Evidence map›Paper›PMID 29190218›Full record

ArticleAnesthesia and analgesia2017

Validation of a Real-Time Minute-to-Minute Urine Output Monitor and the Feasibility of Its Clinical Use for Patients Undergoing Cardiac Surgery.

Aaron J Chang, Yohei Nomura, Viachaslau M Barodka, Daijiro Hori, Jonathan T Magruder, Nevin M Katz, Dan E Berkowitz, Charles W Hogue

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Anesthesia and analgesia, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Aaron J ChangFrom the Center for Bioengineering Innovation and Design, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland.
Yohei NomuraDivision of Cardiac Surgery, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland.
Viachaslau M BarodkaDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
Daijiro HoriDivision of Cardiac Surgery, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland.
Jonathan T MagruderDivision of Cardiac Surgery, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland.
Nevin M KatzDivision of Cardiac Surgery, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, Maryland.
Dan E BerkowitzDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
Charles W HogueDepartment of Anesthesiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.

Funding

Continuous Cerebral Autoregulation Monitoring to Reduce Brain Injury from CardiacR01HL092259 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI HOGUE, CHARLES W · 2009 to 2018
$3.4M
NHLBI NIH HHS R01 HL092259
6 · The paper itself

Abstract

Acute kidney injury after cardiac surgery is associated with increased morbidity and mortality. Methods for measuring urine output in real time may better ensure renal perfusion perioperatively in contrast to the current standard of care where urine output is visually estimated after empiric epochs of time. In this study, we describe an accurate method for monitoring urine output continuously during cardiopulmonary bypass. This may provide a means for setting patient-specific targets for blood pressure and cardiopulmonary bypass flow as a potential strategy to reduce the risk for acute kidney injury.

Indexed as

Acute Kidney InjuryAgedCardiac Surgical ProceduresComputer SystemsFeasibility StudiesFemaleHumansMaleMiddle AgedMonitoring, PhysiologicPostoperative ComplicationsUrination

Identifiers

PMID29190218
PMCPMC5726301

What OpenQuestion holds

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Registered trials

None linked

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.