Evidence map›Paper›PMID 25208675›Full record

ReviewNeurocritical care2014

Multimodality monitoring: informatics, integration data display and analysis.

J Michael Schmidt, Michael De Georgia, Participants in the International Multidisciplinary Consensus Conference on Multimodality Monitoring

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neurocritical care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Novel displays of patient information in critical care settings: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  2. Article
  3. Observational
  4. Big data in status epilepticus.Epilepsy & behavior : E&B · 2019
    Review
  5. Article
  6. Article
  7. Review
  8. Brain Multimodality Monitoring: Updated Perspectives.Current neurology and neuroscience reports · 2016
    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

3 authors.

J Michael SchmidtDivision of Critical Care Neurology, Neurological Institute, Columbia University College of Physicians and Surgeons, 177 Fort Washington Avenue, MHB Suite 8-300, New York, NY, 10032, USA, mjs2134@columbia.edu.
Michael De Georgia
Participants in the International Multidisciplinary Consensus Conference on Multimodality Monitoring

Funding

Department of Health NIHR-RP-R3-12-013Medical Research Council G0600986Medical Research Council G1002277Medical Research Council G9439390
6 · The paper itself

Abstract

The goal of multimodality neuromonitoring is to provide continuous, real-time assessment of brain physiology to prevent, detect, and attenuate secondary brain injury. Clinical informatics deals with biomedical data, information, and knowledge including their acquisition, storage, retrieval, and optimal use for clinical decision-making. An electronic literature search was conducted for English language articles describing the use of informatics in the intensive care unit setting from January 1990 to August 2013. A total of 64 studies were included in this review. Clinical informatics infrastructure should be adopted that enables a wide range of linear and nonlinear analytical methods be applied to patient data. Specific time epochs of clinical interest should be reviewable. Analysis strategies of monitor alarms may help address alarm fatigue. Ergonomic data display that present results from analyses with clinical information in a sensible uncomplicated manner improve clinical decision-making. Collecting and archiving the highest resolution physiologic and phenotypic data in a comprehensive open format data warehouse is a crucial first step toward information management and two-way translational research for multimodality monitoring. The infrastructure required is largely the same as that needed for telemedicine intensive care applications, which under the right circumstances improves care quality while reducing cost.

Indexed as

Critical CareData DisplayMedical Informatics ApplicationsNeurophysiological MonitoringSystems IntegrationHumansTelemedicine

Identifiers

What OpenQuestion holds

Textmetadata
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.