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Use of tyrosine kinase inhibitors in patients with metastatic kidney cancer receiving haemodialysis: a retrospective Italian survey

2012· article· en· W1562209564 on OpenAlexaff
Cristina Masini, Roberto Sabbatini, Camillo Porta, Giuseppe Procopio, Giuseppe Di Lorenzo, Azzurra Onofri, Sebastiano Buti, Roberto Iacovelli, Roberta Invernizzi, Luca Moscetti, Maria Giuseppina Aste, Maria Pagano, Federica Grosso, Anna Lucia Manenti, Cinzia Ortega, Laura Cosmai, Cinzia Del Giovane, PierFranco Conte

Bibliographic record

VenueBritish Journal of Urology · 2012
Typearticle
Languageen
FieldMedicine
TopicRenal cell carcinoma treatment
Canadian institutionsUniversity Hospital Foundation
Fundersnot available
KeywordsSunitinibMedicineSorafenibInternal medicineRetrospective cohort studyRenal cell carcinomaTyrosine-kinase inhibitorOncologyPopulationCancerUrologyPharmacologyHepatocellular carcinoma

Abstract

fetched live from OpenAlex

UNLABELLED: What's known on the subject? and What does the study add? Sunitinib and sorafenib are orally administered multikinase inhibitors approved for the treatment of advanced RCC. The limited pharmacokinetics data on sunitinib and sorafenib suggest that haemodialysis does not significantly alter plasma concentrations. In this retrospective study we define the safety and efficacy of tyrosine kinase inhibitors in patients with metastatic RCC (mRCC) and end-stage renal disease requiring haemodialysis. Even though the retrospective nature of this survey and the relatively small sample size represent major limitations, these data indicate that treatment with sunitinib and sorafenib in this cohort of patients is feasible with no unexpected toxicity and good efficacy, results similar to those in the general population of patients with mRCC. OBJECTIVE: To investigate the safety and efficacy of tyrosine kinase inhibitors (TKIs) in patients with metastatic renal cell carcinoma (mRCC) and end-stage renal disease requiring haemodialysis (HD). PATIENTS AND METHODS: Between July 2006 and December 2010, 24 patients undergoing HD were treated with sunitinib and/or sorafenib for mRCC in 14 Italian institutions. We retrospectively reviewed the medical records of these patients to evaluate the administered doses of TKIs, treatment-related toxicities and the clinical response to therapy. RESULTS: Sunitinib was administered at 50 mg daily for 4-6 weeks in six patients, 37.5 mg daily for 4-6 weeks in seven patients (one patient subsequently increased the dose to 50 mg daily), 25 mg daily for 4-6 weeks in two patients and 12.5 mg daily for 4-6 weeks in one patient. Among the eight patients treated with sorafenib, four patients received 800 mg daily (400 mg every 12 h), three patients 400 mg daily and one patient 200 mg daily with a continuous schedule. The estimated median progression-free and overall survival periods of this cohort of patients were 10.3 months and 22.6 months, respectively. With regard to tolerability and safety, no unexpected adverse events were registered and no grade 4 haematological or non-haematological toxicities were reported. CONCLUSIONS: Sunitinib and sorafenib treatment is not contraindicated in patients with mRCC undergoing HD. The outcome of this patient population is similar to that observed in patients with normal renal function treated with TKIs. These results merit further confirmation by a larger prospective trial.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.029
GPT teacher head0.259
Teacher spread0.230 · 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 designObservational
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".

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Citations44
Published2012
Admission routes1
Has abstractyes

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