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Record W4380886008 · doi:10.1177/09732179231172280

A Newborn With Severe and Refractory Hypoglycemia

2023· article· en· W4380886008 on OpenAlexaff
Sriya Roychaudhuri, Nahla Abdallateef, Sakethram Saravu Vijayashankar, Jason Tan, Daniel L. Metzger, Emily Kieran

Bibliographic record

VenueJournal of Neonatology · 2023
Typearticle
Languageen
FieldMedicine
TopicHyperglycemia and glycemic control in critically ill and hospitalized patients
Canadian institutionsBC Children's HospitalB.C. Women's Hospital & Health Centre
Fundersnot available
KeywordsMedicineHypoglycemiaRefractory (planetary science)Intensive care medicineCongenital hyperinsulinismEtiologyPediatricsPopulationAdverse effectHyperinsulinismNeonatal hypoglycemiaInsulinInternal medicinePregnancyInsulin resistanceGestation

Abstract

fetched live from OpenAlex

Hypoglycemia is a common entity encountered in the neonatal population with identified risk factors. Severe symptomatic hypoglycemia in a term baby without any specific risk factors is rare. The management includes identifying the underlying etiology which involves a “critical sample” and its interpretation. Hyperinsulinism (HI) detected during assessment is often transient and may be prolonged and difficult to treat. It is challenging to differentiate transient from persistent HI but becomes essential when effective medical or definitive surgical treatment has to be considered in especially refractory cases. The crucial task of maintaining normoglycemia demands continuous monitoring and proactive planned management as literature shows adverse neurodevelopmental outcomes in babies with even short-lasting transient HI due to hypoglycemic events that can be severe. This translates into these newborns being subjected to multiple noxious stimuli and distinct reactions to pain. Our approach to a newborn with congenital HI involved complex medical strategies with continuous glucose monitoring with an in situ subcutaneously placed detector before definitive surgical management at 8 months of life.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.295

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.012
GPT teacher head0.269
Teacher spread0.257 · 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 designNot applicable
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

Citations1
Published2023
Admission routes1
Has abstractyes

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