Efficacy of the novel treatments of BCC with bone metastasis.
Bibliographic record
Abstract
e14547 Background: Eighty percent of nonmelanoma skin malignancies are basal cell carcinomas (BCC). Metastasis in BCC is about 0.0028 to 0.55. Diagnosis and treatment of metastatic BCC is challenging due to its rarity. In approximately 85% of metastatic BCC, the most common metastatic organs are lymph nodes. Methods: We reviewed 31 skin BCCs with bone metastasis in the past 60 years and 10 observation studies on the efficacy of Sonic hedgehog inhibitors (SHHis). We focused on treatment and outcome of 31 metastatic BCC. Results: The main treatment option was surgery and radiotherapy is a palliative option. Among chemotherapeutic and immunotherapeutic agents, SHHis (e.g. vismodegib and sonidegib) appear to be effective, with reported ORR of 43-100%, and CRR range of 3%-54%. In locally advanced BCCs, vismodegib shows 10 times higher CRRs compared to sonidegib, although ORRs were similar. In metastatic BCC, overall response to vismodegib was three times higher. The common adverse effects of SHHis limit their administration. Conclusions: BCC is a common skin neoplasm that rarely demonstrates metastasis. Among the chemotherapy agents administered, vismodegib appears promising.[Table: see text]
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".