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Efficacy of emergent internal carotid artery stenting after intracranial thrombectomy for acute internal carotid artery stenosis related tandem lesions

2022· article· en· W4327903133 on OpenAlexaboutno aff
Na Xu, YI Ting⁃yu, WANG Ze⁃tuo, WU Yan⁃min, LIN Ding⁃lai

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2022
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsInternal carotid arteryMedicineStenosisCardiologyInternal medicineCarotid arteriesCarotid stentingRadiologyCarotid endarterectomy

Abstract

fetched live from OpenAlex

Objective To investigate the efficacy and safety of emergent carotid artery stenting (CAS) after intracranial artery mechanical thrombectomy for acute internal carotid artery (ICA) stenosis related tandem lesions. Methods A total of 79 patients with acute ICA stenosis related tandem lesions admitted to the Advanced Stroke Center of Zhangzhou Hospital affiliated to Fujian Medical University from January 2015 to December 2019 were selected. All patients underwent urgent endovascular therapy with "half" anterograde approach with or without usage of embolic prevention device (EPD) technology, and divided into CAS group (n=47) and non⁃CAS group (n=32) according to whether CAS was performed in emergency. Compared and analysed the 2 groups of surgical related indexes [including the preoperative Alberta Stroke Program Early CT Score (ASPECTS), the occlusion site of tandem lesions, the American Society of Interventional and Therapeutic Neuroradiology/Society of Interventional Radiology Collateral Flow Grading System (ASITN/SIR ACG), puncture⁃to⁃reperfusion time, leakage on C⁃arm CT, incidence of distal embolism], and the clinical prognostic indicators [including the incidence of symptomatic intracranial hemorrhage (sICH), culprit artery reocclusion rate, postoperative 90⁃d favorable outcome rate and mortality]. Univariate and multivariate forward Logistic regression were used to analysis the influencing factors of postoperative 90⁃d poor prognosis in acute ICA stenosis related tanchem lesions. Results All 79 patients had immediate postoperative mTICI grading≥2b, the vascular recanalization rate was 100%. There was no statistically significant differences in the preoperative ASPECTS (t=⁃0.170, P=0.865), the occlusion site of tandem lesions (Z=5.907, P=0.091), the ASITN/SIR ACG (t=⁃0.900,P=0.368), puncture⁃to⁃reperfusion time (t=0.182, P=0.856), leakage on C⁃arm CT (Z=⁃0.171, P=0.864), incidence of distal embolism (χ2=0.872, P=0.350), the incidence of sICH (χ2=1.670, P=0.434), the culprit artery re⁃occlusion rate (χ2=0.000, P=1.000), postoperative 90⁃d favorable outcome rate (χ2=2.149, P=0.143) and the mortality (χ2=0.150, P=0.699) between CAS group and non⁃CAS group. Logistic regression analysis showed that increasing age (OR=1.078, 95%CI: 1.011-1.148; P=0.021), leakage on C⁃arm CT (OR=5.163, 95%CI: 1.633-16.326; P=0.005) were risk factors for postoperaive 90⁃d poor outcomes of the patients with acute carotid atherosclerotic stenosis related tandem lesions. Conclusions For patients with acute ICA stenosis related tandem lesions used "half" anterograde approach with or without usage of EPD technology, the decision of emergent CAS after mechanical thrombectomy was made according to the stenosis degree of ICA and leakage on C⁃arm CT. This strategy is safe and feasible, and has the potential of clinical promotion.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.088
GPT teacher head0.454
Teacher spread0.365 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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