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Neonatal brain injury

2001· review· en· W2324297481 on OpenAlexaff
Haresh Kirpalani, Elizabeth Asztalos

Bibliographic record

VenueCurrent Opinion in Pediatrics · 2001
Typereview
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineIntensive care medicineModalitiesEtiologyChorioamnionitisMagnetic resonance imagingTherapeutic modalitiesNeurosciencePathologyPhysical therapyPregnancyRadiologyPsychology

Abstract

fetched live from OpenAlex

Complacency about long-term outcomes in newborns is being eroded rapidly with new information. We have examined developments in the area from an explicitly clinical approach, focusing on etiology, diagnostic modalities, and therapies. We attempt to discuss relevance from the preterm and the term perspective. Emerging evidence implicating chorioamnionitis as a significant contributor to neonatal brain injury is discussed. Therapeutic modalities such as magnetic resonance imaging and electrophysiological monitoring offer some potentially new tools for the clinician. An exploding series of basic advances suggest several potentially new strands of therapy. We discuss two that deserve further clinical exploration, namely anti-inflammatory strategies and thread hormone supplementation. In the arena of therapy, however, the paucity of large trials from which to guide therapies is a predominant theme, leaving a large reservoir of uncertainty for the clinician.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.956
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.001

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 head0.219
GPT teacher head0.516
Teacher spread0.297 · 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 designNot applicable
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

Citations3
Published2001
Admission routes1
Has abstractyes

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