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Record W4312032667 · doi:10.21037/atm-2022-69

Raltitrexed as a substitute for capecitabine in metastatic gastric cancer: a case report and literature review

2022· article· en· W4312032667 on OpenAlexaff
Imran Ladak, Beatrice Preti, Bryan Dias, Daniel Breadner

Bibliographic record

VenueAnnals of Translational Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsCapecitabineRaltitrexedMedicineCancerOncologyInternal medicineOxaliplatinColorectal cancer

Abstract

fetched live from OpenAlex

Background: 5-Fluorouracil and its oral prodrug, capecitabine, are frequently used in the treatment of gastrointestinal cancers-including gastric cancer-but carry a cardiotoxicity risk. Raltitrexed (brand name Tomudex), a direct inhibitor of thymidylate synthase, has been successfully used as an alternative to fluoropyrimidines in patients with 5-fluorouracil-induced cardiac events. We report the first case, to our knowledge, of raltitrexed used with trastuzumab and platinum-based chemotherapy as a substitute for fluoropyrimidines following cardiotoxicity in a 78-year-old male patient with metastatic gastric cancer. Case Description: gastric adenocarcinoma. Capecitabine was replaced with raltitrexed, and the patient ultimately received seven cycles of chemotherapy, five of which included raltitrexed. There were no cardiotoxic events attributable to raltitrexed, although the patient did experience hypotensive episodes, premature ventricular contractions, myelosuppression, and anemia. Progression-free survival was 4.5 months, within the expected range achieved with the ToGA regimen (trastuzumab, cisplatin, 5-fluorouracil chemotherapy). At time of writing, the patient has been alive for 48 weeks since diagnosis. Conclusions: In summary, raltitrexed appears to be a safe alternative to fluoropyrimidines when combined with trastuzumab and platinum, although more data is needed to determine its relative effectiveness.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.657
Threshold uncertainty score0.387

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.079
GPT teacher head0.401
Teacher spread0.322 · 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 teacher head, 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

Citations6
Published2022
Admission routes1
Has abstractyes

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