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Analysis of influencing factors for first recanalization in patients with acute large artery occlusive cerebral infarction after Solitaire stent multi-mode endovascular treatment

2025· article· zh· W7092365907 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languagezh
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsSolitaire Cryptographic AlgorithmThrombolysisModified Rankin ScaleMiddle cerebral arteryCerebral infarctionStentOcclusionCollateral circulation

Abstract

fetched live from OpenAlex

Objective To screen the influencing factors for first recanalization in patients with acute large artery occlusive cerebral infarction after Solitaire stent multi-mode endovascular treatment. Methods The 100 patients with acute large artery occlusive cerebral infarction who received Solitaire stent multi-mode endovascular treatment in The First People's Hospital of Qinzhou from January 2020 to June 2022 were enrolled. The modified Thrombolysis in Cerebral Infarction (mTICI) was used to evaluate the recanalization. The National Institutes of Health Stroke Scale (NIHSS) was used to evaluate the severity of neurological deficits, and the Alberta Stroke Program Early CT Score (ASPECT) was used to evaluate degree of cerebral ischemia before and 24h after surgery. The modified Rankin Scale (mRS) was used to evaluate the neurological functional prognosis. Univariate and multivariate Logistic regression analyses were conducted to screen the influencing factors for the first recanalization. Results A total of 100 patients were divided into the first recanalization group (n=50) and the non-first recanalization group (n=50) according to whether they reached the mTICI blood flow grading standard (mTICI≥2b). Logistic regression analysis showed that middle cerebral artery occlusion (OR=0.233, 95%CI: 0.133-0.446; P=0.015), more collateral circulation compensation (OR=0.342, 95%CI: 0.203-0.538; P=0.024), the ASPECT score increased 24h after surgery (OR=0.223, 95%CI: 0.078-0.707; P=0.000), the mRS score decreased 90 d after surgery (OR=0.539, 95%CI: 0.194-0.884; P=0.002) were protective factors for the first recanalization after Solitaire stent multi-mode endovascular treatment. The frequency of thrombectomy increased (OR=3.347, 95%CI: 1.118-5.576; P=0.002), prolonged time from onset to recanalization (OR=4.997, 95%CI: 1.798-14.947; P=0.009), the NIHSS score increased 24h after the surgery (OR=3.038, 95%CI: 2.173-4.587; P=0.000) were risk factors for the non-first recanalization after Solitaire stent multi-mode endovascular treatment. Conclusions The first recanalization after Solitaire stent multi-mode endovascular treatment is affected by multiple factors. During the clinical diagnosis and treatment process, adjusting the intervention and treatment measures according to the relevant influencing factors is of great significance for improving the clinical efficacy.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.062
GPT teacher head0.450
Teacher spread0.388 · 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
Published2025
Admission routes1
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