Evidence map›Paper›PMID 36451072›Full record

SynthesisAdvances in therapy2023

Valuation of Treatments for Rare Diseases: A Systematic Literature Review of Societal Preference Studies.

Omar Dabbous, Lylia Chachoua, Samuel Aballéa, Marine Sivignon, Ulf Persson, Stavros Petrou, Jeff Richardson, Steven Simoens, Mondher Toumi

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Advances in therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. A systematic literature review of economic evaluations of setmelanotide.European journal of clinical pharmacology · 2026
    Pooled it
  2. Pooled it
  3. What Drives Public Preference for Rare Drugs Coverage in China? Insights From a Multi-Center Discrete Choice Experiment.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  4. Article
  5. Article
  6. Advances in Cell and Gene Therapy for Rare Disease Treatment.International journal of stem cells · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Orphan Drugs and Diseases: A Systematic Review.Journal of pharmacy & bioallied sciences
    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

9 authors at 7 institutions in 6 countries.

Omar DabbousNovartis Gene Therapies, Inc., 2275 Half Day Road, Suite 200, Bannockburn, IL, 60015, USA. omar.dabbous@novartis.com.ORCID http://orcid.org/0000-0002-0788-9012
Lylia ChachouaCreativ-Ceutical, Paris, France.
Samuel AballéaCreativ-Ceutical, Paris, France.
Marine SivignonCreativ-Ceutical, Paris, France.
Ulf PerssonIHE, Swedish Institute for Health Economics, Lund, Sweden.
Stavros PetrouNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Jeff RichardsonMonash Business School, Monash University, Victoria, Australia.
Steven SimoensDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Mondher ToumiAix-Marseille Université, Marseille, France.
Creativ-Ceutical (France) · FRAix-Marseille Université · FRKU Leuven · BEMonash University · AUNovartis (United States) · USSwedish Institute for Health Economics · SEUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWe sought to synthesize published empirical studies that elicited and characterized societal valuations of orphan drugs and the attributes that may drive different valuations for orphan drugs versus other treatments.

methodsWe conducted a systematic literature review (SLR) in MEDLINE and EMBASE databases up to November 2, 2020. Search terms covered societal preferences and attributes of orphan drugs (e.g., disease prevalence, severity, burden, unmet needs, and benefits).

resultsWe identified 38 eligible publications: 33 societal preference studies and 5 reviews discussing societal valuations and attributes of orphan drugs. Most publications suggested that a majority of respondents favored allocating funds to more prevalent diseases. However, trade-off studies and discrete-choice experiments found that survey participants chose to allocate resources to orphan drugs even when the cost per unit of health benefit was greater than for therapies for more prevalent diseases. Overall, 19 of 27 studies assessing severity in treatment valuation revealed that respondents prioritized patients with severe diseases over those with milder ones for equal health benefits. Members of the general public tended to prefer treatments for diseases with no alternative or when existing alternatives had limited efficacy over diseases with clear therapeutic alternatives. There was evidence that individuals preferred sharing resources, so no patient was left without treatment.

conclusionsOur SLR indicates the general public typically attaches greater value to orphan drugs than to other treatments for common diseases. This is not because of rarity per se, but primarily because of disease severity and lack of therapeutic alternatives typically associated with rare diseases.

Indexed as

Orphan Drug ProductionRare DiseasesCost-Benefit AnalysisHumansPatient AcuitySurveys and QuestionnairesOrphan drugsRare diseasesSocietal preferencesSystematic literature reviewTreatments for rare diseasesValuation

Identifiers

PMID36451072
PMCPMC9898379
OpenAlexW4310482365

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.