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Record W3034490411 · doi:10.7759/cureus.8534

Multifocal CD4+ Primary Cutaneous Small/Medium Lymphoproliferative Disorder Successfully Treated With Low-Dose Oral Methotrexate: A Case Report

2020· article· en· W3034490411 on OpenAlexaff
Ahmad Dimassi, Christopher J. Howlett, Chai W. Phua

Bibliographic record

VenueCureus · 2020
Typearticle
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineMethotrexateChemotherapyLymphoproliferative disordersHead and neckDermatologySurgeryInternal medicineLymphoma

Abstract

fetched live from OpenAlex

Primary cutaneous CD4+ small/medium T-cell lymphoproliferative disorder (PCSM-LPD) is a rare indolent disorder often associated with a favourable prognosis. It typically presents as a solitary skin lesion, mainly in the head, neck, or upper trunk region. Multifocal PCSM-LPD is a rare entity, with no standard treatment approaches available. In this article, we present the case of a 56-year-old male patient with multifocal biopsy-proven PCSM-LPD that was treated with methotrexate orally at 10 mg/m2 body surface area weekly and successfully achieved full clinical resolution by the 10th week of therapy. A review of the literature indicates the efficacy of combination chemotherapy. However, due to the indolent nature of this disorder and the undesired side effects from combination chemotherapy, our treatment method involved oral methotrexate alone, and it was successful. Oral methotrexate is a potential therapeutic option in the management of multifocal PCSM-LPD and it warrants further investigations.

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.303
Teacher spread0.274 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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