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Record W3176115113 · doi:10.1161/str.51.suppl_1.75

Abstract 75: Hemorrhagic Transformation After Acute Ischemic Stroke Due to a Large Vessel Occlusion is Associated With Less Treatment Benefit

2020· article· en· W3176115113 on OpenAlexaff
Katinka R. van Kranendonk, Manon Kappelhof, Vicky Chalos, Kilian M. Treurniet, Wim H. van Zwam, Robert J. van Oostenbrugge, Hester F. Lingsma, Diederik W.J. Dippel, Aad van der Lugt, Peter Mitchell, Michael D. Hill, Tudor G. Jovin, Antoni Dávalos, Bruce Campbell, Jeffrey L. Saver, Phil White, Serge Bracard, Françis Guillemin, Andrew M. Demchuk, Scott Brown, Keith W. Muir, Yvo B.W.E.M. Roos, Henk A. Marquering, Mayank Goyal, Charles B.L.M. Majoie

Bibliographic record

VenueStroke · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineModified Rankin ScaleConfoundingStroke (engine)Logistic regressionInternal medicineIntracerebral hemorrhageComplicationRandomized controlled trialIschemic strokeIschemiaSubarachnoid hemorrhage

Abstract

fetched live from OpenAlex

Introduction: Intracranial hemorrhage after acute ischemic stroke patients manifests as natural progression or as a complication of treatment with potential subsequent neurological deterioration. Currently it is unclear whether these hemorrhagic transformations (HT) contribute to the poorer functional outcomes observed in patients with large infarcts. The purpose of this study is to assess the association of HT with follow-up infarct volume (FIV) and functional outcome at 90 days after AIS. Additionally, we determined whether the development of HT was associated with a diminished endovascular therapy (EVT) effect. Methods: All patients from the HERMES collaboration with follow-up imaging were included. HERMES is pooled data from seven randomized controlled trials that assessed the efficacy and safety of EVT compared to usual care. Patients with HT were identified according to the ECASS classification and FIV was assessed on CT or MRI. Infarct and hemorrhage were included in the FIV. We assessed functional outcome using the modified Rankin Scale 90 days after stroke onset. Ordinal logistic regression with adjustment for potential confounders was used to determine the association of HT and FIV with functional outcome. Results: Of all included patients with follow-up imaging (n=1665), 42% had HT (n=698). Before and after adjustment for confounders HT and FIV were associated with a shift in the direction of poorer functional outcome (aOR:0.71,95%CI:0.58-0.86 and aOR:0.99,95%CI:0.99-0.99). EVT was beneficial in patients with and without HT, but effect was greater in patients without (aOR:1.70,95%CI:1.27-2.28 vs. aOR:2.51,95%CI:1.97-3.20)(figure 1.) Conclusions: In this analysis, patients with HT after AIS were less likely to have good functional outcome compared to those without HT, independent of the FIV. While the EVT effect was slightly diminished in patients who developed HT, EVT was always of significant benefit.

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)0.028
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: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.028
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.006
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.013
GPT teacher head0.244
Teacher spread0.231 · 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
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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