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MISTIE III: a big step in the right direction

2019· article· en· W2924513762 on OpenAlexaboutno aff
Christopher P. Kellner, Adam S Arthur, Mark Bain, David Fiorella, J Mocco

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicIntracerebral and Subarachnoid Hemorrhage Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRandomizationCraniotomySurgeryClinical endpointIntracerebral hemorrhageRandomized controlled trialClinical trialStroke (engine)Modified Rankin ScaleHematomaIschemic strokeInternal medicineGlasgow Coma Scale

Abstract

fetched live from OpenAlex

On February 7 the results of phase 3 of the Minimally Invasive Surgery Plus rt-PA for Intracerebral Hemorrhage Evacuation (MISTIE III) trial were published in the Lancet .1 The trial did not reach its primary endpoint of improved functional outcome at 1 year. It did, however, generate a wealth of high-quality data that provide invaluable insight into this devastating disease. MISTIE III was an open-label blinded endpoint trial performed at 78 hospitals in the USA, Canada, Europe, Australia, and Asia that randomized (1:1) 506 patients to minimally invasive surgery or standard medical treatment. Eligible patients presented with a hematoma measuring ≥30 mL, a National Institutes of Health Stroke Scale score ≥6, good baseline status, a CT angiogram negative for an underlying lesion, and a repeat CT demonstrating clot volume stability for at least 6 hours. Average time to randomization was 47 hours in the surgical group and 46 hours in the medical group. The average time to surgery was 58.3 hours with an average procedural duration of 1 hour. Clinical deterioration led to craniotomy or craniectomy in four 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.298
Teacher spread0.263 · 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 teacher head, not a consensus.

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".

Quick stats

Citations15
Published2019
Admission routes1
Has abstractyes

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