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Record W3217664806 · doi:10.1684/epd.2021.1379

Beyond neonatal seizures ‐ epileptic evolution in preterm newborns: a systematic review and meta‐analysis

2022· review· en· W3217664806 on OpenAlexfundno aff
Raffaele Falsaperla, Laura Mauceri, Milena Motta, Giovanni Prezioso, Martino Ruggieri, Francesco Pisani

Bibliographic record

VenueEpileptic Disorders · 2022
Typereview
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsEpilepsyMedicinePediatricsMeta-analysisGestational ageCohort studyEpileptogenesisWeb of sciencePregnancyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the potential risk of developing epilepsy in preterm newborns with neonatal seizures (NS). Two electronic databases (PubMed and Web of Sciences) were searched from inception to December 2020. Studies that investigated the outcome of epilepsy in neonates with NS were included. METHODS: Case-control, cross-sectional and cohort studies were included. Data synthesis was undertaken via systematic review and meta-analysis of available evidence. All review stages were conducted by three independent reviewers. We analysed data on neonates with NS who developed post-neonatal epilepsy (PNE) based on the data reported in the selected articles. We then investigated the development of PNE in term and preterm neonates. RESULTS: The initial search led to 568 citations, of which 12 were selected for the review and six were eligible for meta-analysis. Results of the meta-analysis showed no significant difference in the risk of developing PNE between full-term infants with NS (pooled OR [pOR]=0.92: 95% CI: 0.58-1.44) and preterm neonates. SIGNIFICANCE: Gestational age does not seem to be an independent predictor for the development of PNE in neonates with NS. More data are needed to explore the relationship between seizures in the neonatal period and epilepsy later in life.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.892
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0110.003
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.305
Teacher spread0.279 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations5
Published2022
Admission routes1
Has abstractyes

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