MétaCan
Menu
Back to cohort
Record W1504780135

Severe acute renal failure in a patient with diabetic ketoacidosis.

2009· article· en· W1504780135 on OpenAlexaff
Jamila Al-Matrafi, Jennifer Vethamuthu

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiabetes and associated disorders
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineDiabetic ketoacidosisRhabdomyolysisRenal replacement therapyHypophosphatemiaMetabolic acidosisComplicationDiabetes mellitusKetoacidosisAcidosisRenal functionIntensive care medicineInternal medicineSurgeryType 1 diabetesEndocrinology
DOInot available

Abstract

fetched live from OpenAlex

Acute renal failure (ARF) is a rare but potentially fatal complication of diabetic ketoacidosis (DKA). Early recognition and aggressive treatment of ARF during DKA may im-prove the prognosis of these patients. We present a case report of a 12 year old female admitted to the hospital with severe DKA as the 1s t manifestation of her diabetes mellitus. She presented with severe metabolic acidosis, hypophosphatemia, and oliguric ARF. In addition, rhabdomyolysis was noted during the course of DKA which probably contributed to the ARF. Management of DKA and renal replacement therapy resulted in quick recovery of renal function. We suggest that early initiation of renal replacement therapy for patients with DKA developing ARF may improve the potentially poor outcome of patients with ARF associated with DKA.

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)0.003
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: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.003
GPT teacher head0.169
Teacher spread0.166 · 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
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

Citations27
Published2009
Admission routes1
Has abstractyes

Explore more

Same venuePubMedSame topicDiabetes and associated disordersFrench-language works237,207