Evidence map›Paper›PMID 38326894›Full record

ArticleOrphanet journal of rare diseases2024

Real-world evidence for coverage determination of treatments for rare diseases.

Victoria W Dayer, Michael F Drummond, Omar Dabbous, Mondher Toumi, Peter Neumann, Sean Tunis, Nelson Teich, Shadi Saleh, Ulf Persson, Johann-Matthias Graf von der Schulenburg and 3 more

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
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  3. Trial
  4. Review
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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

13 authors.

Victoria W DayerCHOICE Institute, School of Pharmacy, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, USA. vwinslow@uw.edu.ORCID 0000-0002-0188-4237
Michael F DrummondCentre for Health Economics, University of York, York, UK.
Omar DabbousNovartis Gene Therapies, Inc., Bannockburn, IL, USA.
Mondher ToumiFaculty of Medicine, Public Health Department, Aix-Marseille University, Marseille, France.
Peter NeumannTufts Medical Center, Boston, MA, USA.
Sean TunisRubix Health, Baltimore, MD, USA.
Nelson TeichBrazil Governance Network, Brasilia, Brazil.
Shadi SalehAmerican University of Beirut, Beirut, Lebanon.
Ulf PerssonThe Swedish Institute for Health Economics, Lund, Sweden.
Johann-Matthias Graf von der SchulenburgInstitute for Risk and Insurance, Leibniz University Hannover, Hanover, Germany.
Daniel C MaloneDepartment of Pharmacotherapy, University of Utah, Salt Lake City, UT, USA.
Tay SalimullahNovartis Gene Therapies, Inc., Bannockburn, IL, USA.
Sean D SullivanCHOICE Institute, School of Pharmacy, University of Washington, 1959 NE Pacific Street, Seattle, WA, 98195, USA.

Funding

Novartis Gene Therapies, Inc. Novartis Gene Therapies, Inc.
6 · The paper itself

Abstract

Health technology assessment (HTA) decisions for pharmaceuticals are complex and evolving. New rare disease treatments are often approved more quickly through accelerated approval schemes, creating more uncertainties about clinical evidence and budget impact at the time of market entry. The use of real-world evidence (RWE), including early coverage with evidence development, has been suggested as a means to support HTA decisions for rare disease treatments. However, the collection and use of RWE poses substantial challenges. These challenges are compounded when considered in the context of treatments for rare diseases. In this paper, we describe the methodological challenges to developing and using prospective and retrospective RWE for HTA decisions, for rare diseases in particular. We focus attention on key elements of study design and analyses, including patient selection and recruitment, appropriate adjustment for confounding and other sources of bias, outcome selection, and data quality monitoring. We conclude by offering suggestions to help address some of the most vexing challenges. The role of RWE in coverage and pricing determination will grow. It is, therefore, necessary for researchers, manufacturers, HTA agencies, and payers to ensure that rigorous and appropriate scientific principles are followed when using RWE as part of decision-making.

Indexed as

Rare DiseasesTechnology Assessment, BiomedicalHumansProspective StudiesRetrospective StudiesCell and gene therapyCoverage determinationCoverage with evidence developmentHealth technology assessmentRare diseaseReal world evidence

Identifiers

PMID38326894
PMCPMC10848432

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.