Evidence map›Paper›PMID 27609990›Full record

ArticleJournal of dynamic systems, measurement, and control2016

Automatic Detection of Endotracheal Intubation During the Anesthesia Procedure.

Ali Jalali, Mohamed Rehman, Arul Lingappan, C Nataraj

Abstract read
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In one paragraph

Article in Journal of dynamic systems, measurement, and control, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ali JalaliDepartment of Anesthesiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104;
Mohamed RehmanEndowed Chair, Biomedical Informatics and Entrepreneurial Sciences Professor, Clinical Anesthesiology and Critical Care and Pediatrics Director, Biomedical Informatics Children's Hospital of Philadelphia, Philadelphia, PA 19104.
Arul LingappanAssistant Professor Department of Anesthesiology, Children's Hospital of Philadelphia, Philadelphia, PA 19104.
C NatarajMr. & Mrs. Robert F. Moritz Senior Endowed Chair Professor in Engineered Systems Director Villanova Center for Analytics of Dynamic Systems (VCADS), Villanova University, Villanova, PA 19085 e-mail:  nataraj@villanova.edu.

Funding

Augmented Physiologic Monitoring to Predict Brain Injury in Infants with CHDR01NS072338 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI LICHT, DANIEL JACQUES · 2011 to 2015
$1.7M
NINDS NIH HHS R01 NS072338
6 · The paper itself

Abstract

This paper is concerned with the mathematical modeling and detection of endotracheal (ET) intubation in children under general anesthesia during surgery. In major pediatric surgeries, the airway is often secured with an endotracheal tube (ETT) followed by initiation of mechanical ventilation. Clinicians utilize auscultation of breath sounds and capnography to verify correct ETT placement. However, anesthesia providers often delay timely charting of ET intubation. This latency in event documentation results in decreased efficacy of clinical decision support systems. In order to target this problem, we collected real inpatient data and designed an algorithm to accurately detect the intubation time within the clinically valid range; the results show that we are able to achieve high accuracy in more than 96% of the cases. Automatic detection of ET intubation time would thus enhance better real-time data capture to support future improvement in clinical decision support systems.

Identifiers

PMID27609990
PMCPMC4992947

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.