Economic costs of chemotherapy-induced febrile neutropenia among patients with non-Hodgkin’s lymphoma in European and Australian clinical practice
Bibliographic record
Abstract
BACKGROUND: Economic implications of chemotherapy-induced febrile neutropenia (FN) in European and Australian clinical practice are largely unknown. METHODS: Data were obtained from a European (97%) and Australian (3%) observational study of patients with non-Hodgkin's lymphoma (NHL) receiving CHOP (±rituximab) chemotherapy. For each patient, each cycle of chemotherapy within the course, and each occurrence of FN within cycles, was identified. Patients developing FN in a given cycle ("FN patients"), starting with the first, were matched to those who did not develop FN in that cycle ("comparison patients"), irrespective of subsequent FN events. FN-related healthcare costs (£2010) were tallied for the initial FN event as well as follow-on care and FN events in subsequent cycles. RESULTS: Mean total cost was £5776 (95%CI £4928-£6713) higher for FN patients (n = 295) versus comparison patients, comprising £4051 (£3633-£4485) for the initial event and a difference of £1725 (£978-£2498) in subsequent cycles. Among FN patients requiring inpatient care (76% of all FN patients), mean total cost was higher by £7259 (£6327-£8205), comprising £5281 (£4810-£5774) for the initial hospitalization and a difference of £1978 (£1262-£2801) in subsequent cycles. CONCLUSIONS: Cost of chemotherapy-induced FN among NHL patients in European and Australian clinical practice is substantial; a sizable percentage is attributable to follow-on care and subsequent FN events.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".