MétaCan
Menu
Back to cohort
Record W2242064632 · doi:10.1161/str.43.suppl_1.a3277

Abstract 3277: Initial Stroke Severity Measured by Pediatric NIH Stroke Scale Predicts 12-month Outcome in Children

2012· article· en· W2242064632 on OpenAlexaff
Rebecca Ichord, Rachel A Bastian, Lisa Abraham, Susan Benedict, Timothy J. Bernard, Lauren A. Beslow, Gabrielle de Veber, Michael M. Dowling, Neil Friedman, Heather J. Fullerton, Lori C. Jordan, Kan Li, Scott E. Kasner, Adam Kirton, Catherine Amlie‐Lefond, Daniel J. Licht, Warren Lo, Chalmer McClure, Steve Pavlakis, Sabrina E. Smith, Abbas F. Jawad

Bibliographic record

VenueStroke · 2012
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsAlberta Children's Hospital
Fundersnot available
KeywordsMedicineStroke (engine)Pediatric strokePediatricsCohortProspective cohort studyClinical trialInternal medicinePhysical therapyIschemic strokeIschemia

Abstract

fetched live from OpenAlex

Background: Stroke is an important cause of death and disability among children. Clinical trials for childhood stroke will require a valid acute clinical stroke scale. We evaluated predictive validity of a pediatric adaptation of the NIH Stroke Scale, (PedNIHSS). Methods: The PedNIHSS was developed by modifying the adult NIHSS for administration in children. Children 2-18 yrs with acute arterial ischemic stroke were enrolled in a prospective cohort study from 15 North American sites Jan 2007-Oct 2009. Examiners were child neurologists experienced in pediatric stroke, certified in the NIHSS and trained in using the PedNIHSS. Each subject was examined daily for 7 days or until discharge. Outcome at 3 and 12 months was assessed with the Pediatric Stroke Outcome Measure (PSOM). Associations were evaluated using Pearson rank correlation and simple linear regression. Data are mean±SD or median(IQR). Results: Among 112 children enrolled, mean age was 10.3±5.3 yr, 60% were male. Stroke mechanism was vasculopathy in 32%, cardioembolic in 30%, other in 17%, and unknown in 21%. Infarcts were in the anterior circulation in 66%, posterior circulation in 26%, both in 8%. Median time from symptom onset to initial PedNIHSS exam was 28 hrs (IQR 18-53). Median initial PedNIHSS score was 6 (IQR 3-13) and maximum 7 (IQR 3-14). Three (3%) children died, and were excluded from further analysis. Outcome data was available in 102(90%) at 3 months and 81(72%) at 12 months. Median PSOM was 1.0 (IQR 0.5-2.5) at 3 months, and 1.0 (IQR 0-2.5) at 12 months. Outcome at 12 months was good (PSOM 0-0.5) in 32/81(40%), moderate (PSOM 1.0-2.0) in 27/81(33%), and severely impaired (PSOM>2.0) in 22/81 (27%). Initial PedNIHSS score significantly predicted global deficits on PSOM at 3 (Adj R 2 =0.32, p<.0001) and 12 months (Adj R 2 =0.26, p<.0001). Maximum PedNIHSS score also significantly predicted PSOM at 3 (Adj R 2 =0.41, P<.0001) and 12 months (Adj R 2 =0.36, P<.0001).( Fig ). Conclusion: Initial stroke severity in children measured by the PedNIHSS is predictive of 3- and 12-month outcome.

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)0.003
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 score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.284
Teacher spread0.255 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueStrokeSame topicBlood Coagulation and Thrombosis MechanismsFrench-language works237,207