2001
DOI: 10.1053/jcrc.2001.21794
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Accuracy of predictions of survival at admission to the intensive care unit

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Cited by 26 publications
(14 citation statements)
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“…However, differences in physicians' experience, population studied, severity of illness, and time frame of the assessment may significantly affect the consistency and accuracy of physician predictions [4,5]. Furthermore, none of these previous studies have assessed whether physicians can reliably predict the long-term survival of critically ill patients.…”
Section: Introductionmentioning
confidence: 99%
“…However, differences in physicians' experience, population studied, severity of illness, and time frame of the assessment may significantly affect the consistency and accuracy of physician predictions [4,5]. Furthermore, none of these previous studies have assessed whether physicians can reliably predict the long-term survival of critically ill patients.…”
Section: Introductionmentioning
confidence: 99%
“…Clinicians planning treatment for a hypothetical patient with a COPD exacerbation divide almost equally between those choosing intubation (58%) and those choosing non-intubation (42%). 12 Our study differs in that the data are normally distributed, suggesting that at the extremes practice between clinicians is highly variable. This has substantial implications for patients, with practice varying between units or even within one unit according to the clinician on call that day.…”
Section: Discussionmentioning
confidence: 68%
“…Intensivists are more accurate in predicting ICU survival. 12 The data show a very wide variation in practice between individual clinicians. Some clinicians consider ventilation more readily than others in any situation.…”
Section: Discussionmentioning
confidence: 98%
“…The confrontation between the classically expertjudgement-based ''art of medicine'' point of view and that of ''evidence-based medicine'' is neither the focus nor the concern of the present study; however, the need to merge the two effectively in computer-based support systems is of concern across many health care disciplines, most particularly in critical care, to allow for better triage and distribution of resources [23][24][25][26]. Within this general debate, the clearest role for math-based systems development-computer modelling and instrumentation based on this work-is in improved data-gathering and decision-assist tools [27,28].…”
Section: Discussionmentioning
confidence: 95%