Evidence map›Paper›PMID 31145200›Full record

ReviewCurrent opinion in anaesthesiology2019

Neurophysiological monitoring during neurosurgery: anesthetic considerations based on outcome evidence.

Benjamin F Gruenbaum, Shaun E Gruenbaum

Abstract readReview
In one paragraph

Review in Current opinion in anaesthesiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

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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.

Benjamin F GruenbaumDepartment of Anesthesiology, Yale University School of Medicine, New Haven, Connecticut.
Shaun E GruenbaumDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Jacksonville, Florida, USA.

Funding

Research Training in AnesthesiaT32GM086287 · NIGMS · YALE UNIVERSITY · PI ROBERT SCHONBERGER · 2009 to 2026
$3.7M
NIGMS NIH HHS T32 GM086287
6 · The paper itself

Abstract

purpose of reviewThis article reviews the recent outcome studies that investigated intraoperative neurophysiological monitoring (IONM) during spine, neurovascular and brain tumor surgery. RECENT

findingsSeveral recent studies have focused on identifying which types of neurosurgical procedures might benefit most from IONM use. Despite conflicting literature regarding its efficacy in improving neurological outcomes, many experts have advocated for the use of IONM in neurosurgery. Several themes have emerged from the recent literature: the entire perioperative team must always work together to ensure adequate communication and intervention; systems and checklists, in which each member of the perioperative team has a clearly defined role, can be useful in the event of a sudden intraoperative changes in electrophysiological signals; regardless of the IONM modality used, any sudden change in electrophysiological signal should prompt an immediate and appropriate intervention; a multimodal IONM approach is often, but not always, advantageous over a single IONM approach. SUMMARY: For neurosurgical procedures that can be complicated by neural injury, the use of IONM should be considered according to specific patient and surgical factors. Future studies should focus on improving IONM technology and optimizing sensitivity and specificity for detecting any impending neural damage.

Indexed as

AnesthesiaBrain NeoplasmsCerebrovascular DisordersEvidence-Based MedicineHumansIntraoperative ComplicationsIntraoperative Neurophysiological MonitoringNeurosurgical ProceduresPostoperative ComplicationsSensitivity and SpecificitySpinal DiseasesTrauma, Nervous SystemTreatment Outcome

Identifiers

PMID31145200
PMCPMC6863050

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.