Evidence map›Paper›PMID 37313789›Full record

SynthesisInternational journal of technology assessment in health care2023

A systematic review of economic evaluations for

Maria Farris, Stephen Goodall, Richard De Abreu Lourenco

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in International journal of technology assessment in health care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Maria FarrisMarket Access Department, Novartis Pharmaceuticals Australia, Macquarie Park, Australia.ORCID https://orcid.org/0000-0003-3542-7162
Stephen GoodallCentre for Health Economic Research and Evaluation, University of Technology Sydney, Ultimo, Australia.
Richard De Abreu LourencoCentre for Health Economic Research and Evaluation, University of Technology Sydney, Ultimo, Australia.
University of Technology Sydney · AUTeva Pharmaceuticals (Australia) · AU

Funding

Novartis
6 · The paper itself

Abstract

objectiveTo summarize the key methodological challenges identified by health technology assessment (HTA) agencies assessing gene therapy (GT) and consideration of broad elements of value.

methodEconomic evaluations (EEs) of voretigene neparvovec (VN) in

resultsEight unique EEs were identified of which six were evaluated by HTA agencies. Incremental cost-effectiveness ratios ranged from $68,951 to $643,813 per quality-adjusted life-years (QALY) gained (healthcare perspective) and dominant to $480,130 per QALY gained (societal perspective). The key challenges were the lack of validated surrogate outcome, utility values and indirect costs from IRD patients, and limited evidence of the long-term treatment effect. Two HTA agencies reviewed a range of novel broader elements of value and whether they were associated with VN while other agencies discussed some elements of broader value. Caregiver disutility was included in some, but not all, evaluations.

conclusionThe methodological challenges were consistent with innovative interventions for rare diseases and managed using standard methods. Broader value was important to decision-makers but inconsistently applied across agencies. Possible reasons are limitations in the evidence available of the broader benefits that VN offers and how to incorporate these within an EE. A need exists for greater guidance and consistency across jurisdictions regarding the consideration of broader value that considers latest best practice.

Indexed as

Retinal DiseasesTechnology Assessment, BiomedicalCost-Benefit AnalysisEnglandHumansScotlandbiomedicaldecision makinggenetic therapyretinal diseaseTechnology assessment

Identifiers

PMID37313789
PMCPMC11570094
OpenAlexW4380576466

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.