ArticleBMJ open2025
Predictive factors for very poor outcomes after endovascular thrombectomy in anterior circulation large vessel occlusion: a multicentre retrospective study in China.
Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06290076 (A Predictive Model and Scoring System for Severe Complications After Endovascular Thrombectomy), which is not on this map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Predictive Model and Scoring System for Severe Complications After Endovascular Thrombectomy: a Retrospective, Multicenter, Observational Study
Who cites it
4 citing papers in PubMed.
- Association of the C-Reactive Protein-Triglyceride-Glucose Index with Stroke-Heart Syndrome and Clinical Prognosis in Patients Undergoing Endovascular Treatment.Journal of cardiovascular development and disease · 2026Article
- Intravenous Thrombolysis Preceding Mechanical Thrombectomy in Patients with Acute Ischemic Stroke Reduces the Inflammatory Response: Preliminary Results Based on Retrospective Analysis of Medical Documentation.Journal of clinical medicine · 2026Article
- FIB-4 Index, Systemic Inflammation, and Troponin Trajectory After Endovascular Thrombectomy in Older Patients with Large-Vessel Occlusion Stroke.Clinical interventions in aging · 2026Article
- A novel nutritional index for predicting stroke-heart syndrome and clinical outcomes after endovascular treatment.Frontiers in nutrition · 2026Article
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aims to investigate the predictors of very poor outcomes in patients with acute ischaemic stroke due to large vessel occlusion after successful endovascular thrombectomy.
design
settingData were derived from tertiary care facilities in five cities of China.
participantsThis study included 1242 patients with anterior circulation large-vessel occlusion who underwent endovascular thrombectomy, and they were stratified by 90-day modified Rankin Scale (mRS) scores into a very poor outcome group (mRS 5-6) and a non-very poor outcome group (mRS 0-4). PRIMARY OUTCOME MEASURES: The primary outcome was very poor outcomes. Data from 1242 patients were analysed for demographic, laboratory, imaging and perioperative data.
resultsAmong the 1242 recruited patients, 318 (25.60%) exhibited very poor outcomes. In multivariate analysis, predictors of very poor outcomes were higher age (OR 1.059, 95% CI 1.043 to 1.075, p<0.001), stroke history (OR 1.993, 95% CI 1.373 to 2.888, p<0.001), coronary heart disease history(CHD;OR=1.816,95% CI 1.291-2.552,P=0.001),higher baseline National Institute of Health Stroke Scale (NIHSS; OR 1.076, 95% CI 1.054 to 1.099, p<0.001), higher neutrophil count (OR 1.078, 95% CI 1.025 to 1.134, p=0.003), lower Alberta Stroke Program Early CT Score (ASPECTS; OR 0.901, 95% CI 0.845 to 0.962, p=0.002), higher malignant cerebral oedema (MCE, OR 3.246,95% CI 2.241 to 4.713, p<0.001) and symptomatic intracranial haemorrhage (sICH, OR 3.97, 95% CI 2.569 to 6.169, p<0.001) and receiving intravenous thrombolysis (IVT, OR = 0.600,95% CI 0.431-0.830, P =0.002) . The predictive model demonstrated a certain degree of accuracy (area under the curve 0.839, 95% CI 0.813 to 0.864).
conclusionsThe very poor outcomes were associated with advanced age, CHD history, stroke history, high NIHSS score, high neutrophil count, low ASPECTS and presence of MCE and sICH, while receiving intravenous thrombolysis was a protective factor. These poor outcome predictors might play a crucial role in informing clinical decision-making. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov (NCT06290076); pre-results.
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