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Record W4410049817 · doi:10.1177/23969873251334271

National trends in patient characteristics, interventional techniques and outcomes of endovascular treatment for acute ischaemic stroke: Final results of the MR CLEAN Registry (2014–2018)

2025· article· en· W4410049817 on OpenAlexaff
Wouter H. Hinsenveld, Josje Brouwer, Sanne J. den Hartog, Agnetha A.E. Bruggeman, Manon Kappelhof, Ivo G.H. Jansen, Maxim J.H.L. Mulder, Kars C.J. Compagne, Robert‐Jan B. Goldhoorn, Hester F. Lingsma, Geert J. Lycklama à Nijeholt, Rob A.R. Gons, Lonneke S.F. Yo, Maarten Uyttenboogaart, Reinoud P.H. Bokkers, H. Bart van der Worp, Rob H. Lo, Wouter J. Schonewille, Paul J.A.M. Brouwers, Tomas Bulut, Jasper M. Martens, Frederick J. A. Meijer, Boudewijn AAM van Hasselt, Heleen den Hertog, Sebastiaan F. de Bruijn, Lukas C. van Dijk, Marianne AA van Walderveen, Marieke J.H. Wermer, Hieronymus D. Boogaarts, Ewoud J. van Dijk, Julia H. van Tuijl, Issam Boukrab, Tobien H.C.M.L. Schreuder, Roel J.J. Heijboer, Anouk D. Rozeman, Ludo F.M. Beenen, Alida A. Postma, Albert J. Yoo, Stefan D. Roosendaal, Jeannette Bakker, Adriaan CGM van Es, Sjoerd F.M. Jenniskens, Ido R. van den Wijngaard, Menno Krietemeijer, René van den Berg, Joost Bot, Sebastiaan Hammer, Marieke E.S. Sprengers, Miou S. Koopman, Elyas Ghariq, Auke P.A. Appelman, Anouk van der Hoorn, Marc P. van Proosdij, Bas FW van der Kallen, Olvert A. Berkhemer, Jeroen E Markenstein, Eef J. Hendriks, Jo PP Peluso, Christiaan van der Leij, Lucas Smagge, Saman Vinke, Sjoert Pegge, Wouter Dinkelaar, Jan Albert Vos, Jelis Boiten, Inger de Ridder, Jonathan M. Coutinho, Bart J. Emmer, Pieter Jan van Doormaal, Bob Roozenbeek, Yvo B.W.E.M. Roos, Charles B.L.M. Majoie, Diederik W.J. Dippel, Aad van der Lugt, Wim H. van Zwam, Robert van Oostenbrugge

Bibliographic record

VenueEuropean Stroke Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsToronto Western HospitalUniversity Health Network
FundersErasmus Medisch CentrumMaastricht Universitair Medisch CentrumAmsterdam University Medical Centers
KeywordsMedicineModified Rankin ScaleStroke (engine)Ischaemic strokeInternal medicineOdds ratioSurgeryIschemic strokeIschemia

Abstract

fetched live from OpenAlex

INTRODUCTION: Endovascular thrombectomy (EVT) procedures and workflow have evolved over the years. We examined trends in patient characteristics, EVT techniques and outcomes over 5 years in the Netherlands. PATIENTS AND METHODS: Data from the MR CLEAN Registry (2014-2018) were analysed, including patients treated with EVT for anterior circulation acute ischaemic stroke (AIS). Patients were grouped by year of inclusion except for the linear regression analysis where the inclusion date was used. Baseline predicted probability of poor outcome (modified Rankin Scale (mRS) score 3-6) was calculated using a validated prediction model. Primary outcome was mRS score at 90 days. Secondary outcomes included workflow times, EVT techniques, successful reperfusion (eTICI ⩾ 2B) and symptomatic intracranial haemorrhage (sICH). Time trends were analysed using multivariable regression models (adjusted common odds ratios (acOR) per year). RESULTS: = 0.06). Over time, functional outcomes improved (acOR 1.14 per year, 95%CI: 1.09-1.20); mortality decreased (aOR 0.88 per year, 95%CI: 0.83-0.94). EVT under local anaesthesia increased (from 46% in 2014 to 70% in 2018; aOR 1.15, 95%CI: 1.10-1.22), as did use of direct aspiration (13%-36%; aOR 1.43, 95%CI: 1.35-1.53). Successful reperfusion became more frequent (aOR 1.32 per year, 95%CI: 1.25-1.40), despite needing more attempts (1 in 2014 vs 2 in 2018, aOR 0.93 per year, 95%CI: 0.89-0.98). Incidence of sICH remained unchanged (5% vs 5%, aOR 0.99 per year, 95%CI: 0.89-1.09). Time from emergency room to groin puncture reduced by 7 min per year (95%CI: 5-8). DISCUSSION AND CONCLUSION: Enhanced workflow and increased EVT experience may have led to shorter time to treatment and more frequent successful reperfusion, with better functional outcomes over 5 years, despite treating older, more dependent patients.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.050
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.022
GPT teacher head0.301
Teacher spread0.279 · 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 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".

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Citations7
Published2025
Admission routes1
Has abstractyes

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