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Record W2032077674 · doi:10.1159/000183242

Rising Serum Digoxin without Further Dosage in Acute Renal Failure

2008· article· en· W2032077674 on OpenAlexaff
Henry Gault, Brenda Gallway, Adrian Fine, Sudesh Vasdev

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldMedicine
TopicPoisoning and overdose treatments
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsDigoxinMedicineAnuriaVolume of distributionRenal functionUrologyDistribution (mathematics)ToxicityUrineInternal medicineAnesthesiaHeart failureEndocrinologyPharmacokinetics

Abstract

fetched live from OpenAlex

A 73-year-old man was given a total of 1 mg of digoxin intravenously over 3 days, close to the time that he developed acute renal failure with oligo-anuria. He received no cardiac glycosides before or after this 3-day period. 2 days after the last dose, the serum digoxin concentration (SDC) was 2.9 ng/ml, yet a peak value of 4.2 ng/ml was reached only 11 days later. The SDC remained above 2 ng/ml for another week, until urine output began to increase appreciably. As renal function improved, the SDC gradually fell to become undetectable 32 days after the last dose. Values for apparent volume of distribution calculated from the total dose, and also determined after injection of tritiated digoxin, suggest that the rise in SDC in the absence of additional doses was due in large part to a decrease in the apparent volume of distribution. Dosage and parameters of toxicity should be carefully monitored in patients receiving digoxin who develop acute renal failure.

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)0.002
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.029
GPT teacher head0.307
Teacher spread0.278 · 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

Citations9
Published2008
Admission routes1
Has abstractyes

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