Evidence map›Paper›PMID 33194290›Full record

ArticleSurgical neurology international2020

Classification of internal carotid artery injuries during endoscopic endonasal approaches to the skull base.

Mohammed Bafaquh, Sami Khairy, Mahmoud Alyamany, Abdullah Alobaid, Gmaan Alzhrani, Ali Alkhaibary, Wafa F Aldhafeeri, Areej A Alaman, Hanan N Aljohani, Basim Noor Elahi and 3 more

Abstract read
In one paragraph

Article in Surgical neurology international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Mohammed Bafaquh *Department of Adult Neurosurgery, National Neuroscience Institute, King Fahed Medical City, Riyadh, Saudi Arabia.
Sami Khairy *Division of Neurosurgery, Department of Surgery, King Abdulaziz Medical City, Ministry of the National Guard - Health Affairs, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Mahmoud AlyamanyDepartment of Adult Neurosurgery, National Neuroscience Institute, King Fahed Medical City, Riyadh, Saudi Arabia.
Abdullah AlobaidDepartment of Adult Neurosurgery, National Neuroscience Institute, King Fahed Medical City, Riyadh, Saudi Arabia.
Gmaan AlzhraniDivision of Neurosurgery, Department of Surgery, King Abdulaziz Medical City, Ministry of the National Guard - Health Affairs, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Ali AlkhaibaryDivision of Neurosurgery, Department of Surgery, King Abdulaziz Medical City, Ministry of the National Guard - Health Affairs, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Wafa F AldhafeeriDepartment of Adult Neurosurgery, National Neuroscience Institute, King Fahed Medical City, Riyadh, Saudi Arabia.
Areej A AlamanDivision of Neurosurgery, Department of Surgery, King Abdulaziz Medical City, Ministry of the National Guard - Health Affairs, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Hanan N AljohaniDepartment of Neurosciences, Division of Neurosurgery, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia.
Basim Noor ElahiDepartment of Adult Neurosurgery, National Neuroscience Institute, King Fahed Medical City, Riyadh, Saudi Arabia.
Fatimah A AlghabbanDepartment of Adult Neurosurgery, National Neuroscience Institute, King Fahed Medical City, Riyadh, Saudi Arabia.
Yasser OrzDepartment of Adult Neurosurgery, National Neuroscience Institute, King Fahed Medical City, Riyadh, Saudi Arabia.
Abdulrahman Y AlturkiDepartment of Adult Neurosurgery, National Neuroscience Institute, King Fahed Medical City, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternal carotid artery (ICA) injuries are a major complication of endoscopic endonasal approaches (EEAs), which can be difficult to manage. Adding to the management difficulty is the lack of literature describing the surgical anatomical classification of these types of injuries. This article proposing a novel classification of ICA injuries during EEAs.

methodsThe classification of ICA injuries during EEAs was generated from the review of the literature and analysis of the main author observation of ICA injuries in general. All published cases of ICA injuries during EEAs in the literature between January 1990 and January 2020 were carefully reviewed. We reviewed all patients' demographic features, preoperative diagnoses, modes of injury, cerebral angiography results, surgical and medical management techniques, and reported functional outcomes.

resultsThere were 31 papers that reported ICA injuries during EEAs in the past three decades, most studies did not document the type of injury, and few described major laceration type of it. From that review of the literature, we classified ICA injuries into three main categories (Types I-III) and six sub-types. Type I is ICA branch injury, Type II is a penetrating injury to the ICA, and Type III is a laceration of the ICA wall. The functional neurological outcome was found to be worse with Type III and better with Type I.

conclusionThis is a novel classification system for ICA injuries during EEAs; it defines the patterns of injury. It could potentially lead to advancements in the management of ICA injuries in EEAs and facilitate communication to develop guidelines.

Indexed as

ClassificationEndonasalEndoscopicInjuryInternal carotid artery

Identifiers

PMID33194290
PMCPMC7656006

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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.