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Cerebral Palsy After Neonatal Encephalopathy

2015· article· en· W3037893383 on OpenAlexaffabout
Jarred Garfinkle, Pia Wintermark, Michael Shevell, Robert W. Platt, Maryam Oskoui

Bibliographic record

VenueObstetrical & Gynecological Survey · 2015
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsMedicineCerebral palsyHypothermiaRandomized controlled trialPediatricsNeonatal encephalopathyEncephalopathyGestationNeuroprotectionPregnancyPhysical therapyAnesthesiaSurgeryInternal medicine

Abstract

fetched live from OpenAlex

In neonates with moderate or severe neonatal encephalopathy (NE), therapeutic hypothermia or “cooling” has been effective as a neuroprotective intervention in patients who meet eligibility criteria. There is hope that cooling might reduce the frequency of cerebral palsy (CP) in neonates with NE born at full term. However, there is no strategy for neuroprotection of neonates born at term with NE who do not meet eligibility criteria for therapeutic hypothermia. This study aimed to gauge the proportion of CP cases after NE that could be prevented with hypothermia treatment and to also explain the perinatal factors associated with CP after NE in patients who do not meet criteria for cooling. This study used data from the Canadian Cerebral Palsy Registry, which included children at least 2 years old who met current criteria for CP. Criteria for hypothermia treatment eligibility came from the Position Statement of the Canadian Paediatric Society and the National Institute of Child Health and Human Development randomized controlled trial of therapeutic hypothermia. To investigate variables that might separate infants who meet cooling criteria from those who do not, a series of factors (maternal, paternal, postnatal, and placental) were compared. Previous meta-analysis of randomized controlled trials found the number needed to treat to prevent 1 case of CP was 8, which was therefore used in this analysis. Of the 1001 patients enrolled in the Canadian Cerebral Palsy Registry between 1999 and 2011, 155 were 36 weeks’ gestation or greater, with a birth weight of 1800 g or greater and had moderate or severe NE. Of this cohort, 64 (41%) met cooling criteria, and 91 (59%) did not. Thirteen neonates were actually cooled: 11 who met cooling criteria (17%) and 2 who did not (2%). All 13 neonates who were cooled were born in or after 2009. In the cohort, children who met cooling criteria were more likely to have hypotonia than children who did not (P = 0.02). Between the 2 groups, there were no significant differences in antenatal maternal or paternal variables. In the group that met cooling criteria, signs of perinatal distress, including cesarean delivery, low pH, low Apgar score, or resuscitation at birth, were significantly more common (P < 0.0001). In the group that did not meet cooling criteria, shoulder dystocia was more common than in those who did meet the criteria (odds ratio, 8.8; 95% confidence interval, 1.1–71.4). Hypothermia could prevent term CP after NE in an estimated 5.1% of cases (95% confidence interval, 2.4%–6.9%). To reduce the burden of CP, it is imperative to have a better understanding of the antenatal processes underlying NE.

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)0.001
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.052
GPT teacher head0.285
Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

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".

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Citations0
Published2015
Admission routes2
Has abstractyes

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