5-Year Review of a Unique Multidisciplinary Nonmelanoma Skin Cancer Clinic
Bibliographic record
Abstract
BACKGROUND: A multidisciplinary nonmelanoma skin cancer (NMSC) clinic is held weekly at our center, where all new patients are jointly assessed by dermatology/dermatopathology, radiation oncology, and plastic surgery. A new patient database was established in 2004. The purpose of this study was to provide a preliminary report on the patients seen in the NMSC clinic and the treatment recommendations rendered. METHODS: The new patient database was reviewed from January 2004 to December 2008, and patient demographics, tumor characteristics, and treatment recommendations were extracted. Cochran-Mantel-Harnszel (CMH) testing and chi-square analysis were used to detect any associations or relationships between variables within the database. A p value of less than .05 was considered significant. RESULTS: During the 5-year study period, 2,146 new patients were seen in the NMSC clinic. The majority of patients presented with basal cell carcinoma (64%) or squamous cell carcinoma (22%), with a median tumor size of 1 to 2 cm (range 0 to > 9 cm). Tumors were located in the head and neck region (80%), extremities (14%), and torso (6%). Previous treatment included biopsy only (62%), surgery (20%), electrodesiccation and curettage (11%), topical imiquimod (3%), and radiotherapy (1%). Treatment recommendations included surgery (55%) (with either simple excision [31%] or excision with margin control under frozen-section guidance [24%]), radiotherapy (19%), topical imiquimod (10%), observation (7%), and electrodesiccation and curettage (4%). CONCLUSIONS: The NMSC clinic at our center sees a high volume of patients who benefit from the multidisciplinary assessment provided. Treatment recommendations were based on patient and disease characteristics as well as patient preference.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".