Grade III Dermatitis in a Patient Treated With Paclitaxel and Radiotherapy: Case Report and Review of the Literature
Bibliographic record
Abstract
Taxanes, both paclitaxel and doxetaxel are the medication of the future in the management of solid tumors. In high risk breast cancer patients, the combination of concurrent paclitaxel and docetaxel chemotherapy with adjuvant radiotherapy is an attractive option to sequential treatment, with potential for enforcing both local and systemic control. This case report examines the tolerance of such treatment. A 54-year-old Greek woman without a relevant medical history, presented with clinical diagnosed breast cancer staged T4NxM0. Neo-adjuvant chemotherapy was initially administered, and paclitaxel was administered concurrently with radiotherapy in order to achieve local control . During the third cycle of paclitaxel the patient developed grade III dermatitis. The tumor showed a reduction in size by 70%, however, chronic cutaneous and subcutaneous changes have not been accessed. In conclusion, adjuvant breast cancer therapy with concurrent standard dose radiotherapy and paclitaxel (175 mg/m 2 ) every three weeks, should be approached cautiously owing to paclitaxel induced dermatitis. World J Oncol. 2011;2(3):143-146 doi: https://doi.org/10.4021/wjon314w
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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.
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".