Pegfilgrastim: a review of the pharmacoeconomics for chemotherapy-induced neutropenia
Bibliographic record
Abstract
For oncology patients, febrile neutropenia (FN) can be a serious and costly toxicity of chemotherapy, often forcing a reduction in chemotherapy dose intensity and/or duration. Several therapeutic agents are used to reduce the occurrence of neutropenic episodes: granulocyte colony-stimulating factors (G-CSFs) and granulocyte-macrophage colony-stimulating factors. Appropriate administration of colony-stimulating factors reduces the risk of FN episodes and the costs associated with FN treatment. In the USA, the two most commonly used G-CSFs are filgrastim and the longer-acting pegfilgrastim. This pharmacoeconomic review of pegfilgrastim briefly considers some of the early research of G-CSFs, then focuses on the most recent comparative studies of pegfilgrastim against the backdrop of forthcoming US patent expiration for both products. The authors conclude with commentary on the market for pegfilgrastim in light of the growing debate surrounding the optimal selection of patients, treatment costs and future alternatives for the use of these agents in 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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".