Evidence map›Paper›PMID 35047269›Full record

ArticleCureus2021

Emerging Super-specialty of Neurology: Intraoperative Neurophysiological Monitoring (IONM) and Experience in Various Neurosurgeries at a Tertiary Care Hospital in Doha, Qatar.

Liaquat Ali, Faisal R Jahangiri, Arshad Ali, Sirajeddin Belkhair, Osama Elalamy, Gholam Adeli, Mohammad Alghazow, Rakesh Krishnan, Fazal Karim, Ambreen Iqrar and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

11 authors at 4 institutions in 3 countries.

Liaquat AliDepartment of Neurology, Neuroscience Institute, Hamad General Hospital, Doha, QAT.
Faisal R JahangiriSchool of Behavioral and Brain Sciences, The University of Texas at Dallas, Richardson, USA.
Arshad AliDepartment of Neurosurgery, Neuroscience Institute, Hamad General Hospital, Doha, QAT.
Sirajeddin BelkhairDepartment of Neurosurgery, Neuroscience Institute, Hamad General Hospital, Doha, QAT.
Osama ElalamyDepartment of Neurology, Neuroscience Institute, Hamad General Hospital, Doha, QAT.
Gholam AdeliDepartment of Neurology, Neuroscience Institute, Hamad General Hospital, Doha, QAT.
Mohammad AlghazowDepartment of Neurology, Neuroscience Institute, Hamad General Hospital, Doha, QAT.
Rakesh KrishnanDepartment of Neurology, Neuroscience Institute, Hamad General Hospital, Doha, QAT.
Fazal KarimDepartment of Neurology, Neuroscience Institute, Hamad General Hospital, Doha, QAT.
Ambreen IqrarDepartment of Neurology, Aga Khan Health Service, Pakistan, Karachi, PAK.
Ali RazaDepartment of Neurosurgery, Neuroscience Institute, Hamad General Hospital, Doha, QAT.
Hamad General Hospital · QANeuroscience Institute · ITLabouré College · USWeill Cornell Medical College in Qatar · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Intraoperative neurophysiological monitoring (IONM) helps in better patient outcomes by minimizing risks related to the functional status of the nervous system during surgical procedures. An IONM alert to the surgical team during the surgery can help them identify the cause and take immediate corrective action. IONM confers possible benefits, including improved surgical morbidity and mortality, better patient care, minimal neurological deficits, reduced hospital stay, medical costs, and litigation risk. In addition, a highly skilled IONM team will make a better patient outcome. Methods We retrospectively reviewed 62 consecutive patients who underwent intracranial and spinal neurosurgical procedures. Multimodality IONM was utilized, including somatosensory evoked potentials, transcranial electrical motor evoked potential, spontaneous and triggered electromyography, electroencephalography, electrocorticography, cortical sensory mapping, and direct electrical cortical stimulation. Of a total of 62 patients, two patients revealed neurotonic EMG discharges during IONM, and most patients woke up without any new neurological deficit. Results Sixty-two patients were included, ranging from age 5 to 77 years (mean 43.5 years), with 54.8% men and 45.2% female. Multimodality IONM was used in all patients. Two EMG alerts were recorded during IONM, during a brain tumor resection, and right acetabular hip surgery with postoperative right foot drop. Conclusion Multimodality IONM is the gold standard of care for any surgical services and is used as real-time monitoring of functional integrity of neural structures at risk. If utilized by trained and expert teams, numerous surgeries may benefit from multimodality intraoperative neurophysiologic monitoring.

Indexed as

electromyographyemgionmmultimodality ionmneuromonitoringneurophysiologyneurosurgeryorthopedicsomatosensory evoked potentials (ssep)transcranial electrical motor evoked potential (tcemep)

Identifiers

PMID35047269
PMCPMC8759984
OpenAlexW4200599563

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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.