Evidence map›Paper›PMID 31764194›Full record

ReviewCurrent opinion in critical care2020

The role of computer-based clinical decision support systems to deliver protective mechanical ventilation.

Robinder G Khemani, Justin C Hotz, Katherine A Sward, Christopher J L Newth

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in critical care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 20% of its field
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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Real-Time Effort Driven Ventilator Management: A Pilot Study.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2020
    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

4 authors at 3 institutions in 1 country.

Robinder G KhemaniDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles and Keck School of Medicine, University of Southern California, Los Angeles, California.
Justin C HotzDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles and Keck School of Medicine, University of Southern California, Los Angeles, California.
Katherine A SwardCollege of Nursing and Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA.
Christopher J L NewthDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles and Keck School of Medicine, University of Southern California, Los Angeles, California.
University of Southern California · USChildren's Hospital of Los Angeles · USUniversity of Utah · US

Funding

Pathobiologic profile and outcomes of critically ill children and adolescents exposed to vaping and e-cigarettesR01HL134666 · NHLBI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI KHEMANI, ROBINDER · 2017 to 2021
$3.3M
NHLBI NIH HHS R01 HL134666
6 · The paper itself

Abstract

purpose of reviewMechanical ventilation of adults and children with acute respiratory failure necessitates balancing lung and diaphragm protective ventilation. Computerized decision support (CDS) offers advantages in circumstances where complex decisions need to be made to weigh potentially competing risks, depending on the physiologic state of the patient. RECENT

findingsSignificant variability in how ventilator protocols are applied still exists and clinical data show that there continues to be wide variability in ventilator management. We have developed a CDS, which we are currently testing in a Phase II randomized controlled trial. The CDS is called Real-time Effort Driven ventilator management (REDvent). We will describe the rationale and methods for development of CDS for lung and diaphragm protective ventilation, using the REDvent CDS as an exemplar. SUMMARY: Goals for achieving compliance and physiologic objectives can be met when CDS instructions are simple and explicit, provide the clinician with the underlying rule set, permit acceptable reasons for declining and allow for iterative adjustments.

Indexed as

Decision Support Systems, ClinicalRespiration, ArtificialRespiratory Distress SyndromeAdultChildHumansRespirationVentilators, Mechanical

Identifiers

PMID31764194
PMCPMC8063512
OpenAlexW2991174296

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.