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Record W4399830855 · doi:10.1097/js9.0000000000001833

Anatomical predispositions for silent cerebral infarction postcarotid artery stenting: a retrospective cohort

2024· article· en· W4399830855 on OpenAlexaff
Tianhua Li, Renjie Yang, Jie Wang, Tao Wang, Guangjie Liu, Jiaqi Jin, Xuesong Bai, Ran Xu, Taoyuan Lu, Yabing Wang, Adam A. Dmytriw, Bin Yang, Liqun Jiao

Bibliographic record

VenueInternational Journal of Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineRetrospective cohort studyCohortInternal medicineAortic archCardiologyStenosisSurgeryAorta

Abstract

fetched live from OpenAlex

BACKGROUND: Silent cerebral infarction (SCI) that manifests following carotid artery stenting (CAS) has been postulated to correlate with cognitive decline, the onset of dementia, and an increased risk of subsequent cerebrovascular events. This investigation aimed to thoroughly examine the potential anatomical predispositions that are linked to the occurrence of SCI post-CAS, and further develop a predictive nomogram that could accurately forecast the risk of SCI post-CAS. METHODS: The present investigation conducted a retrospective examination of datasets from 250 individuals presenting with carotid artery stenosis who had been subjected to CAS within a tertiary healthcare institution from June 2020 to November 2021. Stratified by the procedural date, participants were allocated into a training cohort and a validation cohort. A nomogram was constructed predicated on salient prognostic determinants discerned via a multivariate logistic regression analysis. RESULTS: An aggregate of 184 patients were incorporated into the study, of which 60 (32.6%) manifested SCI, whereas 124 (67.4%) did not. Within the training cohort ( n =123), age (OR 1.08, 95% CI: 1.01-1.16; P =0.034), aortic arch type (Type III vs. I: OR 10.79, 95% CI: 2.12-54.81; P =0.005), aortic arch variant (OR 47.71, 95% CI: 6.05-376.09; P <0.001), common carotid artery (CCA) ostium lesions (OR 6.93, 95% CI: 1.49-32.32; P =0.014), and proximal tortuosity index (TI) (OR 1.01, 95% CI: 1.00-1.02; P =0.029) were demarcated as standalone risk predispositions for SCI subsequent to CAS. The concordance index (C-index) for the training cohort's nomogram stood at 0.89 (95% CI: 0.84-0.95). Moreover, the said nomogram exhibited commendable efficacy within the validation cohort (C-index=0.94) as well as the entire participant base (C-index=0.90). Furthermore, the decision curve analysis illustrated the exemplary clinical applicability of the nomogram. CONCLUSIONS: The findings of this inquiry underscore that age, aortic arch type, aortic arch variant, CCA ostium lesions, and proximal TI serve as independent determinants linked with SCI post-CAS. The formulated nomogram, predicated on these risk factors, possesses robust prognostic significance, and might serve as a valuable adjunct to inform clinical decision-making.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.013
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.283
Teacher spread0.267 · 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 teacher head, 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".

Quick stats

Citations3
Published2024
Admission routes1
Has abstractyes

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