ArticleJournal of thrombosis and thrombolysis2026
Evaluating the impact of frailty in older adults on functional outcomes post-mechanical thrombectomy: a multicentre study incorporating traditional and machine learning methods.
Article in Journal of thrombosis and thrombolysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
30 authors.
Funding
Abstract
Frailty is associated with high risk of mortality. Our study evaluated frailty as a predictor of outcomes in older adults with acute ischemic stroke treated with endovascular thrombectomy utilizing machine learning models. We conducted a multinational observational cohort study. Patients > 70 years-old treated with endovascular thrombectomy were eligible. The primary outcome was 90-day functional independence(FI). 674 patients were included, with frailty defined as Clinical Frailty Score(CFS) > 3. Univariate and multivariate analyses were performed. Predictive machine learning models were developed and evaluated, while values were computed for variable importance. A P-value of < 0.05 was considered statistically significant. On univariate analysis, age, race, diabetes mellitus, albumin, National Institute of Health Stroke Scale(NIHSS), Alberta Stroke Programme Early CT Score(ASPECTS), number of thrombectomy attempts(> 3), recanalization(> TICI 2B), and frailty were significantly associated with 90-day-FI. On logistic regression, NIHSS(adjusted OR: 1.105, 95% CI:1.03-1.11,P = 0.005), recanalization > TICI 2B(adjusted OR: 0.049,95% CI:0.005-0.522,P = 0.012), and frailty(adjusted OR: 13.451,95% CI:2.572-70.3,P = 0.002) were independently associated with 90-day FI. The Random Forest model achieved an AUROC of 0.82 with a Brier score of 0.129. Youden's J statistic yielded a best threshold of 0.63. Confidence intervals were estimated using a non-parametric bootstrap method(95% CI:0.735-0.915). Frailty had the highest feature importance and the second-highest Shapley value. The CFS is an effective prognostication tool for older adults undergoing endovascular thrombectomy. Models incorporating frailty demonstrate good predictive value. Further study involving larger cohorts may refine models that can be applied pre-procedurally to identify patients at risk of poor outcomes.
Indexed as
Identifiers
42435112What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.