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Record W4319006573 · doi:10.1161/str.54.suppl_1.tmp22

Abstract TMP22: Exploring The Impact Of Material Deprivation, Clinical, And Radiological Features On Neurological Outcomes Of Neonatal Stroke

2023· article· en· W4319006573 on OpenAlexaffabout
Madeleine Mary Rak Harris, Akshat Pai, Daniel Nichol, Scherazad Musaphir, Sujatha Parthasarathy, Mahmoud Slim, Daune MacGregor, Ishvinder Bhathal, Mahendranath Moharir, Gabrielle deVeber, Nomazulu Dlamini

Bibliographic record

VenueStroke · 2023
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicinePediatric strokeStroke (engine)HemiparesisPediatricsLogistic regressionPopulationPhysical therapyInternal medicineIschemic strokeAngiographyIschemia

Abstract

fetched live from OpenAlex

Introduction: Neonatal arterial ischemic stroke (AIS) is an important cause of neurologic disability in children. No research to date has examined the influence of determinants of health on outcomes in a neonatal AIS population. This study examined whether neighbourhood-level material deprivation was associated with long-term neurological outcomes in neonatal AIS patients, after accounting for the influence of clinical and radiological factors. Methods: Patients with neonatal AIS between 2004 and 2019 at a comprehensive stroke centre were included. The Ontario Marginalization Index (ON-Marg) was used to assess neighbourhood-level material deprivation. Participant postal codes were linked to census data and ON-Marg scores were reported. Neurological outcomes were assessed using the Pediatric Stroke Outcome Measure Severity Classification Scale (PSOM-SCS) at latest follow up (median = 49 months, range = 12 to 187 months). A poor outcome was defined as any neurologic deficit (i.e., mild, moderate, or severe). Univariable and multivariable logistic regression models were developed. Results: Amongst 154 participants, the majority of scores (66.23%) were within the normal range. Remaining participants demonstrated neurological deficits, including 25.97% mild and 7.79% moderate-to-severe. Predictors of poor outcome in the multivariable model included hemiparesis at stroke presentation (OR = 12.81, p < 0.05) and basal ganglia involvement (OR = 3.68, p < 0.05). Neighbourhood-level material deprivation was not significantly associated with poor outcome. Conclusions: Hemiparesis and basal ganglia involvement are important in determining long-term outcomes. Although material deprivation was not associated with poor outcomes in our study, it may be associated with neurological outcomes at later ages. Further research is needed to understand the role of socioeconomic factors in a neonatal stroke population, including the measurement of individual-level indicators and outcomes at later ages post-stroke. While outcomes after neonatal stroke are generally favourable, identifying predictors of poor outcomes may assist clinicians in developing a more precise risk evaluation regarding recovery after stroke.

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)0.010
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 score0.051
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.069
GPT teacher head0.349
Teacher spread0.280 · 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

Citations1
Published2023
Admission routes2
Has abstractyes

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