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Record W2982492767 · doi:10.29271/jcpsp.2019.11.1116

Association of Low Umbilical Cord pH and Hypoglycemia in Healthy Term Newborns: Should it Be a Part of Postnatal Screening?

2019· article· en· W2982492767 on OpenAlexaffabout
Naveed Ur Rehman Durrani, Jameel Alghamdi, Niels Rochow, Salhab el Helou, Michael Marrin

Bibliographic record

VenueJournal of College of Physicians And Surgeons Pakistan · 2019
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsMcMaster Children's Hospital
Fundersnot available
KeywordsHypoglycemiaMedicineUmbilical cordAcidosisAsymptomaticCord bloodPediatricsEncephalopathyObstetricsMetabolic acidosisDiabetes mellitusAnesthesiaInternal medicineEndocrinologyImmunology

Abstract

fetched live from OpenAlex

Hypoglycemia may lead to neurological impairment; therefore, high-risk newborns are screened postnatally. However, hypoglycemia monitoring protocols often do not include cord blood acidosis as a risk factor. The study aimed to find an association between asymptomatic cord blood acidosis and hypoglycemia. All healthy term infants born at McMaster Children Hospital, Hamilton, Canada, between October 2013 and September 2014, who had umbilical cord blood pH <7.0 or base excess <12 mmol/L were studied. Infants with evidence of hypoxic-ischemic encephalopathy, birth weights outside of 10th to 95th percentiles for gestation, mothers with preeclampsia, diabetes or taking a -blockers at the time of the birth were excluded. Hypoglycemia was defined as blood glucose <2.6 mmol/L in the first two hours of life. One hundred sixtysix infants met the cord blood gas criteria, but only 16 had hypoglycemia. Although infants with mild perinatal depression are at risk for hypoglycemia, a significant association could not be proved.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.292
Teacher spread0.277 · 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.

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

Citations5
Published2019
Admission routes2
Has abstractyes

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