Bibliographic record
Abstract
While there are multiple reports on sorafenib-induced hand foot skin reaction, this case report details a patient presenting with an unusually severe and painful skin reaction. As the armamentarium of anti-neoplastic kinase inhibitors continues to increase, clinicians must be aware of the array of skin reactions these drugs can induce. A 66 years old Caucasian male with metastatic renal cell carcinoma presented with flu-like symptoms, rash, and painful bullous lesions of his fingertips. After empiric coverage with antibiotics and an infectious workup that turned up negative, it was determined that the patient’s presentation was due to a severe and painful hand skin reaction to sorafenib. While most patients taking sorafenib will experience a cutaneous side effect, the hand foot skin reaction can be extremely debilitating and occurs frequently. Oncologists and dermatologists must be informed about the array of adverse effects of kinase inhibitors, as treatment adherence and outcomes are at stake. In this case report, the bullous skin reaction, debilitating hand pain, and absence of foot involvement were the interesting features. J Med Cases. 2010;1(1):1-3 doi: https://doi.org/10.4021/jmc112e
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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".