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Treatment strategies for low-risk febrile neutropenia in adult cancer patients: A cost-utility analysis.

2010· article· en· W2524891404 on OpenAlexaboutno aff
Oliver Teuffel, Eitan Amir, Lillian Sung, S. M. Alibhai

Bibliographic record

VenueJournal of Clinical Oncology · 2010
Typearticle
Languageen
FieldMedicine
TopicNeutropenia and Cancer Infections
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFebrile neutropeniaNeutropeniaCancerIntensive care medicineEmergency medicinePediatricsInternal medicineChemotherapy

Abstract

fetched live from OpenAlex

6102 Background: Febrile neutropenia remains a frequent complication of chemotherapy for adult cancer patients. There is uncertainty as to whether low-risk episodes are best managed in the inpatient or outpatient setting. Methods: A cost-utility model was created to compare four treatment strategies for low-risk febrile neutropenia in adult cancer patients. Event probabilities were retrieved from a formal systematic review and meta-analysis. Utilities were obtained from adult cancer patients. The base case was assumed to be an adult cancer patient with a first episode of low- risk febrile neutropenia. The model used a healthcare payer perspective in Ontario/Canada, and a time horizon of 30 days corresponding to one episode of febrile neutropenia. Four treatment strategies were evaluated: (1) entire treatment in hospital with intravenous antibiotics (HospIV), (2) early discharge strategy consisting of 48 hours inpatient observation with intravenous antibiotics, subsequently followed by oral outpatient treatment (EarlyDC), (3) entire outpatient management with intravenous antibiotics (HomeIV), and (4) entire outpatient management with oral antibiotics (HomePO). Outcome measures were quality-adjusted life months (QALMs), costs, and incremental cost-effectiveness ratios (ICER). Results: HomeIV was associated with both better health outcomes (0.797 QALM) and lower costs ($2,129) as compared to the other 3 strategies. Since HomePO (0.763 QALM; $2,309), EarlyDC (0.664 QALM; 5,647), and HospIV (0.661 QALM; $13,517) were all dominated, ICERs could not be determined. These results were sensitive to several event probabilities, utilities and costs. Beyond certain thresholds, the best strategy changed from HomeIV to the HomePO strategy. However, HospIV or EarlyDC management were never the preferred strategy in sensitivity analyses. Conclusions: For adult cancer patients with a first episode of febrile neutropenia, outpatient strategies were more effective and less costly compared with standard inpatient management. However, uncertainty remains whether intravenous or oral treatment might be the preferable route of drug administration in an ambulatory setting. No significant financial relationships to disclose.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Simulation or modelinglow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Simulation or modelinghigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.001
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 score0.083
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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 head0.074
GPT teacher head0.479
Teacher spread0.405 · 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

Labeled directly by 2 models reading the full record.

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".

Quick stats

Citations2
Published2010
Admission routes1
Has abstractyes

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