MétaCan
Menu
Back to cohort

Muscle weakness in critically ill children

2003· article· en· W2162692790 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNeurology · 2003
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsSickKids Foundation
FundersHospital for Sick Children
KeywordsMedicineWeaknessMuscle biopsyMuscle weaknessSepsisMyopathyIntensive care unitCritically illNeuromuscular transmissionIncidence (geometry)PediatricsIntensive care medicineSurgeryAnesthesiaBiopsyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To establish the incidence of muscle weakness in critically ill children. METHODS: Neuromuscular examinations were performed in 830 children without identified antecedent or acute neuromuscular disease (age 3 months to 17 years 11 months) admitted for >24 hours to a pediatric intensive care unit (ICU) over a 1-year period. RESULTS: Fourteen of 830 (1.7%) patients had generalized weakness. Four failed repeated attempts to extubate. Multiple organ dysfunction occurred in 11 patients and sepsis in 9. Most children received corticosteroids, neuromuscular blocking agents, or aminoglycoside antibiotics. Eight of the 14 children were solid organ or bone marrow transplant recipients. Muscle biopsy showed evidence of acute quadriplegic myopathy in all three patients in whom biopsy was performed. Three patients died. In survivors, significant weakness persisted for 3 to 12 months following ICU discharge. CONCLUSIONS: Muscle weakness is an infrequent but significant feature of critical illness in children. Transplant recipients seem to be at particular risk.

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.

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)0.000
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.256
Teacher spread0.247 · 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