MétaCan
Menu
Back to cohort

Extreme hyperglycemia with ketoacidosis and hyperkalemia in a patient on chronic hemodialysis

2008· article· en· W2025097695 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueHemodialysis International · 2008
Typearticle
Languageen
FieldMedicine
TopicNeurological and metabolic disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHyperkalemiaHemodialysisDiabetic ketoacidosisAcidosisDialysisComa (optics)Metabolic acidosisKetoacidosisInsulinKidney diseaseInternal medicineAnesthesiaIntensive care medicineDiabetes mellitusEndocrinologyType 1 diabetes

Abstract

fetched live from OpenAlex

A patient on hemodialysis for end-stage renal disease secondary to diabetic nephropathy was admitted in a coma with Kussmaul breathing and hypertension (232/124 mmHg). She had extreme hyperglycemia (1884 mg/dL), acidosis (total CO(2) 4 mmol/L), hyperkalemia (7.2 mmol/L) with electrocardiographic abnormalities, and hypertonicity (330.7 mOsm/kg). Initial treatment with insulin drip resulted in a decrease in serum potassium to 5.3 mmol/L, but no significant change in mental status or other laboratory parameters. Hemodialysis of 1.75 hours resulted in rapid decline in serum glucose and tonicity and rapid improvement of the acidosis, but no change in mental status, which began to improve slowly after the hemodialysis was stopped, but with ongoing treatment with continuous insulin infusion. The rate of decline in tonicity during hemodialysis (14.5 mOsm/kg/h) was high, raising concerns about neurological complications. In this case, extreme hyperglycemia with ketoacidosis, hyperkalemia, and coma developing in a hemodialysis patient responded to insulin infusion. Monitoring of the clinical status and the pertinent laboratory values is required to assess the need for other therapeutic measures including volume and potassium replacement and emergency dialysis. The indications for and risks of emergency dialysis in this setting are not clearly defined.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.621

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)0.0010.000

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 head0.023
GPT teacher head0.233
Teacher spread0.211 · 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