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Record W2299190608 · doi:10.1161/str.43.suppl_1.a2777

Abstract 2777: Delayed Cerebral Infarction after Aneurysmal Subarachnoid Hemorrhage is Predictive of Neurological and Cognitive Outcomes, but not Quality of Life Outcomes

2012· article· en· W2299190608 on OpenAlexaboutno aff
George Kwok Chu Wong

Bibliographic record

VenueStroke · 2012
Typearticle
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineModified Rankin ScaleSubarachnoid hemorrhageStroke (engine)Cerebral infarctionProspective cohort studyObservational studyInfarctionClinical trialInternal medicineQuality of life (healthcare)IschemiaCardiologyPediatricsMyocardial infarctionIschemic stroke

Abstract

fetched live from OpenAlex

Background and purpose: In an attempt to resolve the inconsistency of results in aneurysmal subarachnoid hemorrhage clinical trials to reduce delayed cerebral ischemia and improve clinical outcome, an international panel has suggested future clinical trials to target the surrogate outcome of delayed cerebral infarction (dCI), based on studies on the prognostic value of dCI in neurological outcome. Few studies examined the prognostic values of dCI in cognitive and quality of life outcomes, which were considered to be more sensitive to the long term burden. Methods: Episode and 3-month outcome data of a 4-center Hong Kong prospective observational study are analyzed. dCI is defined as new cerebral infarction identified on computed tomography after exclusion of procedure-related infarctions. Delayed ischemic neurological deficit (DIND) is defined as clinical deterioration presumably caused by delayed cerebral ischemia after exclusion of other potential causes of clinical deterioration. Outcomes include modified Rankin Scale, Lawton Instrumental Activity of Daily Living, in-patient mortality, Montreal Cognitive Assessment, Mini-Mental State Examination, Stroke-specific Quality of Life Scale, Short Form-36. Relationships of delayed cerebral infarction or delayed ischemic neurological deficit with outcomes are examined using nonparametric Kendall’s rank correlation (tau). The study is registered in ClinicalTrials.gov, U.S. National Institute of Health ( NCT01038193 ). Results: One hundred and fifty-eight patients are included in the current study. Age (mean+/-SD) are 54+/-11 years. Admission WFNS grade is I to II, III to IV, and V in 68%, 18%, and 14% of patients respectively. Fisher CT grade is III in 47% of patients while intraventricular hemorrhage and/or intracerebral hematoma are present in 52% of patients. dCI and/or DIND are present in 26% of patients. dCI is significantly correlated with modified Rankin Scale, in-patient mortality, Montreal Cognitive Assessment, and Mini-Mental State Examination, but not Stroke-specific Quality of Life Scale and Short Form-36. Presence of DIND is significantly correlated with modified Rankin Scale and Lawton Instrumental Activity of Daily Living, but not with cognitive and quality of life outcomes. Conclusion: Delayed cerebral infarction can act as surrogate outcome for both neurological and cognitive outcomes. However, the lack of correlations to both generic and disease-specific quality of life measures suggest that some significant outcome determinants of aneurysmal subarachnoid hemorrhage, such as neuropsychiatric outcomes, cannot be captured by dCI alone and should be further investigated. Moreover, delayed cerebral infarction after aneurysmal subarachnoid hemorrhage and ischemic stroke may carry different pathophysiological meanings.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.025
GPT teacher head0.286
Teacher spread0.261 · 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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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