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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Statistics in Medici...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Statistics in Medicine
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2020
Data sources: zbMATH Open
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Quicker detection risk‐adjusted cumulative sum charting procedures

Quicker detection risk-adjusted cumulative sum charting procedures
Authors: Fah Fatt Gan; Jing Sheng Yuen; Sven Knoth;

Quicker detection risk‐adjusted cumulative sum charting procedures

Abstract

When a patient is operated on, the surgical outcome depends on two major factors: (i) the patient's health condition and (ii) the surgical process comprising the surgeon, the supporting staff, operating environment, and equipment. An outcome is usually represented by one if a patient dies within 30 days of an operation and zero otherwise. Another method of measuring the outcome is to use survival time with truncation on the 30th day for monitoring purposes. In order to monitor a surgical process effectively, the health condition of a patient must be taken into consideration. This is usually done using a log‐likelihood ratio statistic based on an outcome, that is, risk adjusted according to the health condition of the patient. The 30‐day wait results in delay in signaling when a deterioration occurs. The consequence of having to wait even though a death has occurred is the potential loss of lives because of delay in signaling. Regular updating of patients' information can improve the sensitivity of a charting procedure. The main objective of this article is to develop and study the class of risk‐adjusted cumulative sum procedures that are updated on a regular basis based on patients' current conditions, without having to wait 30 days. Our study shows that these charts do in fact signal earlier and there are differences among the various updating techniques and monitoring statistics.

Keywords

Surgeons, Parsonnet scores, binary outcomes, statistical quality control, surgical outcomes, Applications of statistics to biology and medical sciences; meta analysis, log-likelihood ratio statistic, Humans, survival time

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%
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