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Record W1973175671 · doi:10.4021//jmc.v1i1.11

Unusually Severe Bullous Skin Reaction to Sorafenib: A Case Report

2010· article· en· W1973175671 on OpenAlexvenueno aff
Benjamin Hagopian, Clifford D. Packer

Bibliographic record

VenueJournal of Medical Cases · 2010
Typearticle
Languageen
FieldMedicine
TopicChemotherapy-related skin toxicity
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSorafenibRashSkin reactionDermatologyAdverse effectFoot (prosody)SurgeryInternal medicineHepatocellular carcinoma

Abstract

fetched live from OpenAlex

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. doi: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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.018
GPT teacher head0.328
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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