A citation-based method for searching scientific literature

W A Knaus, D P Wagner, E A Draper, J E Zimmerman, M Bergner, P G Bastos, C A Sirio, D J Murphy, T Lotring, A Damiano. Chest 1991
Times Cited: 2667







List of co-cited articles
287 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity



Acute Physiology and Chronic Health Evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients.
Jack E Zimmerman, Andrew A Kramer, Douglas S McNair, Fern M Malila. Crit Care Med 2006
875
13

MIMIC-III, a freely accessible critical care database.
Alistair E W Johnson, Tom J Pollard, Lu Shen, Li-Wei H Lehman, Mengling Feng, Mohammad Ghassemi, Benjamin Moody, Peter Szolovits, Leo Anthony Celi, Roger G Mark. Sci Data 2016
13

SAPS 3--From evaluation of the patient to evaluation of the intensive care unit. Part 2: Development of a prognostic model for hospital mortality at ICU admission.
Rui P Moreno, Philipp G H Metnitz, Eduardo Almeida, Barbara Jordan, Peter Bauer, Ricardo Abizanda Campos, Gaetano Iapichino, David Edbrooke, Maurizia Capuzzo, Jean-Roger Le Gall. Intensive Care Med 2005
698
12


APACHE II: a severity of disease classification system.
W A Knaus, E A Draper, D P Wagner, J E Zimmerman. Crit Care Med 1985
11


APACHE-acute physiology and chronic health evaluation: a physiologically based classification system.
W A Knaus, J E Zimmerman, D P Wagner, E A Draper, D E Lawrence. Crit Care Med 1981
10

The ANZROD model: better benchmarking of ICU outcomes and detection of outliers.
Eldho Paul, Michael Bailey, Jessica Kasza, David Pilcher. Crit Care Resusc 2016
32
28

A simplified acute physiology score for ICU patients.
J R Le Gall, P Loirat, A Alperovitch, P Glaser, C Granthil, D Mathieu, P Mercier, R Thomas, D Villers. Crit Care Med 1984
910
9


The eICU Collaborative Research Database, a freely available multi-center database for critical care research.
Tom J Pollard, Alistair E W Johnson, Jesse D Raffa, Leo A Celi, Roger G Mark, Omar Badawi. Sci Data 2018
170
7


The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3).
Mervyn Singer, Clifford S Deutschman, Christopher Warren Seymour, Manu Shankar-Hari, Djillali Annane, Michael Bauer, Rinaldo Bellomo, Gordon R Bernard, Jean-Daniel Chiche, Craig M Coopersmith,[...]. JAMA 2016
7

Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons.
Karl Y Bilimoria, Yaoming Liu, Jennifer L Paruch, Lynn Zhou, Thomas E Kmiecik, Clifford Y Ko, Mark E Cohen. J Am Coll Surg 2013
803
6

Epidemiology, Patterns of Care, and Mortality for Patients With Acute Respiratory Distress Syndrome in Intensive Care Units in 50 Countries.
Giacomo Bellani, John G Laffey, Tài Pham, Eddy Fan, Laurent Brochard, Andres Esteban, Luciano Gattinoni, Frank van Haren, Anders Larsson, Daniel F McAuley,[...]. JAMA 2016
6

The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.
Erik von Elm, Douglas G Altman, Matthias Egger, Stuart J Pocock, Peter C Gøtzsche, Jan P Vandenbroucke. Lancet 2007
6

The MIMIC Code Repository: enabling reproducibility in critical care research.
Alistair Ew Johnson, David J Stone, Leo A Celi, Tom J Pollard. J Am Med Inform Assoc 2018
78
7

Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016.
Andrew Rhodes, Laura E Evans, Waleed Alhazzani, Mitchell M Levy, Massimo Antonelli, Ricard Ferrer, Anand Kumar, Jonathan E Sevransky, Charles L Sprung, Mark E Nunnally,[...]. Intensive Care Med 2017
5

The Logistic Organ Dysfunction system. A new way to assess organ dysfunction in the intensive care unit. ICU Scoring Group.
J R Le Gall, J Klar, S Lemeshow, F Saulnier, C Alberti, A Artigas, D Teres. JAMA 1996
491
5

Clinical Practice Guidelines for the Prevention and Management of Pain, Agitation/Sedation, Delirium, Immobility, and Sleep Disruption in Adult Patients in the ICU.
John W Devlin, Yoanna Skrobik, Céline Gélinas, Dale M Needham, Arjen J C Slooter, Pratik P Pandharipande, Paula L Watson, Gerald L Weinhouse, Mark E Nunnally, Bram Rochwerg,[...]. Crit Care Med 2018
790
5

Acute respiratory distress syndrome: the Berlin Definition.
V Marco Ranieri, Gordon D Rubenfeld, B Taylor Thompson, Niall D Ferguson, Ellen Caldwell, Eddy Fan, Luigi Camporota, Arthur S Slutsky. JAMA 2012
5

Clinical applications of machine learning algorithms: beyond the black box.
David S Watson, Jenny Krutzinna, Ian N Bruce, Christopher Em Griffiths, Iain B McInnes, Michael R Barnes, Luciano Floridi. BMJ 2019
69
5


Assessing contemporary intensive care unit outcome: an updated Mortality Probability Admission Model (MPM0-III).
Thomas L Higgins, Daniel Teres, Wayne S Copes, Brian H Nathanson, Maureen Stark, Andrew A Kramer. Crit Care Med 2007
203
4




Comorbidity measures for use with administrative data.
A Elixhauser, C Steiner, D R Harris, R M Coffey. Med Care 1998
4

Clinical review: scoring systems in the critically ill.
Jean-Louis Vincent, Rui Moreno. Crit Care 2010
291
4

Development and implementation of a high-quality clinical database: the Australian and New Zealand Intensive Care Society Adult Patient Database.
Peter J Stow, Graeme K Hart, Tracey Higlett, Carol George, Robert Herkes, David McWilliam, Rinaldo Bellomo. J Crit Care 2006
167
4


Lean tissue imaging: a new era for nutritional assessment and intervention.
Carla M M Prado, Steven B Heymsfield. JPEN J Parenter Enteral Nutr 2014
246
3

Skeletal muscle predicts ventilator-free days, ICU-free days, and mortality in elderly ICU patients.
Lesley L Moisey, Marina Mourtzakis, Bryan A Cotton, Tahira Premji, Daren K Heyland, Charles E Wade, Eileen Bulger, Rosemary A Kozar. Crit Care 2013
235
3

Acute skeletal muscle wasting in critical illness.
Zudin A Puthucheary, Jaikitry Rawal, Mark McPhail, Bronwen Connolly, Gamunu Ratnayake, Pearl Chan, Nicholas S Hopkinson, Rahul Phadke, Tracy Dew, Paul S Sidhu,[...]. JAMA 2013
791
3

Low skeletal muscle area is a risk factor for mortality in mechanically ventilated critically ill patients.
Peter J M Weijs, Wilhelmus G P M Looijaard, Ingeborg M Dekker, Sandra N Stapel, Armand R Girbes, H M Oudemans-van Straaten, Albertus Beishuizen. Crit Care 2014
196
3

Appendicular skeletal muscle mass: measurement by dual-photon absorptiometry.
S B Heymsfield, R Smith, M Aulet, B Bensen, S Lichtman, J Wang, R N Pierson. Am J Clin Nutr 1990
539
3

Healthcare disparities in critical illness.
Graciela J Soto, Greg S Martin, Michelle Ng Gong. Crit Care Med 2013
65
4


Machine learning for real-time prediction of complications in critical care: a retrospective study.
Alexander Meyer, Dina Zverinski, Boris Pfahringer, Jörg Kempfert, Titus Kuehne, Simon H Sündermann, Christof Stamm, Thomas Hofmann, Volkmar Falk, Carsten Eickhoff. Lancet Respir Med 2018
74
4

A global clinical measure of fitness and frailty in elderly people.
Kenneth Rockwood, Xiaowei Song, Chris MacKnight, Howard Bergman, David B Hogan, Ian McDowell, Arnold Mitnitski. CMAJ 2005
3

The Emergency Surgery Score (ESS) accurately predicts the occurrence of postoperative complications in emergency surgery patients.
Anirudh R Nandan, Jordan D Bohnen, Naveen F Sangji, Thomas Peponis, Kelsey Han, D Dante Yeh, Jarone Lee, Noelle Saillant, Marc De Moya, George C Velmahos,[...]. J Trauma Acute Care Surg 2017
35
8

Framing the challenges of artificial intelligence in medicine.
Kun-Hsing Yu, Isaac S Kohane. BMJ Qual Saf 2019
49
6




ASA classification and perioperative variables as predictors of postoperative outcome.
U Wolters, T Wolf, H Stützer, T Schröder. Br J Anaesth 1996
635
3

MySurgeryRisk: Development and Validation of a Machine-learning Risk Algorithm for Major Complications and Death After Surgery.
Azra Bihorac, Tezcan Ozrazgat-Baslanti, Ashkan Ebadi, Amir Motaei, Mohcine Madkour, Panagote M Pardalos, Gloria Lipori, William R Hogan, Philip A Efron, Frederick Moore,[...]. Ann Surg 2019
64
4

Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.
Kristin M Corey, Sehj Kashyap, Elizabeth Lorenzi, Sandhya A Lagoo-Deenadayalan, Katherine Heller, Krista Whalen, Suresh Balu, Mitchell T Heflin, Shelley R McDonald, Madhav Swaminathan,[...]. PLoS Med 2018
48
6



Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.