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Abstract P3-15-09: Impact of granulocyte colony-stimulating factors on febrile neutropenia risk during early-stage breast cancer treatment

2013· article· en· W1974867720 on OpenAlexaffabout
SS Ben Abdallah, Nathalie Letarte, Christine Messier, Danielle Charpentier, Louise Yelle, Rami Younan, Alain Bestawros

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsCentre Hospitalier de l’Université de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsMedicineFebrile neutropeniaFilgrastimDocetaxelInternal medicineBreast cancerCyclophosphamideChemotherapyNeutropeniaIncidence (geometry)EpirubicinOncologySurgeryCancer

Abstract

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Abstract Febrile neutropenia (FN) is a significant cause of both mortality and morbidity in patients undergoing adjuvant or neoadjuvant chemotherapy for early-stage breast cancer (ESBC). The risk of FN varies with respect to the type of chemotherapy used and patient-specific characteristics. Granulocyte colony-stimulating factors (G-CSF) are recommended, but not mandatory, as primary prophylaxis for patients at high-risk of FN. This study aimed to evaluate the impact of filgrastim and pegfilgastrim on the incidence of FN during adjuvant and neoadjuvant chemotherapy for ESBC. Risk factors for FN were also assessed. We conducted a retrospective cohort study that included 297 consecutive patients undergoing adjuvant or neoadjuvant chemotherapy for ESBC between May 2010 and May 2012. Patients on clinical trials were excluded. 173 patients (58%) received primary G-CSF prophylaxis whereas 124 (42%) did not. In patients receiving G-CSF prophylaxis, filgrastim was more commonly prescribed (59.9%), due to reimbursement reasons in Quebec. In total, 38 patients (12.8%) manifested at least one episode of FN. The incidence of FN was significantly reduced in patients receiving primary prophylaxis with G-CSF (p = 0.012). The most commonly prescribed chemotherapy protocols were FEC-D (5-Fluorouracil, epirubicin, cyclophosphamide followed by docetaxel), AC-T (Adriamycin, cyclophosphamide followed by paclitaxel), and TC (docetaxel and cyclophosphamide). The use of G-CSF as primary prophylaxis was associated with a decrease in FN incidence in patients receiving FEC-D and TC. Table 1 Incidence of febrile neutropenia in early-stage breast cancer chemotherapy G-CSF primary prophylaxis N = 173Absence of G-CSF prophylaxis N = 124 N (%)N (%) Febrile neutropenia (all chemotherapy)15 (9)23 (19)p = 0.012*TC4/51 (8)5/11 (45)p = 0.01*FEC-D6/59 (10)8/27 (30)p = 0.023*AC-T3/31 (10)8/63 (13)p = 0.668* denotes statistical significance at p < 0.05 One death occurred in a patient receiving FEC-D who had not received prophylaxis. There was no significant difference in the dosing of filgrastim between patients with FN (mean dose received = 5.289 mcg/kg) and those without FN (mean = 5.167mcg/kg) (p = 0.742). Furthermore, previously described risk factors for FN such as age, comorbidities and decreased baseline albumin were not associated with an increased of FN in our study. Although this was a retrospective study with inherent limitations, our cohort included, to our knowledge, the largest number of patients in a study of G-CSF use in ESBC. We found a statistically significant reduction of FN in patients receiving primary G-CSF prophylaxis. Primary prophylaxis should be routinely offered to patients undergoing chemotherapy for ESBC and in particular, to those receiving docetaxel-containing regimens. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P3-15-09.

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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.069
GPT teacher head0.416
Teacher spread0.347 · 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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Citations0
Published2013
Admission routes2
Has abstractyes

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