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Standard and new treatments in cutaneous B‐cell lymphomas

2006· review· en· W2063361138 on OpenAlexaff
Brigitte Dréno

Bibliographic record

VenueJournal of Cutaneous Pathology · 2006
Typereview
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsMedicineRituximabLymphomaRadiation therapyPathologyCutaneous lymphomaDermatologyMycosis fungoidesSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Primary cutaneous B-cell lymphomas (PCBCL) are cutaneous non-Hodgkin lymphomas and can be classified clinically and by prognosis. The aim of this paper is to perform a review of standard and new treatments. METHOD: This paper provides a literature review of the different treatments of PCBCL. RESULTS: Surgery and radiotherapy remain the standard therapies in isolated cutaneous lesions. Systemic or intralesional interferon (IFN)-alpha may be an alternative in PCBCL with diffuse cutaneous lesions. In aggressive forms with poor prognosis, polychemotherapy is the first line of treatment although rituximab and radioimmunotherapy are evolving therapeutic options. CONCLUSION: In the majority of cases, the treatment of CBCL is straightforward. In aggressive forms, new therapies and biologic therapies may be of real interest.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.046
GPT teacher head0.368
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations40
Published2006
Admission routes1
Has abstractyes

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