogram in Critically Ill Adults With Altered Consciousness and No Recent Seizure
Andrea O. Rossetti, Kaspar Schindler, Raoul Sutter, et al.
JAMA Neurology (2020) Vol. 77, Iss. 10, pp. 1225-1225
Open Access | Times Cited: 118
EEG in postanoxic coma: Prognostic and diagnostic value
Jeannette Hofmeijer, Michel J. A. M. van Putten
Clinical Neurophysiology (2016) Vol. 127, Iss. 4, pp. 2047-2055
Open Access | Times Cited: 101
Neurologic Prognostication After Cardiac Arrest Using Brain Biomarkers
Ryan L. Hoiland, Kiran Rikhraj, Sharanjit Thiara, et al.
JAMA Neurology (2022) Vol. 79, Iss. 4, pp. 390-390
Open Access | Times Cited: 65
Post-Cardiac Arrest: Mechanisms, Management, and Future Perspectives
Taline Lazzarin, Carolina Rodrigues Tonon, Danilo Martins, et al.
Journal of Clinical Medicine (2022) Vol. 12, Iss. 1, pp. 259-259
Open Access | Times Cited: 42
Step by step daily management of short-term mechanical circulatory support for cardiogenic shock in adults in the intensive cardiac care unit: a clinical consensus statement of the Association for Acute CardioVascular Care of the European Society of Cardiology SC, the European Society of Intensive Care Medicine, the European branch of the Extracorporeal Life Support Organization, and the European Association for Cardio-Thoracic Surgery
Jacob Eifer Møller, Alessandro Sionís, Nadia Aïssaoui, et al.
European Heart Journal Acute Cardiovascular Care (2023) Vol. 12, Iss. 7, pp. 475-485
Open Access | Times Cited: 32
Prediction of outcomes after cardiac arrest by a generative artificial intelligence model
Simon A. Amacher, Armon Arpagaus, Christian Sahmer, et al.
Resuscitation Plus (2024) Vol. 18, pp. 100587-100587
Closed Access | Times Cited: 11
System for Predicting Neurological Outcomes Following Cardiac Arrest Based on Clinical Predictors Using a Machine Learning Method: The Neurological Outcomes After Cardiac Arrest Method
Tae Jung Kim, Jungyo Suh, Soo-Hyun Park, et al.
Neurocritical Care (2025)
Closed Access | Times Cited: 1
Neurophysiology and neuroimaging accurately predict poor neurological outcome within 24 hours after cardiac arrest: The ProNeCA prospective multicentre prognostication study
Maenia Scarpino, Francesco Lolli, Giovanni Lanzo, et al.
Resuscitation (2019) Vol. 143, pp. 115-123
Closed Access | Times Cited: 71
Neurophysiology for predicting good and poor neurological outcome at 12 and 72 h after cardiac arrest: The ProNeCA multicentre prospective study
Maenia Scarpino, Riccardo Carrai, Francesco Lolli, et al.
Resuscitation (2019) Vol. 147, pp. 95-103
Closed Access | Times Cited: 71
EEG‐based outcome prediction after cardiac arrest with convolutional neural networks: Performance and visualization of discriminative features
Stefan Jonas, Andrea O. Rossetti, Mauro Oddo, et al.
Human Brain Mapping (2019) Vol. 40, Iss. 16, pp. 4606-4617
Open Access | Times Cited: 56
Timing of brain computed tomography and accuracy of outcome prediction after cardiac arrest
Kaspar Josche Streitberger, Christian Endisch, Christoph J. Ploner, et al.
Resuscitation (2019) Vol. 145, pp. 8-14
Closed Access | Times Cited: 55
Neuroprognostication in the Post Cardiac Arrest Patient: A Canadian Cardiovascular Society Position Statement
Christopher B. Fordyce, Andreas H. Kramer, Craig Ainsworth, et al.
Canadian Journal of Cardiology (2023) Vol. 39, Iss. 4, pp. 366-380
Open Access | Times Cited: 18
Hypoxic-Ischemic Brain Injury in ECMO: Pathophysiology, Neuromonitoring, and Therapeutic Opportunities
Shivalika Khanduja, Jiah Kim, Jin Kook Kang, et al.
Cells (2023) Vol. 12, Iss. 11, pp. 1546-1546
Open Access | Times Cited: 17
Early Lance–Adams syndrome after cardiac arrest: Prevalence, time to return to awareness, and outcome in a large cohort
Irene Aicua Rapùn, Jan Nový, Daria Solari, et al.
Resuscitation (2017) Vol. 115, pp. 169-172
Open Access | Times Cited: 53
Outcome prediction of out-of-hospital cardiac arrest with presumed cardiac aetiology using an advanced machine learning technique
Tomohisa Seki, Tomoyoshi Tamura, Masaru Suzuki
Resuscitation (2019) Vol. 141, pp. 128-135
Closed Access | Times Cited: 48
Management of post-cardiac arrest syndrome
Youngjoon Kang
Acute and Critical Care (2019) Vol. 34, Iss. 3, pp. 173-178
Open Access | Times Cited: 47
Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care
Jesper Johnsson, Ola Björnsson, Peder Andersson, et al.
Critical Care (2020) Vol. 24, Iss. 1
Open Access | Times Cited: 47
Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm
Peder Andersson, Jesper Johnsson, Ola Björnsson, et al.
Critical Care (2021) Vol. 25, Iss. 1
Open Access | Times Cited: 35
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