Evidence map›Paper›PMID 27521822›Full record

ArticleAnnals of vascular surgery2017

Somatosensory Evoked Potentials and Electroencephalography during Carotid Endarterectomy Predict Late Stroke but not Death.

Natalie Domenick Sridharan, Rabih A Chaer, Partha D Thirumala, Jeffrey Balzer, Becky Long, Edith Tzeng, Michel S Makaroun, Efthymios D Avgerinos

Open access · greenAbstract read
In one paragraph

Article in Annals of vascular surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 16 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

8 authors at 2 institutions in 1 country.

Natalie Domenick SridharanDepartment of Surgery, Division of Vascular Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA. Electronic address: domenickna2@upmc.edu.
Rabih A ChaerDepartment of Surgery, Division of Vascular Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Partha D ThirumalaDepartment of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Jeffrey BalzerDepartment of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Becky LongDepartment of Surgery, Division of Vascular Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Edith TzengDepartment of Surgery, Division of Vascular Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Michel S MakarounDepartment of Surgery, Division of Vascular Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
Efthymios D AvgerinosDepartment of Surgery, Division of Vascular Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA.
University of Pittsburgh Medical Center · USNeurological Surgery · US

Funding

Vascular Surgery Research Training (VascTrain) ProgramT32HL098036 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Edith Tzeng · 2010 to 2026
$7.2M
NHLBI NIH HHS T32 HL098036
6 · The paper itself

Abstract

backgrondLate stroke and death rates are anticipated to be higher in patients undergoing carotid endarterectomy (CEA) compared with healthy counterparts. However, little is known regarding predictors other than the baseline comorbidities. We have recently shown that dual intraoperative somatosensory evoked potentials (SSEPs) and electroencephalography (EEG) monitoring improves the ability to predict perioperative strokes. We seek to determine if dual intraoperative monitoring (IOM) can further predict long-term strokes and death.

methodsConsecutive patients who underwent CEA under dual SSEP and EEG IOM between January 1, 2000 and December 31, 2010 were analyzed. Patients were divided in 2 groups, those with and those without IOM changes. IOM changes were classified as either occurring during carotid cross-clamp placement or at any time during the operation. End points were time to stroke and death. Log-rank tests and Cox regression analysis were used to identify predictors of postoperative stroke and death.

resultsA total of 853 CEAs (mean age 70.6 ± 9.5 years, 58.7% male, 38.9% symptomatic) were performed during the study period with a mean clinical follow-up of 48 ± 38 months. One hundred seven patients (13.6%) had significant SSEP or EEG changes at the time of clamping, while considerably more patients (217, 25.4%) had SSEP and/or EEG changes recorded at any point during the procedure, including clamping. Baseline characteristics including rates of bilateral disease, statin use, and antiplatelet use were similar between groups. Female gender, symptomatic disease, and significant contralateral carotid stenosis were more frequent in the group with IOM changes. The overall stroke-free survival rate at 5 years was significantly higher in patients without IOM changes (94.7% vs. 88.2%, P < 0.05) and at 10 years (86.1% vs. 78.0%, P < 0.05). Despite differences in stroke-free survival, overall survival at 10 years was not different between groups (44.0% in patients with IOM changes vs. 42.8% in patients without, P = 0.7). Renal insufficiency (hazards ratio [HR] 2.13, P = 0.03), diabetes (HR 1.84, P = 005), and age > 80 at the time of operation (HR 3.24, P = 0.001) were significant predictors of late stroke, while statins were significantly protective (HR 0.55, P = 0.05). Controlling for these factors, IOM changes (HR 2.5, P = 0.004) were a strong predictor of long-term risk of stroke after CEA.

conclusionIntraoperative SSEP and/or EEG changes are predictive of late stroke but not death following CEA indicating a need for further elucidation and management of the underlying risk factors driving the elevated stroke risk in this subset of CEA patients.

Indexed as

ElectroencephalographyEvoked Potentials, SomatosensoryAgedAged, 80 and overCarotid Artery DiseasesDisease-Free SurvivalEndarterectomy, CarotidFemaleHumansIntraoperative Neurophysiological MonitoringKaplan-Meier EstimateMaleMiddle AgedPredictive Value of TestsProportional Hazards ModelsRetrospective Studies

Identifiers

PMID27521822
PMCPMC5164853
OpenAlexW2463581876

What OpenQuestion holds

Textmetadata
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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.