Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".