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Record W3123192969 · doi:10.14740/jmc3630

Non-Cirrhotic Portal Hypertension in a Patient With Colonic Carcinoma Treated With Oxaliplatin

2021· article· en· W3123192969 on OpenAlexvenueno aff
María Cynthia Fuentes-Lacouture, Édgar Camilo Barrera, Andrea Gomez, William Mantilla

Bibliographic record

VenueJournal of Medical Cases · 2021
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOxaliplatinFOLFOXColorectal cancerInternal medicineComplicationGastroenterologyPortal hypertensionAdverse effectOncologyCancerCirrhosis

Abstract

fetched live from OpenAlex

Oxaliplatin is a chemotherapeutic agent with direct toxic action on deoxyribonucleic acid (DNA), which is known to cause an arrest in its synthesis and inducing cell death. It is a crucial medication for colorectal carcinoma, and in combination with other medications has demonstrated to exhibit synergism, managing to increase patients' survival, especially when compared to monotherapy with 5-fluoracil. Neurotoxicity is its most well-known adverse effect. However, other less frequent secondary effects have been described in case reports, among them liver injury, which is usually secondary to liver sinusoid injury. Despite the wide frequency of the use of this drug, the relationship of oxaliplatin with the development of portal non-cirrhotic hypertension is largely unknown, which translates into a sub-diagnosis, representing an additional risk to patients who develop this complication. We present the case of an adult patient, who during treatment with the FOLFOX scheme for colorectal carcinoma, presents signs suggestive of portal hypertension, without other risk factors besides the administration of oxaliplatin.

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)0.002
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.041
GPT teacher head0.246
Teacher spread0.204 · 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

Citations6
Published2021
Admission routes1
Has abstractyes

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