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Record W4250237478 · doi:10.14740/jem472w

Ketoalkalosis: Masked Presentation of Diabetic Ketoacidosis With Literature Review

2017· article· en· W4250237478 on OpenAlexvenueno aff
Vinod Kumar, Sushant Nanavati, Fnu Komal, Luis C. Ortiz, Namrata Paul, Manhedar Kumar, Patrick Michael, Monisha Singhal

Bibliographic record

VenueJournal of Endocrinology and Metabolism · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDiabetic ketoacidosisMetabolic acidosisInternal medicineKetosisEndocrinologyAnion gapKetoacidosisMetabolic alkalosisKetogenesisVomitingAcidosisDiabetes mellitusType 1 diabetesKetone bodiesMetabolism

Abstract

fetched live from OpenAlex

Most dreaded complication in type 1 diabetes mellitus remains diabetic ketoacidosis (DKA): plasma blood glucose > 250 mg/dL, serum bicarbonate < 18 mEq/L, anion gap metabolic acidosis and ketosis. Insulin deficiency with high levels of glucagon and stress hormones causing ketogenesis in liver, elevated lipolysis in peripheral tissues, and increased free fatty acids contribute the formation of ketones leading to metabolic acidosis. And hence DKA is also termed as ketoacidosis. Unusually, patients with diuretic use, alkali ingestion, intractable vomiting, or hypercortisolism may present with alkalemia in DKA. Contraction (Metabolic) Alkalosis masquerades metabolic acidosis with anion gap and low to normal bicarbonate that uncovers on provision of intravenous fluids. We present a case of a 25-year-old female with DKA presenting with intractable vomiting, alkalotic pH and high anion gap. J Endocrinol Metab. 2017;7(6):194-196 doi: https://doi.org/10.14740/jem472w

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.307

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 head0.007
GPT teacher head0.256
Teacher spread0.249 · 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 designBench or experimental
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

Citations8
Published2017
Admission routes1
Has abstractyes

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