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Record W2064656869 · doi:10.1159/000167178

Hyperkalemia Provoked by Acute Hepatic Necrosis

2008· article· en· W2064656869 on OpenAlexaff
D. Bercovitch, Michael Davidman, Michael Lichter

Bibliographic record

VenueAmerican Journal of Nephrology · 2008
Typearticle
Languageen
FieldMedicine
TopicPotassium and Related Disorders
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsHyperkalemiaMedicineAcute tubular necrosisNecrosisInternal medicineIntensive care medicineCardiologyKidney

Abstract

fetched live from OpenAlex

Six patients with varying degrees of renal insufficiency developed severe hyperkalemia following hepatic necrosis. The hyperkalemia was seen prior to or concomitant with marked elevations in hepatic enzymes. The basis of the liver disease appeared to involve congestive heart failure and/or hypotension. Necrotic liver cells released intracellular potassium into the blood of patients who were unable to handle the additional potassium load because of renal insufficiency and metabolic acidosis. Furthermore, a shift of potassium into the intracellular space is impaired in uremics by defective Na-K ATPase activity, possibly induced by uremic toxins. The 3 diabetic patients in our series may additionally have had aldosterone deficiency leading to impaired cellular potassium uptake.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.006
GPT teacher head0.240
Teacher spread0.234 · 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

Citations10
Published2008
Admission routes1
Has abstractyes

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