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Record W1905767239 · doi:10.1111/hdi.12329

Sequential molecularly targeted drug therapy including axitinib for a patient with end‐stage renal failure and metastatic renal cell carcinoma

2015· article· en· W1905767239 on OpenAlexvenueno aff
Hayato Nishida, Hiroki Fukuhara, Atsushi Yamagishi, Toshihiko Sakurai, Tomohiro Shibasaki, Hisashi Kawazoe, Tomoyuki Kato, Yoshihiko Tomita

Bibliographic record

VenueHemodialysis International · 2015
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsnot available
Fundersnot available
KeywordsAxitinibMedicineSunitinibSorafenibRenal cell carcinomaEverolimusTargeted therapyHemodialysisInternal medicineAdverse effectOncologyEnd stage renal diseaseStage (stratigraphy)UrologyCancer

Abstract

fetched live from OpenAlex

A 62-year-old male patient with end-stage renal disease and metastatic renal cell carcinoma (RCC) was referred to our hospital. Sequential targeted therapy consisting of sorafenib, sunitinib, and everolimus was administered, but the patient's disease gradually progressed. Axitinib was subsequently administered at a decreased dose of 6 mg/day for 2 weeks, after which the dose was escalated to 10 mg/day. Axitinib therapy was maintained for a total of 6 months without severe adverse effects. Sequential molecularly targeted drug therapy including axitinib, with careful monitoring, is one possible treatment option for patients with metastatic RCC with renal impairment.

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)0.000
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.040
GPT teacher head0.277
Teacher spread0.237 · 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

Citations12
Published2015
Admission routes1
Has abstractyes

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