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Record W2897043054

Retinopathy of Prematurity and Multiple Postnatal Infections in Preterm Neonates: Delays in White Matter Development with Poorer Neurodevelopmental Outcomes

2018· dissertation· en· W2897043054 on OpenAlexfundno aff
Torin Glass

Bibliographic record

VenueTSpace (University of Toronto) · 2018
Typedissertation
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsnot available
FundersHospital for Sick ChildrenUniversity of Toronto
KeywordsMedicinePediatricsRetinopathy of prematurityCorpus callosumWhite matterInternal capsuleGestational ageMagnetic resonance imagingPregnancyPathology
DOInot available

Abstract

fetched live from OpenAlex

Preterm birth is a common cause of neurodevelopmental disorders in childhood. Little is known about the outcome of infants with severe retinopathy of prematurity (ROP) and multiple infections in the postnatal period. This thesis describes their associations with abnormal brain development using multi-modal MR imaging and standardized outcome assessments. Those infants with severe ROP had delayed brain maturation of the posterior white matter and optic radiations, with poorer 18 month cognitive and motor outcomes. Compared to fewer episodes of infection, three or more postnatal infections was associated with delayed maturation of the posterior limb of the internal capsule (PLIC), corpus callosum and the optic radiations, with poorer 36 month motor outcomes. Our findings support that severe ROP and multiple postnatal infections in very preterm newborns are associated with decreased brain maturation and poorer neurodevelopmental outcomes, and that advancements in these disorders have the potential to improve outcomes.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.223
Teacher spread0.216 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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