Evidence map›Paper›PMID 40353608›Full record

Observational studyEuropean journal of neurology2025

Age-Specific Differences in Inflammatory Biomarkers and Their Impact on Futile Recanalization After Mechanical Thrombectomy: An Inverse Probability Weighting Analysis.

Gabriele Prandin, Mariarosaria Valente, Liqun Zhang, Paresh Malhotra, Simona Sacco, Matteo Foschi, Raffaele Ornello, Edoardo Pirera, Francesco Toraldo, Domenico Maisano and 14 more

Abstract readObservational StudyMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in European journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Systemic inflammatory profiles associated with early EEG abnormalities following ischemic stroke: a cohort study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Observational
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Gabriele PrandinClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Trieste, Italy.ORCID 0000-0002-5698-4737
Mariarosaria ValenteStroke Unit, Udine University Hospital, Udine, Italy.
Liqun ZhangDepartment of Neurology, St George's University of London, London, UK.
Paresh MalhotraDepartment of Brain Sciences, Imperial College London, London, UK.
Simona SaccoDepartment of Biotechnological and Applied Clinical Sciences, University of L'aquila, L'Aquila, Italy.
Matteo FoschiDepartment of Biotechnological and Applied Clinical Sciences, University of L'aquila, L'Aquila, Italy.
Raffaele OrnelloDepartment of Biotechnological and Applied Clinical Sciences, University of L'aquila, L'Aquila, Italy.ORCID 0000-0001-9501-4031
Edoardo PireraInternal Medicine and Stroke Care Ward, Department of Promoting Health, Maternal-Infant, Excellence and Internal and Specialized Medicine (ProMISE) "G. D'alessandro", University of Palermo, Palermo, Italy.
Francesco ToraldoStroke Unit, Udine University Hospital, Udine, Italy.
Domenico MaisanoStroke Unit, Udine University Hospital, Udine, Italy.
Caterina Del RegnoStroke Unit, Udine University Hospital, Udine, Italy.
Filippo KomauliStroke Unit, Udine University Hospital, Udine, Italy.
Adelaida Gartner JaramilloDepartment of Neurology, St George's University of London, London, UK.
Hakam Al-KaradshehDepartment of Neurology, St George's University of London, London, UK.
Hamza ZahidDepartment of Neurology, St George's University of London, London, UK.
Piers KleinDepartment of Neurology, Radiology, Boston Medical Center, Boston, Massachusetts, USA.ORCID 0000-0001-7468-137X
Mohamad AbdalkaderDepartment of Neurology, Radiology, Boston Medical Center, Boston, Massachusetts, USA.ORCID 0000-0002-9528-301X
Paolo ManganottiClinical Unit of Neurology, Department of Medicine, Surgery and Health Sciences, University Hospital and Health Services of Trieste, ASUGI, University of Trieste, Trieste, Italy.ORCID 0000-0001-5305-6268
Kyriakos LobotesisNeuroradiology, Department of Imaging, Charing Cross Hospital, Imperial College London, NHS Healthcare Trust, London, UK.
Thanh N NguyenDepartment of Neurology, Radiology, Boston Medical Center, Boston, Massachusetts, USA.
Soma BanerjeeDepartment of Brain Sciences, Imperial College London, London, UK.
Gian Luigi GigliClinical Neurology, Udine University Hospital and DMED, University of Udine, Udine, Italy.
Giovanni MerlinoStroke Unit, Udine University Hospital, Udine, Italy.
Lucio D'AnnaDepartment of Brain Sciences, Imperial College London, London, UK.ORCID 0000-0002-4349-3322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMechanical thrombectomy (MT) is the standard treatment for large vessel occlusion (LVO) stroke. However, a substantial proportion of patients experience poor functional outcomes despite successful reperfusion, namely futile recanalization (FR). This study aimed to evaluate the predictive value of inflammatory biomarkers, measured on admission and at 24 h, in identifying the risk of FR and to assess age-specific differences influencing this outcome.

methodsThis international, multicenter, observational study included patients with anterior circulation LVO stroke treated with MT. Strict inclusion criteria were applied to minimize confounding factors related to inflammation. Inflammatory biomarkers were assessed at admission and 24 h post-procedure. Inverse probability weighting (IPW) was utilized to balance baseline characteristics between patients with FR and effective recanalization (ER). Least absolute shrinkage and selection operator (LASSO) regression was applied to identify independent predictors, and restricted cubic splines were used to determine optimal biomarker cut-offs.

resultsAmong 885 patients, 470 (53%) experienced FR. In multivariate analysis, 24-h CRP (OR 1.01, 95% CI 1.01-1.02, p = 0.018) and 24-h NLR (OR 1.11, 95% CI 1.02-1.22, p = 0.019) were significant predictors of FR, with cut-offs of 8.55 and 4.58, respectively. In patients aged < 80 years, 24-h CRP and NLR were most predictive (cut-offs: 17.09 and 5.59). In patients aged ≥ 80 years, admission SIRI emerged as the most significant predictor (OR 1.24, 95% CI 1.06-1.50, p = 0.015), with an optimal cut-off value of 2.53.

conclusionsInflammatory biomarkers exhibit significant predictive value for FR following MT, with distinct age-specific patterns. These findings underscore the importance of tailoring predictive models and interventions to optimize clinical outcomes.

Indexed as

InflammationIschemic StrokeMedical FutilityThrombectomyAgedAged, 80 and overAge FactorsBiomarkersC-Reactive ProteinFemaleHumansMaleMiddle AgedBiomarkersC-Reactive Proteinfutile recanalizationintravenous thrombolysismechanical thrombectomy

Identifiers

PMID40353608
PMCPMC12067390

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Registered trials

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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.