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Record W4406993715 · doi:10.1161/str.56.suppl_1.8

Abstract 8: Modified Rankin Score at 90 Days vs. NIH Stroke Scale at 24 Hours as Primary Outcome in Acute Stroke Trials

2025· article· en· W4406993715 on OpenAlexaff
Johanna M. Ospel, Scott Brown, Salome Bosshardt, Alexander Stebner, Kazutaka Uchida, Andrew M. Demchuk, Jeffrey L. Saver, Phil White, Keith T. Muir, Diederik W.J. Dippel, Charles B.L.M. Majoie, Tudor Jovin, Bruce Campbell, Peter Mitchell, Serge Bracard, Françis Guillemin, Michael D. Hill, Mayank Goyal

Bibliographic record

VenueStroke · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineModified Rankin ScaleStroke (engine)Acute strokeStroke recoveryClinical trialInternal medicinePhysical therapyIschemic strokeRehabilitationTissue plasminogen activatorIschemia

Abstract

fetched live from OpenAlex

Background: We investigate whether the NIHSS at 24 hours could serve as an alternative primary outcome measure in acute ischemic stroke trials, and whether combining 90-day modified Rankin Score (mRS) and 24-hour NIHSS in a hierarchical outcome could enhance detection of treatment effect, using EVT as an exemplary study intervention. Methods: Post-hoc analysis from the HERMES collaboration that pooled data from 7 randomized controlled EVT trials. Validity of 24-hour NIHSS as a surrogate outcome for 90-day mRS was assessed in a causal mediation model (Figure 1). A 7-point ordinal NIHSS score was generated by grouping 24-hour NIHSS, including death as a separate category (“ordinal” NIHSS). EVT effect sizes and sample sizes required for detecting EVT benefit with 80% power were compared when using granular 24-hour NIHSS, ordinal 24-hour NIHSS, 90-day mRS, and hierarchical outcome (win-ratio) that combines 90-day mRS and 24-hour NIHSS. Subgroup analyses were performed in patients with baseline NIHSS<10 and ≥25. Results: A total of 1720 patients were included. Median 90-day mRS in the EVT/control arms was 3.0(IQR:1.0-4.0)/4.0(IQR:2.0-5.0) and median 24-hour NIHSS was 9.0(IQR:3.0-17.0)/14.0(IQR:7.5-19.0), see Figure 2. 24-hour NIHSS mediated the association between EVT and 90-day mRS and met the criteria for a surrogate outcome. Effect sizes were highest and sample sizes required to detect EVT benefit smallest for the win ratio approach (228), followed by 90-day mRS(240) and ordinal 24-hour NIHSS(242), see Table 1. In subgroup analyses of patients with baseline NIHSS<10 and≥25, ordinal 24-hour NIHSS resulted in the highest effect size/ smallest sample size. Conclusion: 24-hour NIHSS may be a valid surrogate outcome for 90-day mRS in acute ischemic stroke patients undergoing EVT, with a similar EVT effect size compared to 90-day mRS. It could potentially enhance detection of EVT benefit in patient subgroups with very low or very high baseline NIHSS. Combining 90-day mRS and 24-hour NIHSS in an ordered hierarchical could improve detection of EVT treatment effect compared to 90-day mRS.

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)0.030
metaresearch head score (Gemma)0.037
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.970
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.037
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.008
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.003
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 head0.038
GPT teacher head0.317
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.

Study designObservational
DomainMethods
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".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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