Evidence map›Paper›PMID 33042663›Full record

ArticleCureus2020

Intraoperative Neurophysiological Monitoring During Trigeminal Schwannoma Surgery.

Faisal R Jahangiri, Abeera Azam, Rabehah A Asdi, Imtiaz Ahmad, Shaik I Basha

Abstract readCase Reports
In one paragraph

Article in Cureus, 2020. 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. Article
  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

5 authors.

Faisal R JahangiriNeurophysiology, Axis Neuromonitoring, Richardson, USA.
Abeera AzamNeurophysiology, Axis Neuromonitoring, Richardson, USA.
Rabehah A AsdiBehavioral and Brain Sciences, The University of Texas at Dallas, Richardson, USA.
Imtiaz AhmadNeuronavigation, King Abdulaziz Medical City, Ministry of National Guard-Health Affairs, Riyadh, SAU.
Shaik I BashaEar, Nose, and Throat Surgery, Sheikh Khalifa Medical City, Abu Dhabi, ARE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical manipulation during skull base surgeries places various cranial nerves (CN) at risk, including the nerves innervating the extraocular muscles. It could be very challenging for the surgeon to identify these cranial nerves due to the distortion of the normal anatomy by the tumors. Despite the recent advancement in technology, surgeries involving the third, fourth, fifth, and sixth cranial nerves still carry a risk of temporary or permanent paralysis of the muscles supplied by these cranial nerves. Intraoperative Neurophysiological Monitoring (IONM) with spontaneous and triggered electromyography (EMG) can help in guiding the surgeon in locating the nerves and avoiding any injury to them during the resection. IONM for extraocular cranial nerves requires highly skilled personnel with knowledge of anatomy and expertise in the placement of the electrodes. Benign tumors of the nerve sheath that arise from the perineural Schwann cells are known as schwannomas. Various cranial nerves might be involved in schwannomas of the head and neck. Trigeminal schwannomas are rare tumors. In this report, we describe the setup and stimulation technique and parameters as well as the benefits of utilizing IONM during the aggressive resection of a trigeminal schwannoma. The main purpose of utilizing IONM during these high-risk surgical procedures is to minimize any intraoperative damage to the neural structures involved.

Indexed as

electroencephalographyelectromyographyemgionmsomatosensory evoked potentialssseptrigeminal nerve.trigeminal neuralgiatrigeminal schwannoma

Identifiers

PMID33042663
PMCPMC7535875

What OpenQuestion holds

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Registered trials

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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.