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Record W4386381444 · doi:10.4236/wjcs.2023.138013

Cardiac Manifestations with Chemotherapeutic Agents: 5 Fluorouracil-Induced Coronary Artery Vasospasm

2023· article· en· W4386381444 on OpenAlexaff
Vignendra Ariyarajah, M.S. Hameed, Mohamed Firdaus M. Mydeen, Guillermo Crespo

Bibliographic record

VenueWorld Journal of Cardiovascular Surgery · 2023
Typearticle
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineCardiotoxicityCoronary vasospasmCoronary artery diseaseMyocardial infarctionVasospasmFluorouracilArteryInternal medicineChemotherapyCardiologyAnginaSubarachnoid hemorrhage

Abstract

fetched live from OpenAlex

5-fluorouracil (5-FU) is a fluorinated, pyrimidine analog, antineoplastic agent that is used in the treatment of several solid organ cancers. Cardiotoxicity is uncommon but life-threatening manifestations such as myocardial infarction may manifest owing to 5-FU-induced coronary artery spasm. Administering smaller doses of the drug, more frequently than not, decreases the risk of cardiotoxicity compared to large doses or with continuous infusions. We present a case of ST-segment elevation in a patient without known coronary artery disease who had presented following continuous 5-FU infusion. Coronary angiogram confirmed absence of coronary artery disease and intravenous calcium channel blockers administration was commensurate with the patient’s improvement in symptoms. We discuss the literature on 5-FU and its association with coronary artery spasm, and also briefly review chemotherapy-induced cardiotoxicities to help better prepare internists and other primary health care providers to face similar challenges, particularly of the uncommon but potentially life-threatening manifestations.

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)0.001
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.258
Teacher spread0.222 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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