Evidence map›Paper›PMID 24643323›Full record

ReviewPharmacoEconomics2014

Cost-effectiveness analyses in multiple sclerosis: a review of modelling approaches.

Shien Guo, Christopher Pelligra, Catherine Saint-Laurent Thibault, Luis Hernandez, Anuraag Kansal

Abstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. New insights into the burden and costs of multiple sclerosis in Europe.Multiple sclerosis (Houndmills, Basingstoke, England) · 2017
    Article
  12. Review
  13. Review
  14. Article
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

5 authors.

Shien GuoEvidera, 430 Bedford St., Suite 300, Lexington, MA, 02420, USA, shien.guo@evidera.com.
Christopher Pelligra
Catherine Saint-Laurent Thibault
Luis Hernandez
Anuraag Kansal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growing number of disease-modifying treatments (DMTs) for patients with multiple sclerosis (MS) and the high acquisition costs of these DMTs are likely to increase the demand for information on their cost effectiveness. To improve the comparability and applicability of the findings from future cost-effectiveness analyses, it would be useful to have a clear understanding of the methodological challenges of modelling the cost effectiveness of DMTs in MS and the different approaches taken by such studies to date. In contrast to previous review studies, this review focuses on long-term time horizon (≥10 years) simulation-based cost-effectiveness analyses with homogeneous contexts of analysis (i.e. those with similar study objectives, comparators, and target populations) published over the past decade. By doing so, it provides a clearer picture of how modelling approaches taken in the existing studies truly differ across studies, and reveals major areas for improvement in conducting future cost-effectiveness analyses of DMTs for patients with MS.

Indexed as

Adjuvants, ImmunologicAntibodies, Monoclonal, HumanizedAntineoplastic AgentsCost-Benefit AnalysisDisease ProgressionHumansImmunosuppressive AgentsModels, EconomicMultiple SclerosisAdjuvants, ImmunologicAntibodies, Monoclonal, HumanizedAntineoplastic AgentsImmunosuppressive Agents

Identifiers

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.