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Record W2062392807 · doi:10.1097/cad.0b013e32835a56bc

Peg-filgrastim and cabazitaxel in prostate cancer patients

2012· article· en· W2062392807 on OpenAlexfundno aff
Giuseppe Di Lorenzo, Carmine D’Aniello, Carlo Buonerba, Piera Federico, Pasquale Rescigno, Livio Puglia, Matteo Ferro, Davide Bosso, Carla Cavaliere, Giovannella Palmieri, Guru Sonpavde, Sabino De Placido

Bibliographic record

VenueAnti-Cancer Drugs · 2012
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsnot available
FundersMcGill University
KeywordsCabazitaxelFebrile neutropeniaMedicineNeutropeniaFilgrastimInternal medicineProstate cancerDocetaxelSurgeryOncologyCancerChemotherapy

Abstract

fetched live from OpenAlex

To determine the impact of prophylaxis with granulocyte-colony stimulating growth factor (G-CSF) on the risk of febrile neutropenia in a cohort of patients enrolled at the University Federico II of Naples and treated with cabazitaxel for metastatic castration-resistant prostate cancer (mCRPC). We carried out a retrospective review of prospectively collected data of patients enrolled at our institution in a compassionate-use programme with cabazitaxel, aimed at providing early access to the drug before its commercial availability in mCRPC patients. Besides baseline clinical and demographic characteristics, data on treatment efficacy and toxicity, as well as those on the use of G-CSF per patient per cycle were extracted. Progression-free survival and overall survival were calculated using the Kaplan-Meier method. Fisher's exact test was used to explore a relationship between a single event of grade 3 or more neutropenia or febrile neutropenia and previous use of G-CSF. Univariate analysis was carried out to evaluate predictors of grade 3 or more neutropenia and/or febrile neutropenia. Of 34 patients enrolled at our institution from December 2010 to December 2011, 32 had received at least one dose of cabazitaxel and were included in the analysis. Patients received a median of 10 cabazitaxel cycles. Grade 3 or more neutropenia was common, occurring in 64.5% of patients. Three patients (9.3%) developed febrile neutropenia. Twenty-seven patients received prophylaxis with G-CSF during at least one cycle using peg-filgrastim. The risk of grade 3 or more neutropenia and/or febrile neutropenia per patient and per cycle was seven times lower when G-CSF was used. Baseline neutrophil count of less than 4570/mm was the strongest predictor of grade 3 or more neutropenia and/or febrile neutropenia. No toxic death was reported. Only one patient discontinued cabazitaxel because of an adverse event. Our analysis suggests that prophylaxis with peg-filgrastim may considerably reduce the incidence of grade 3 or more neutropenia and, possibly, of febrile neutropenia in mCRPC patients treated with cabazitaxel. Further analyses involving a larger population are warranted to confirm our results.

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)0.002
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.296
Teacher spread0.284 · 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".

Quick stats

Citations33
Published2012
Admission routes1
Has abstractyes

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