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Record W4237969441 · doi:10.1111/jpc.13882_4

Nasal High‐Flow for Early Respiratory Support of Newborn Infants in Australian Non‐Tertiary Special Care Nurseries (The Hunter Trial): A Multicentre, Randomised, Non‐Inferiority Trial

2018· article· en· W4237969441 on OpenAlexaff
Jane M. Alsweiler, Manley Bj, Wright Im, Owen Ls, Foster Jp, Dalziel Km, Roberts Ct, Clark Tl, Fan Wq, Marshall Ir, Pszczola Rj, Davis Pg, Okesene -Gafa, Mckinlay Cjd, Ming Li, Taylor Rs, Wall Cr, Rachael W. Taylor, Thompson Jmd, CA Crowther, Mccowan Lme

Bibliographic record

VenueJournal of Paediatrics and Child Health · 2018
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMedicineTertiary carePediatricsRandomized controlled trialClinical trialIntensive care medicineEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

the placenta (SLC13A4) and maternal kidneys (SLC13A1) screened using DNA sequencing.Infants assessed at 3mth C.A. using General Movements assessment, and at 24mth C.A. using Bayley Scale of Infant and Toddler Development (BSITDIII).Results: To date, over 700 infants recruited.Our data support the development of sulphate deficiency in preterm infants (111Æ68 Vs 244Æ132μmol/L) and also demonstrate that antenatal MgSO 4 therapy largely mitigates this deficiency in the absence of SLC13A4 and SLC13A1 defects.Conclusions: Without antenatal sulphate provision or when genetic defects block antenatal sulphate supply to the infant before birth, preterm infants have low circulating reserves for supplying the high demands for sulphate in their developing tissues.If the neurodevelopmental assessments support our hypothesis, then we will conduct a clinical trial of neonatal sulphate supplementation.

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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.361
Teacher spread0.335 · 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 designRandomized trial
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

Citations3
Published2018
Admission routes1
Has abstractyes

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Same venueJournal of Paediatrics and Child HealthSame topicNeonatal Respiratory Health ResearchFrench-language works237,207