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Record W2082145860 · doi:10.5489/cuaj.1210

Complete response to low-dose sorafenib in a patient with metastatic renal cell carcinoma: A case report

2013· article· en· W2082145860 on OpenAlexvenueno aff
Jun Morita, Michio Naoe, Yu Ogawa, Takehiko Nakasato, Motoko Sugahara, Masashi Morita, Kohzo Fuji, Takashi Fukagai, Haruaki Sasaki, Yoshio Ogawa

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsnot available
Fundersnot available
KeywordsSorafenibMedicineRenal cell carcinomaToxicityAdverse effectRefractory (planetary science)Internal medicineOncologyLymphCarcinomaUrologyHepatocellular carcinomaPathology

Abstract

fetched live from OpenAlex

We present a case of a patient with metastatic renal cell carcinoma (mRCC) who was treated solely with low-dose sorafenib and achieved a complete response (CR). A 79-year-old man with cytokine-refractory mRCC involving the lung, abdominal wall and lymph nodes was treated with low-dose sorafenib (400 mg/day) as a second-line therapy. Five months into treatment, CR was confirmed by follow-up computed tomography. No severe adverse events were observed and sorafenib treatment was continued without appearance of new lesions. Although sorafenib has been approved for mRCC treatment, complete clinical recovery is uncommon and has rarely been described. In this case, low-dose sorafenib appears to be sufficient for achieving CR while suppressing toxicity. Furthermore, long-term continuous administration induces the patient to obtain disease stabilization. However, considering toxicity and treatment costs, it is debatable whether treatment should be discontinued or sustained after CR.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.224
Teacher spread0.204 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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