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Pediatric stroke associated with new onset type 1 diabetes mellitus: case reports and review of the literature

2006· review· en· W2046852134 on OpenAlexaff
Josephine Ho, Jean K. Mah, Michael D. Hill, Danièle Pacaud

Bibliographic record

VenuePediatric Diabetes · 2006
Typereview
Languageen
FieldMedicine
TopicNeurological and metabolic disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineStroke (engine)PediatricsDiabetes mellitusType 1 diabetesMEDLINEType 2 Diabetes MellitusEndocrinology

Abstract

fetched live from OpenAlex

Neurological deterioration in children with diabetic ketoacidosis (DKA) is commonly caused by cerebral edema. However, stroke should also be suspected when focal neurological deficits are apparent, because children with hyperglycemia and DKA are prone to thrombosis. We report three cases of pediatric stroke associated with new onset type 1 diabetes mellitus (T1DM). The first case presented with sinovenous thrombosis, and the other two cases presented in DKA and had a late diagnosis of ischemic stroke following neurological deterioration. Our recent experiences and review of the literature emphasize the importance of early diagnosis, investigation, and treatment for patients that present with new onset T1DM and stroke.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0040.005
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.263
Teacher spread0.248 · 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 designCase report
Domainnot available
GenreReview

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

Citations28
Published2006
Admission routes1
Has abstractyes

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