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Record W1489917756 · doi:10.1177/229255031101900208

Primary Cutaneous B-Cell Lymphoma: Role of Surgery

2011· article· en· W1489917756 on OpenAlexaffvenueabout
Sam Parbhakar, Arianna Dal Cin

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2011
Typearticle
Languageen
FieldMedicine
TopicCutaneous lymphoproliferative disorders research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineLymphomaSurgeryRetrospective cohort studyRadiation therapyIncidence (geometry)DermatologyPathology

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate the role of surgery in patients diagnosed with primary cutaneous B-cell lymphoma (PCBCL) - a rare disease entity. The authors offer a rationale for the use of primary surgical excision in the treatment of isolated cutaneous lymphomas. METHODS: A literature review examining the use of primary surgical excision in the treatment of PCBCL was conducted. The lymphoma database at the Juravinski Cancer Centre (Hamilton, Ontario) was searched from January 1995 to July 2008, generating a list of 4924 patients. A simulated computer program was subsequently designed to search for all possible PCBCLs. A retrospective chart review was then conducted on the new list of 1325 patients, identifying 25 patients diagnosed with PCBCL. RESULTS: The mean age of the 25 patients with PCBCL was 59.9 years; nine (36%) were treated with surgery, and sixteen (64%) with radiation. The average follow-up period for patients was 3.6 years. Twenty-four of the 25 patients were completely cured, with only one patient recurring in the radiation subgroup. There were no complications in the surgery subgroup. There were two local complications in the radiation subgroup consisting of chronic ulcerations. CONCLUSIONS: Primary surgical excision is an effective management option in the treatment of PCBCL, particularly the marginal zone and follicle centre subtypes.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.228
Teacher spread0.190 · 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.

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

Citations20
Published2011
Admission routes3
Has abstractyes

Explore more

Same venueCanadian Journal of Plastic SurgerySame topicCutaneous lymphoproliferative disorders researchFrench-language works237,207