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Record W2101955909 · doi:10.1586/erp.12.45

A review of cost–effectiveness of palivizumab for respiratory syncytial virus

2012· review· en· W2101955909 on OpenAlexaff
Julia M Hussman, Abby Li, Bosco Paes, Krista L. Lanctôt

Bibliographic record

VenueExpert Review of Pharmacoeconomics & Outcomes Research · 2012
Typereview
Languageen
FieldMedicine
TopicRespiratory viral infections research
Canadian institutionsSunnybrook Health Science CentreUniversity of TorontoMcMaster UniversitySunnybrook Hospital
Fundersnot available
KeywordsPalivizumabMedicineCost effectivenessIntensive care medicinePediatricsCost–utility analysisRespiratory systemRisk analysis (engineering)Internal medicine

Abstract

fetched live from OpenAlex

Palivizumab prophylaxis has been demonstrated to reduce the number of hospitalizations attributable to respiratory syncytial virus in high-risk infants. However, as palivizumab acquisition costs are high, quantifying cost-effectiveness is important. The primary aim of this review was to examine the cost-effectiveness of palivizumab across numerous indications in high-risk infants and to report on factors that may impact outcomes. A systematic literature search was conducted to identify pharmacoeconomic analyzes of palivizumab compared to no prophylaxis for respiratory syncytial virus in infants and young children. A total of 28 articles met inclusion criteria and were subsequently assigned quality scores according to the Quality of Health Economic Studies criteria. Results varied according to perspective, input parameters, outcome measures, populations and base-case and sensitivity analyses. Overall, cost-effectiveness results were inconsistent. Some studies reported favorable outcomes, while others did not, or were inconclusive. Factors to consider in the interpretation of such economic evaluations are discussed.

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)0.024
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.608
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0110.004
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.243
GPT teacher head0.633
Teacher spread0.390 · 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.

Study designSystematic review
Domainnot available
GenreReview

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

Citations26
Published2012
Admission routes1
Has abstractyes

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