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Record W2565671704 · doi:10.14740/ijcp259w

Hyperglycemia After Metformin Overdose: A Case Report

2016· article· en· W2565671704 on OpenAlexvenueno aff
Sabiha Şahin, Çiğdem Binay, Enver Şimşek, Ener Çağrı Dinleyici, Kürşat Bora Çarman

Bibliographic record

VenueInternational Journal of Clinical Pediatrics · 2016
Typearticle
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMetforminAnion gapMetabolic acidosisLactic acidosisHyperlactatemiaGlasgow Coma ScaleAnesthesiaHemofiltrationInsulinAcidosisIntensive care unitHypoglycemiaTachycardiaInternal medicineHemodialysis

Abstract

fetched live from OpenAlex

We present a case of a 16-year-old non-diabetic girl who ingested over 35 tablets (glucophage Merck 850 mg) of metformin in a suicide attempt. She presented to pediatric emergency department with severe lactic acidosis and a progressively increasing serum glucose level. She was in a coma state at the time of admission, Glasgow coma scale was 3/15 and arterial blood pressure was 106/45 mm Hg. Arterial blood gas (ABG) analysis indicated severe metabolic acidosis (pH 6.7) with high anion gap -30.5, PCO 2 13.2, HCO 3 3.9, BE -30, lactate 14.54 mmol/L, blood glucose 497, amylase 531 IU/L, and uric acid 10.47 mg/dL. Serum ethanol, acetaminophen and salicylates were measured and found to be undetectable. Electrocardiographic monitoring demonstrated a narrow-complex sinus tachycardia. She was intubated, totally 2,000 cc/m 2 fluid and NaHCO 3 were given, and insulin infusion 0.1 units/kg was started for blood glucose of 497 mg/dL. But the patient suffered several cardiac arrests with pulseless electrical activity and ultimately expired 25 h after the ingestion. The patient was transferred to pediatric intensive care unit (PICU) for high-volume continuous veno-venous hemofiltration (CVVH). Despite the supportive care in ICU, she died due to multiple organ failures after 48 h of hospitalization. Int J Clin Pediatr. 2016;5(3-4):44-46 doi: https://doi.org/10.14740/ijcp259w

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
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 head0.047
GPT teacher head0.432
Teacher spread0.384 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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