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Use of granulocyte colony stimulating factor (GCSF) in patients receiving highly myelosuppressive chemotherapy for breast cancer.

2017· article· en· W2890975237 on OpenAlexaffabout
Emily Kornelsen, Winson Y. Cheung

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsBaker Hughes (Canada)University of Waterloo
Fundersnot available
KeywordsMedicineInternal medicineNeutropeniaBreast cancerCohortCancerFebrile neutropeniaChemotherapyIncidence (geometry)PopulationGranulocyte colony-stimulating factorOncologySurgery

Abstract

fetched live from OpenAlex

e21677 Background:We hypothesized that GCSF use may be suboptimal in the real world despite prior research that shows prophylaxis with GCSF can reduce neutropenic fevers and hospitalizations. Our aims were to characterize patterns of GCSF use in a population-based cohort of breast cancer patients receiving highly myelosuppressive chemotherapy and to describe outcomes and predictors associated with appropriate GCSF prophylaxis. Methods:Patients diagnosed with breast cancer from 2008 to 2012, seen at any 1 of 5 comprehensive cancer centers in a Canadian province, and treated with chemotherapy that posed > 20% risk of neutropenic fever were reviewed. Associations between GCSF use and 1) patient and physician factors and 2) treatment outcomes, including rate of neutropenic fevers, were analyzed using regression models. Results:We included 805 women: median age was 52 (IQR 44 to 61) years, 40% reported smoking, 52% used alcohol regularly, 64% were ECOG 0, and 24% had private health insurance. In this cohort, 330 (41%) patients were given GCSF. Among those treated with GCSF, 132 (40%) and 198 (60%) individuals received GCSF as primary and secondary prophylaxis, respectively. Overall, neutropenia was noted in 467 (58%) cases while neutropenic fever was experienced by 161 (20%) patients. When compared to those who did not use GCSF, patients who used GCSF experienced a lower rate of neutropenia (14% vs. 61%, p < 0.01) and a decreased incidence of neutropenic fever (8% vs. 23%, p < 0.01). In regression models, patients lacking extended medical coverage (32% vs. 49%, p = 0.02), poor performance status (30% vs. 55%, p = 0.03), and those who were evaluated at non-teaching institutions (25% vs. 69% p < 0.01) were less likely to receive GCSF. Patients seen at non-teaching institutions were also given primary GCSF prophylaxis less frequently (16% vs 59%, p < 0.01) than those at teaching centers. Conclusions:GCSF prophylaxis was associated with improved neutropenia-related outcomes in the real world. Despite evidence-based recommendations, use of GCSF remains suboptimal in this population-based cohort of breast cancer patients receiving highly myelosuppressive chemotherapy.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.164
Threshold uncertainty score0.359

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.171
GPT teacher head0.487
Teacher spread0.317 · 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 teacher head, 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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Citations1
Published2017
Admission routes2
Has abstractyes

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