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Abstract 4144305: Comparison of Transradial Versus Transfemoral Access in Mechanical Thrombectomy for Acute Ischemic Stroke: A Systematic Review and Meta-Analysis

2024· review· en· W4404359267 on OpenAlexaboutno aff
Laveeza Fatima, Mushood Ahmed, Eeshal Zulfiqar, Muhammad Daoud Tariq, Sonia Hurjkaliani, Fiza Mushtaq, Adeel Ahmad, Asad Ur Rahman, Raheel Ahmed

Bibliographic record

VenueCirculation · 2024
Typereview
Languageen
FieldMedicine
TopicVascular Procedures and Complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStroke (engine)Ischemic strokeCardiologyMeta-analysisInternal medicineSurgeryIschemia

Abstract

fetched live from OpenAlex

Background and Purpose: Transfemoral access (TFA) has been the standard for neuro-interventional procedures, but it carries risks such as pseudoaneurysm formation and arterial occlusion. Transradial access (TRA) is a newer alternative that may reduce these complications. This study aims to compare the clinical outcomes of TRA versus TFA in mechanical thrombectomy (MT) for acute ischemic stroke (AIS). Methods: A systematic review and meta-analysis was conducted following PRISMA guidelines. Databases searched included PubMed/MEDLINE, Cochrane Library, and Google Scholar up to April 7, 2024. A random-effects model was used for analysis, and study quality was assessed using the Newcastle-Ottawa Scale and Cochrane Risk of Bias (RoB 2) tool. Results: The search identified 1389 records, and 13 studies (12 observational, 1 RCT) with 4803 patients (TRA: 855, TFA: 3948) were included. TRA showed no significant difference in successful recanalization (TICI 2b-3) compared to TFA [RR: 0.98; 95% CI: 0.94 – 1.03]. Complete recanalization (TICI 3) was also similar [RR: 1.08; 95% CI: 0.96 – 1.21]. Fluoroscopy time, reported by four studies, showed no significant difference [RR: -1.76; 95% CI: -7.54 – 4.02]. Hospital stay duration from three studies was comparable [MD: -0.52; 95% CI: -1.25 – 0.21]. The access-to-perfusion time reported by ten studies showed no significant difference [MD: -1.70; 95% CI: -8.11 – 4.72]. The mean number of passes from eight studies showed no significant difference [MD: 0.10; 95% CI: -0.06 – 0.27]. Procedural complications were lower in the TRA group but not statistically significant [6.09% vs. 8.77%, RR: 0.71; 95% CI: 0.46 – 1.09]. TRA had significantly fewer access site complications [RR: 0.23; 95% CI: 0.08 – 0.62]. Symptomatic intracranial hemorrhage from seven studies showed no significant difference [RR: 1.0; 95% CI: 0.72 – 1.38]. NIHSS score at discharge showed no significant difference [MD: 1.31; 95% CI: -2.14 – 4.76]. In-hospital mortality from two studies showed no significant difference [RR: 0.56; 95% CI: 0.26 – 1.20]. Ninety-day mortality from three studies showed no significant difference [RR: 1.15; 95% CI: 0.98 – 1.36]. Conclusion: TRA is as effective as TFA for MT in AIS and significantly reduces the risk of access site complications. Further large-scale RCTs are warranted to confirm these findings and refine the clinical guidelines for optimal access strategy in neuro-interventional procedures.

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)0.010
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.022
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.024
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0220.039
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.230
GPT teacher head0.469
Teacher spread0.239 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations0
Published2024
Admission routes1
Has abstractyes

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