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Record W4393807652 · doi:10.5281/zenodo.5963855

Neurodevelopmental outcome of preterm very low birth weight infants admitted to an Italian tertiary center over an 11-year period

2022· dataset· en· W4393807652 on OpenAlexaff
Longo Stefania, Camilla Caporali, Camilla Pisoni, A. Borghesi, Perotti Gianfranco, Tritto Giovanna, Ivana Olivieri, Roberta La Piana, Davide Tonduti, Decio Alice, Ariaudo Giada, Spairani Silvia, Naboni Cecilia, Bárbara Gardella, Arsenio Spinillo, Federica Manzoni, Carmine Tinelli, Mauro Stronati, Simona Orcesi

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2022
Typedataset
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsCenter (category theory)PediatricsTertiary careLow birth weightMedicinePeriod (music)Birth weightPregnancyFamily medicinePhysicsBiology

Abstract

fetched live from OpenAlex

This database includes the raw data linked with the paper “Neurodevelopmental outcome of preterm very low birth weight infants admitted to an Italian tertiary center over an 11-year period”. In this paper, we reported the data of perinatal history and neurodevelopmental outcome of a single center cohort of Italian preterm VLBWi born between 2005 and 2015. The aim of the study is to describe neurodevelopmental outcome at 24 months of corrected age and to identify associations between perinatal risk factors and neurodevelopmental outcome. 502 VLBWi completed the follow up. 75.3% showed a normal outcome, 13.9% minor sequelae and 10.8% major sequelae (3.8% cerebral palsy). Male gender (OR 1.59 CI 95% 1.0-2.5 p value 0.043), bronchopulmonary dysplasia (OR 1.7 CI 95% 1.1-2.9 p value 0.026), abnormal neonatal neurological assessment (OR 2.1 CI 95% 1.3-3.4 p value 0.002) and severe brain ultrasound abnormalities (OR 6.1 IC 95% 2.4-15.1 p value <0.001) were independently associated with poor outcome on multivariate ordered logistic regression.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.022
GPT teacher head0.265
Teacher spread0.244 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueZenodo (CERN European Organization for Nuclear Research)→Same topicInfant Development and Preterm Care→French-language works237,207→