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Record W3038008047 · doi:10.1177/1078155220934163

Tolerability of pemetrexed and oxaliplatin in the treatment of stage III colon cancer during raltitrexed shortage

2020· article· en· W3038008047 on OpenAlexaffabout
Jasmine Giani, Michael B. Sawyer, Carole Chambers

Bibliographic record

VenueJournal of Oncology Pharmacy Practice · 2020
Typearticle
Languageen
FieldMedicine
TopicColorectal Cancer Treatments and Studies
Canadian institutionsAlberta Health Services
Fundersnot available
KeywordsOxaliplatinMedicineTolerabilityPemetrexedRaltitrexedColorectal cancerInternal medicineOncologyRegimenAdverse effectDiscontinuationCapecitabineChemotherapyCancerCisplatin

Abstract

fetched live from OpenAlex

Colorectal cancer is one of the most common malignancies diagnosed in Canada. Currently, adjuvant colorectal cancer treatment primarily includes chemotherapeutic regimens such as FOLFOX6 (5-fluorouracil, leucovorin, oxaliplatin) or CAPOX (capecitabine, oxaliplatin), as well as alternative regimens such as TOMOX (raltitrexed, oxaliplatin). However, the prevalence of drug shortages in today's society may make these preferred regimens inaccessible. The purpose of this case report is to highlight the tolerability of an alternative adjuvant regimen (pemetrexed plus oxaliplatin) that has undergone both phase I and II clinical trials for the treatment of colorectal cancer. The patient presented in this case report is a 57-year-old female diagnosed with Stage III colon cancer. This patient received seven cycles of pemetrexed plus oxaliplatin and experienced several adverse events, with the majority of them being mild in nature including fatigue and cold dysesthesia. However, the patient also experienced progressive neuropathy which required a dose reduction and subsequent discontinuation of oxaliplatin. Overall, pemetrexed and oxaliplatin's tolerability seems comparable to other regimens used to treat colorectal cancer and could potentially be an option to consider in the future for alternative treatment of colorectal cancer pending further trials.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.096
GPT teacher head0.446
Teacher spread0.350 · 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 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

Citations1
Published2020
Admission routes2
Has abstractyes

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