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Record W4405004823 · doi:10.21037/qims-24-322

Direct endovascular treatment may be more appropriate for patients with good collateral circulation: a retrospective case-control study

2024· article· en· W4405004823 on OpenAlexaboutno aff
Zhengwen Chen, Yaoyu Ying, Xiaojian Lu, Chao Yu, Jingli Wang, Junjie Shao, Qi Jia, Peicheng Li, Long Chen

Bibliographic record

VenueQuantitative Imaging in Medicine and Surgery · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsCollateral circulationMedicineCollateralCollateral damageCirculation (fluid dynamics)Retrospective cohort studyIntensive care medicineRadiologySurgeryFinanceBusiness

Abstract

fetched live from OpenAlex

Background: Recent studies have shown that endovascular treatment (EVT) alone is noninferior to the combination of intravenous thrombolysis and EVT (IVT + EVT) in patients with acute ischemic stroke due to large-vessel occlusion (AIS-LVO) in the anterior cerebral circulation. However, some studies report conflicting results suggesting that the benefits of IVT may be limited to specific subgroups. Previous research has established a strong correlation between collateral status and prognosis in patients treated with IVT or EVT. The primary aim of this study was to investigate the impact of collateral status on clinical outcomes in patients receiving EVT alone or IVT + EVT. Methods: We retrospectively collected data from 238 consecutive patients who were diagnosed with AIS-LVO and underwent EVT or IVT + EVT from January 2019 to January 2023. Patients were divided into two groups, based on whether they received IVT prior to EVT. Multivariable ordinal logistic regression with an interaction term was used to assess the impact of collateral circulation on treatment outcomes, including 90-day modified Rankin Scale (mRS) scores, success rate of recanalization, incidence of intracerebral hemorrhage, mortality, embolus migration, and the rate of achieving a modified thrombolysis in cerebral infarction (mTICI) score of 3. To adjust the common odds ratio (OR), we included variables such as gender, age, baseline National Institutes of Health Stroke Scale (NIHSS) score, Alberta Stroke Program Early Computed Tomography Score (ASPECTS), and onset-to-puncture time. Results: Overall, patients with adequate collateral circulation, defined as a regional leptomeningeal collateral score of 17-20 points, demonstrated more favorable 90-day outcomes, including lower mRS score, higher recanalization success rate, and lower rates of intracerebral hemorrhage, mortality, embolus migration, along with higher likelihood of achieving mTICI 3 score. However, the impact of collateral circulation differed between the two groups. In the EVT group, improved collateral circulation was significantly associated with better outcomes [OR: 8.381, 95% confidence interval (CI): 2.120-46.695, P=0.006]. In the IVT + EVT group, improved collateral circulation was linked to better outcomes (OR: 3.157, 95% CI: 1.618-6.541, P=0.001), it was additionally associated with a higher mortality rate (OR: 0.334, 95% CI: 0.145-0.725, P=0.007), increased incidence of embolus escape (OR: 0.359, 95% CI: 0.130-0.894, P=0.033), and a reduced likelihood of mTICI 3 recanalization (OR: 0.460, 95% CI: 0.244-0.844, P=0.014). Conclusions: Better collateral circulation is associated with favorable 90-day outcomes in both EVT group and IVT + EVT group. However, in the IVT + EVT group better collateral circulation was also linked to a higher rate of mortality, increased incidence of embolus escape, and lower rate of mTICI 3 recanalization. This may suggest that AIS-LVO patients with better collateral circulation could benefit more from EVT alone. Future studies are warranted to confirm these findings.

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)0.001
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 score0.032
Threshold uncertainty score0.815

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.027
GPT teacher head0.309
Teacher spread0.282 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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