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Record W2090976629 · doi:10.1515/cclm.2005.080

Vitamin C and aberrant electrolyte results

2005· article· en· W2090976629 on OpenAlexaff
Qing H. Meng, William C. Irwin, Kishore Visvanathan

Bibliographic record

VenueClinical Chemistry and Laboratory Medicine (CCLM) · 2005
Typearticle
Languageen
FieldNursing
TopicVitamin C and Antioxidants Research
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsElectrolyteVitaminSodiumPotassiumChemistryInternal medicineEndocrinologyMedicineChromatographyElectrodeOrganic chemistry

Abstract

fetched live from OpenAlex

Vitamin C interferes with assays involving the redox-reaction. However, the interference of Vitamin C with electrolytes has not been reported. In the present case, we describe a 61-year-old lady with severe electrolyte abnormalities after administration of high doses of vitamin C. This patient, who had terminal colon cancer, presented to hospital with anuria. Her electrolytes were extremely abnormal (determined on the Beckman Synchron LX20): serum sodium 200 mmol/L, potassium 7.0 mmol/L, and chloride 50 mmol/L. Repeated measurements showed similar abnormalities. However, these critical abnormalities did not fit her clinical picture, as she was alert with normal vital signs. One of the specimens was also run on both the ABL700 and the Bayer644 analyzers, and the electrolytes appeared normal. Pooled serum from healthy individuals to which various amounts of vitamin C was added then was analyzed on Beckman Synchron LX20 for electrolytes, demonstrating the interference of vitamin C consistent with the initial finding. Thus, we eventually figured out that the aberrant results were due to the vitamin C caused analytical interference.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.030
GPT teacher head0.363
Teacher spread0.334 · 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 designObservational
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

Citations5
Published2005
Admission routes1
Has abstractyes

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Same venueClinical Chemistry and Laboratory Medicine (CCLM)Same topicVitamin C and Antioxidants ResearchFrench-language works237,207