Precise mathematics yet hazy predictions: Can validated risk indices help improve patient selection for major elective surgery?

Precise mathematics yet hazy predictions: Can validated risk indices help improve patient... Can J Anesth/J Can Anesth (2017) 64:893–898 DOI 10.1007/s12630-017-0910-4 EDITORIALS Precise mathematics yet hazy predictions: Can validated risk indices help improve patient selection for major elective surgery? Duminda N. Wijeysundera, MD, PhD Received: 18 May 2017 / Accepted: 8 June 2017 / Published online: 16 June 2017 Canadian Anesthesiologists’ Society 2017 Not uncommonly, anesthesiologists face the scenario of a initially developed using information from administrative very high-risk patient being considered for major elective databases in Ontario, this relatively simple scoring surgery. Many reasonable doctors speculate whether the scheme has shown remarkably stable predictive likelihood of such a patient’s survival might be better performance when tested across different hospital 3,4 served with a non-operative treatment option. Perhaps settings, countries, and data sources. Importantly, the unsurprisingly, there are remarkably few data available to HOMR score was developed and validated in samples that better our understanding of this important issue. In this issue included a broad spectrum of hospitalized patients, of the Journal, McIsaac et al. present a population-based including inpatient admissions with varying urgency (i.e., retrospective cohort study, by which they sought, in part, to elective, urgent, emergent) and indications (i.e., surgical, 2,3 quantify how patients’ observed survival after major medical, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Canadian Journal of Anesthesia/Journal canadien d'anesthésie Springer Journals

Precise mathematics yet hazy predictions: Can validated risk indices help improve patient selection for major elective surgery?

Loading next page...
 
/lp/springer_journal/precise-mathematics-yet-hazy-predictions-can-validated-risk-indices-v9mPpzgHkb
Publisher
Springer US
Copyright
Copyright © 2017 by Canadian Anesthesiologists' Society
Subject
Medicine & Public Health; Anesthesiology; Pain Medicine; Intensive / Critical Care Medicine; Pneumology/Respiratory System; Cardiology; Pediatrics
ISSN
0832-610X
eISSN
1496-8975
D.O.I.
10.1007/s12630-017-0910-4
Publisher site
See Article on Publisher Site

Abstract

Can J Anesth/J Can Anesth (2017) 64:893–898 DOI 10.1007/s12630-017-0910-4 EDITORIALS Precise mathematics yet hazy predictions: Can validated risk indices help improve patient selection for major elective surgery? Duminda N. Wijeysundera, MD, PhD Received: 18 May 2017 / Accepted: 8 June 2017 / Published online: 16 June 2017 Canadian Anesthesiologists’ Society 2017 Not uncommonly, anesthesiologists face the scenario of a initially developed using information from administrative very high-risk patient being considered for major elective databases in Ontario, this relatively simple scoring surgery. Many reasonable doctors speculate whether the scheme has shown remarkably stable predictive likelihood of such a patient’s survival might be better performance when tested across different hospital 3,4 served with a non-operative treatment option. Perhaps settings, countries, and data sources. Importantly, the unsurprisingly, there are remarkably few data available to HOMR score was developed and validated in samples that better our understanding of this important issue. In this issue included a broad spectrum of hospitalized patients, of the Journal, McIsaac et al. present a population-based including inpatient admissions with varying urgency (i.e., retrospective cohort study, by which they sought, in part, to elective, urgent, emergent) and indications (i.e., surgical, 2,3 quantify how patients’ observed survival after major medical,

Journal

Canadian Journal of Anesthesia/Journal canadien d'anesthésieSpringer Journals

Published: Jun 16, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off