Evidence map›Paper›PMID 31279357›Full record

ReviewJournal of cardiothoracic and vascular anesthesia2019

Noninvasive Monitoring and Potential for Patient Outcome.

Susana Vacas, Maxime Cannesson

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of cardiothoracic and vascular anesthesia, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04246320 (Taking Brain Monitoring to the Next Level), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT04246320 nacompletednot on this mapstarted 2020, after this paper: background citation

Taking Brain Monitoring to the Next Level

TypeinterventionalSponsorUniversity of California, Los AngelesRan2020 to 2022Enrolled7ConditionsPostoperative Cognitive Dysfunction, Postoperative Delirium, Obstructive Sleep ApneaArmsGoal directed therapy (GDT)
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Interventions to improve perioperative neurologic outcomes.Current opinion in anaesthesiology · 2020
    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

2 authors.

Susana VacasDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, CA. Electronic address: SVacas@mednet.ucla.edu.
Maxime CannessonDepartment of Anesthesiology and Perioperative Medicine, University of California, Los Angeles, Los Angeles, CA.

Funding

UC BRAID Center for Accelerated Innovation COVID-19 diagnostic project developmentU54HL119893 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PALAZZOLO, MICHAEL J · 2013 to 2020
$18.3M
Machine Learning of Physiological Waveforms and Electronic Health Record Data to Predict, Diagnose, and Treat Hemodynamic Instability in Surgical PatientsR01HL144692 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANNESSON, MAXIME · 2019 to 2023
$3.5M
Machine learning of physiological variables to predict diagnose and treat cardiorespiratory instabilityR01GM117622 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PINSKY, MICHAEL R · 2016 to 2019
$2.4M
PAIN MODULATION BY ENDOGENOUS CANNABINOIDSR01DA013012 · NIDA · INDIANA UNIVERSITY BLOOMINGTON · PI WALKER, J. MICHAEL · 2000 to 2004
$1.7M
NHLBI NIH HHS R01 HL144692NHLBI NIH HHS U54 HL119893NIDA NIH HHS R01 DA013012NIGMS NIH HHS R01 GM117622
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

BrainElectroencephalographyHemodynamicsHumansMonitoring, IntraoperativeRenal InsufficiencyTreatment Outcomenoninvasive monitoringpostoperative outcomessurgery

Identifiers

PMID31279357
PMCPMC6783129

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

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.