Evidence map›Paper›PMID 21750522›Full record

ReviewNature reviews. Neurology2011

Multimodal monitoring and neurocritical care bioinformatics.

J Claude Hemphill, Peter Andrews, Michael De Georgia

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Milestones in the history of neurocritical care.Neurological research and practice · 2023
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Multimodal neurocritical monitoring.Biomedical journal · 2020
    Review
  17. Current Status and Recommendations in Multimodal Neuromonitoring.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
    Article
  18. Review
  19. Big data in status epilepticus.Epilepsy & behavior : E&B · 2019
    Review
  20. 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 at 3 institutions in 2 countries.

J Claude HemphillDepartment of Neurology, Brain and Spinal Injury Center, San Francisco General Hospital, Room 4M62, 1001 Potrero Avenue, San Francisco, CA 94110, USA. chemphill@sfgh.ucsf.edu
Peter Andrews
Michael De Georgia
San Francisco General Hospital · USUniversity Hospitals Case Medical Center · USWestern General Hospital · GB

Funding

SF-NETT: San Francisco Neurological Emergencies Trials NetworkU10NS058931 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HEMPHILL, JESSE CLAUDE · 2007 to 2016
$2.6M
NINDS NIH HHS U10 NS058931
6 · The paper itself

Abstract

Neurocritical care bioinformatics is a new field that focuses on the acquisition, storage and analysis of physiological and other data relevant to the bedside care of patients with acute neurological conditions such as traumatic brain injury or stroke. The main focus of neurocritical care for these conditions relates to prevention, detection and management of secondary brain injury, which relies heavily on monitoring of systemic and cerebral parameters (such as blood-pressure level and intracranial pressure). Advanced neuromonitoring tools also exist that enable measurement of brain tissue oxygen tension, cerebral oxygen utilization, and aerobic metabolism. The ability to analyze these advanced data for real-time clinical care, however, remains intuitive and primitive. Advanced statistical and mathematical tools are now being applied to the large volume of clinical physiological data routinely monitored in neurocritical care with the goal of identifying better markers of brain injury and providing clinicians with improved ability to target specific goals in the management of these patients. This Review provides an introduction to the concepts of multimodal monitoring for secondary brain injury in neurocritical care and outlines initial and future approaches using informatics tools for understanding and applying these data to clinical care.

Indexed as

Blood PressureBrain InjuriesCerebrovascular CirculationComputational BiologyCritical CareData Interpretation, StatisticalHumansIntracranial PressureMicrodialysisModels, NeurologicalMonitoring, PhysiologicNervous System DiseasesOxygenOxygen

Identifiers

PMID21750522
OpenAlexW2084396986

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.