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Record W3139062546 · doi:10.1159/000514296

A Rare Case of Severe Lactic Acidosis from 5-Fluorouracil after mFOLFOX6 Treatment in a Patient with Advanced Gastric Cancer

2021· article· en· W3139062546 on OpenAlexaff
Tae Hoon Lee, Dan Le

Bibliographic record

VenueCase Reports in Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsBC Cancer AgencyUniversity of British Columbia
Fundersnot available
KeywordsMedicineCancerLactic acidosisEncephalopathyChemotherapyFluorouracilInternal medicineAdverse effectGastroenterologyAcidosisHyperammonemiaIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

Gastric cancer is one of the most common cancers worldwide and is one of the deadliest types of neoplasm. Many patients present with an advanced stage where palliative chemotherapy is the standard of care. 5-Fluorouracil (5-FU) remains the backbone of systemic therapy treatment in advanced gastric cancer, although is associated with many side effects. While cases of encephalopathy caused by hyperammonemia have been reported, lactic acidosis after systemic 5-FU exposure is exceedingly rare. We present here for the first time a case of type B lactic acidosis secondary to mFOLFOX6 therapy in advanced gastric cancer. This patient presented with acute delirium, dystonia, and a lactate of 11.7 mmol/L, which peaked to 18.7 mmol/L, within 48 h of chemotherapy treatment. Routine clinical monitoring of lactate may be beneficial to avoid this potentially life-threatening adverse event.

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 score0.005
Threshold uncertainty score0.010

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 studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0050.004
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 head0.017
GPT teacher head0.315
Teacher spread0.297 · 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

Citations7
Published2021
Admission routes1
Has abstractyes

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