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G-CSF as Secondary Prophylaxis of Febrile Neutropenia In the Management of Advanced-Stage Hodgkin Lymphoma Treated with ABVD Chemotherapy: A Decision Analysis.

2010· article· en· W2466689542 on OpenAlexaff
J Graczyk, Matthew C. Cheung, Rena Buckstein, Kelvin Chan

Bibliographic record

VenueBlood · 2010
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsPrincess Margaret Cancer CentreHealth Sciences CentreSunnybrook Health Science Centre
Fundersnot available
KeywordsABVDMedicineFebrile neutropeniaInternal medicineNeutropeniaLife expectancyOncologyVinblastineChemotherapy regimenDacarbazineSurgeryChemotherapyPopulation

Abstract

fetched live from OpenAlex

Abstract Abstract 3831 Background: ABVD is the standard treatment for advanced stage Hodgkin Lymphoma (HL) with rates of complete remission achieved in the majority of patients treated. Current practice guidelines (American Society of Clinical Oncology, Smith TJ et al. JCO 2008) recommend the use of granulocyte colony stimulating factor (G-CSF) in secondary prophylaxis despite lack of a survival benefit and potential toxicities, including bleomycin pulmonary toxicity (BPT). Recently, small retrospective series and expert opinion (Horning S, ASH Education Program Book 2007) advocate for the omission of G-CSF, although this approach has not been prospectively studied. The purpose of this study was to perform a decision analysis that compared the life expectancy and quality-adjusted life expectancy of advanced-stage HL managed with and without secondary prophylactic G-CSF. Methods: We constructed a decision-analytic model to compare the strategy of secondary prophylaxis with G-CSF to a strategy of no G-CSF with severe neutropenia for a hypothetical cohort of 40 year-old patients with clinical stage IIB to IV Hodgkin Lymphoma treated with 8 cycles of ABVD chemotherapy. Markov models were used to simulate a 2-year clinical course of patients. Baseline probability estimates were derived from a systematic review of relevant published studies. Utilities for various health states were derived from expert opinion. One-way sensitivity analysis was performed on key variables such as severe neutropenia, febrile neutropenia and bleomycin pulmonary toxicity, as well as the utilites associated with these health states. Results: The life expectancy was 1.858 years for the G-CSF strategy and 1.875 years for no G-CSF, yielding a net expected benefit of 0.017 years for no G-CSF use in severe neutropenia. The quality-adjusted life expectancy was 1.371 years for the G-CSF strategy and 1.408 years for no G-CSF with a net expected benefit for no G-CSF of 0.037 QALYs. On microsimulation (10,000 trials), 96% of the simulations showed that the no G-CSF strategy is preferred to the use of G-CSF. This analysis was not sensitive to the odds ratio of lung toxicity with G-CSF, the hazard ratios of febrile neutropenia and severe neutropenia, the probability of death from febrile neutropenia, or the utilities associated with bleomycin pulmonary toxicity, hospitalization for febrile neutropenia and musculoskeletal pain from G-CSF. Conclusions: While the difference between the two strategies is small, our model predicted that for a 40 year-old patient with advanced-stage Hodgkin Lymphoma treated with ABVD chemotherapy, the strategy of avoiding use of G-CSF with severe neutropenia is preferred. This finding is robust across a wide range of sensitivity analyses. Disclosures: No relevant conflicts of interest to declare.

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)0.024
metaresearch head score (Gemma)0.031
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.031
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.008
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.005
GPT teacher head0.253
Teacher spread0.248 · 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 designSimulation or modeling
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
Published2010
Admission routes1
Has abstractyes

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