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Record W2085028082 · doi:10.1155/2011/529097

Exercise-Induced Hypoglycemic Hemiplegia in a Child with Type 1 Diabetes: A Rare Find with Multiple Potential Causative Mechanisms

2011· article· en· W2085028082 on OpenAlexaff
M. Constantine Samaan, Abeer Alassaf, Jonathan DellaVedova, Trisha Murthy

Bibliographic record

VenueCase Reports in Medicine · 2011
Typearticle
Languageen
FieldMedicine
TopicNeurological and metabolic disorders
Canadian institutionsMcMaster UniversityMcMaster Children's Hospital
Fundersnot available
KeywordsHypoglycemiaMedicineComplicationDiabetes mellitusEmergency departmentType 2 diabetesBolus (digestion)Type 1 diabetesPediatricsAnesthesiaInternal medicineEndocrinologyPsychiatry

Abstract

fetched live from OpenAlex

A 10-year-old boy known to have type 1 diabetes presented to the emergency department with history of sudden onset of right-sided hemiplegia after exercise. He did not respond to oral glucose administration, but had an almost immediate resolution of symptoms with intravenous bolus of dextrose. Hemiplegic hypoglycemia is a rare complication in diabetic children, mostly affects the right side of the body, and is rarely recurrent. Children have normal brain imaging and angiography testing, and electroencephalogram may show slow-wave activity. The recovery takes place within 24 hours, and the prognosis is excellent with no focal neurological deficits noted. Our patient responded within minutes to intravenous dextrose, which is unusual and has not been reported previously. The mechanisms leading to development of hypoglycemic hemiplegia are unclear, but may involve effects of hypoglycemia on intracellular signaling pathways or molecules on motor neurons, as recent studies have shown normal brain cell glucose uptake and metabolism in hypoglycemia. While hypoglycemic hemiplegia is rare, it is a frightening experience to caregivers, and efforts should concentrate on its prevention by preventing hypoglycemia.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.024
GPT teacher head0.242
Teacher spread0.217 · 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 designCase report
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

Citations2
Published2011
Admission routes1
Has abstractyes

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