Literature DB >> 12133088

Uncertainty and scoring systems.

S A Ridley1.   

Abstract

Estimating risks for individual patients facilitates communication with patients, relatives and colleagues, and determines whether further treatment is futile. The process of estimating risks involves mathematics (i.e. scoring systems) and human experience and expertise. Understanding how risks are estimated is important because prognostication is an integral part of any medical specialty. In the USA, such treatment limitation or withdrawal decisions were made on only 7% of all intensive care unit patients but this represented 47% of all deaths on such units. In the UK, data reported by the Intensive Care National Audit and Research Centre suggest that although treatment limitation decisions are made on only 11.8% of patients, this accounts for over 50% of deaths on intensive care. Scoring systems offer a useful adjunct in identifying futility but there are important inherent weaknesses that limit their performance. This review aims to discuss some of these limitations.

Entities:  

Mesh:

Year:  2002        PMID: 12133088     DOI: 10.1046/j.1365-2044.2002.02619.x

Source DB:  PubMed          Journal:  Anaesthesia        ISSN: 0003-2409            Impact factor:   6.955


  8 in total

Review 1.  Neonatal disease severity scoring systems.

Authors:  J S Dorling; D J Field; B Manktelow
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2005-01       Impact factor: 5.747

2.  The legal framework for end of life care: a United Kingdom perspective.

Authors:  Dominic Bell
Journal:  Intensive Care Med       Date:  2006-11-08       Impact factor: 17.440

3.  Intensive care admission decisions for a patient with limited survival prospects: a questionnaire and database analysis.

Authors:  Alistair F McNarry; David R Goldhill
Journal:  Intensive Care Med       Date:  2003-11-26       Impact factor: 17.440

4.  A Technical Note on the PainChek™ System: A Web Portal and Mobile Medical Device for Assessing Pain in People With Dementia.

Authors:  Mustafa Atee; Kreshnik Hoti; Jeffery D Hughes
Journal:  Front Aging Neurosci       Date:  2018-06-12       Impact factor: 5.750

5.  Evaluation of the foal survival score in a Danish-Swedish population of neonatal foals upon hospital admission.

Authors:  Anna Bohlin; Claude Saegerman; Emma Hoeberg; Alexandra Sånge; Katarina Nostell; Inge Durie; Louise Husted; Anna Öhman; Gaby van Galen
Journal:  J Vet Intern Med       Date:  2019-04-19       Impact factor: 3.333

6.  When is it considered reasonable to start a risky and uncomfortable treatment in critically ill patients? A random sample online questionnaire study.

Authors:  M Zink; A Horvath; V Stadlbauer
Journal:  BMC Med Ethics       Date:  2021-11-03       Impact factor: 2.652

7.  "Neo-PIRO": Introducing a Novel Grading System for Surgical Infections of Neonates.

Authors:  G Raghavendra Prasad; J V Subba Rao; Amtul Aziz; T M Rashmi
Journal:  J Indian Assoc Pediatr Surg       Date:  2017 Oct-Dec

8.  Predicting the amputation risk for patients with diabetic foot ulceration - a Bayesian decision support tool.

Authors:  Jens Hüsers; Guido Hafer; Jan Heggemann; Stefan Wiemeyer; Swen Malte John; Ursula Hübner
Journal:  BMC Med Inform Decis Mak       Date:  2020-08-24       Impact factor: 2.796

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.