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Record W2468294668 · doi:10.1097/cji.0000000000000131

An Association Between Glatiramer Acetate and Malignant Melanoma

2016· article· en· W2468294668 on OpenAlexaff
John Walker, AnneLiese Smylie, Michael Smylie

Bibliographic record

VenueJournal of Immunotherapy · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGlatiramer acetateMedicineMelanomaDermatologyAssociation (psychology)OncologyInternal medicineCancer researchPsychologyDisease

Abstract

fetched live from OpenAlex

A 43-year-old female receiving immunomodulatory therapy with glatiramer acetate (copaxone, GA) for relapsing, remitting multiple sclerosis was diagnosed with stage IIIB melanoma that recurred <7 months after resection and lymphadenectomy. In preparation for systemic therapy the patient discontinued GA, and shortly thereafter experienced spontaneous and complete clinical and radiographic resolution of her disease. The development and subsequent regression of melanoma in this patient may be due to the use and subsequent discontinuation of GA, and our discussion of the case includes the potential immunologic mechanisms that may provide an explanation for our findings. To the best of our knowledge, this case represents the first reported association between the immunomodulatory agent GA and malignant melanoma.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

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 studies0.0010.000
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 head0.009
GPT teacher head0.246
Teacher spread0.237 · 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 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

Citations9
Published2016
Admission routes1
Has abstractyes

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