Evidence map›Paper›PMID 32794011›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2020

HTA methodology and value frameworks for evaluation and policy making for cell and gene therapies.

Doug Coyle, Isabelle Durand-Zaleski, Jasmine Farrington, Louis Garrison, Johann-Matthias Graf von der Schulenburg, Wolfgang Greiner, Louise Longworth, Aurélie Meunier, Anne-Sophie Moutié, Stephen Palmer and 6 more

Abstract read
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In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 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

37 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  3. A systematic review of economic evaluations forInternational journal of technology assessment in health care · 2023
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  15. A situational and stakeholder analysis of health technology assessment in Zimbabwe.International journal of technology assessment in health care · 2024
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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

16 authors.

Doug CoyleUniversity of Ottawa, Ottawa, Canada.
Isabelle Durand-ZaleskiUniversity of Paris Est, Champs-Sur-Marne, France.
Jasmine FarringtonPHMR Ltd, London, UK.
Louis GarrisonUniversity of Washington, Seattle, USA.
Johann-Matthias Graf von der SchulenburgCenter for Health Economics Research, Hannover, Hannover, Germany.
Wolfgang GreinerBielefeld University, Bielefeld, Germany.
Louise LongworthBielefeld University, Bielefeld, Germany.
Aurélie MeunierPHMR Ltd, London, UK.
Anne-Sophie MoutiéPHMR Ltd, London, UK. Anne-sophiemoutie@phmr.com.ORCID http://orcid.org/0000-0002-9879-6830
Stephen PalmerCenter for Health Economics, University of York, York, UK.
Zack Pemberton-WhiteleyAcute Leukemia Advocates Network (ALAN)-Chair, Bern, Switzerland.
Mark RatcliffePHMR Ltd, London, UK.
Jie ShenNovartis, Basel, Switzerland.
Doug SprouleAveXis, Chicago, USA.
Kun ZhaoChina National Health Development Research Center, Beijing, China.
Koonal ShahPHMR Ltd, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This last decade has been marked by significant advances in the development of cell and gene (C&G) therapies, such as gene targeting or stem cell-based therapies. C&G therapies offer transformative benefits to patients but present a challenge to current health technology decision-making systems because they are typically reviewed when clinical efficacy data are very limited and when there is uncertainty about the long-term durability of outcomes. These challenges are not unique to C&G therapies, but they face more of these barriers, reflecting the need for adapting existing value assessment frameworks. Still, C&G therapies have the potential to be cost-effective even at very high price points. The impact on healthcare budgets will depend on the success rate of pipeline assets and on the extent to which C&G therapies will expand to wider pathologies beyond rare or ultra-rare diseases. Getting pricing and reimbursement models right is important for incentivising research and development investment while not jeopardising the sustainability of healthcare systems. Payers and manufacturers therefore need to acknowledge each other's constraints-limitations in the evidence generation on the manufacturer side, budget considerations on the payer side-and embrace innovative thinking and approaches to ensure timely delivery of therapies to patients. Several experts in health technology assessment and clinical experts have worked together to produce this publication and identify methodological and policy options to improve the assessment of C&G therapies, and make it happen better, faster and sustainably in the coming years.

Indexed as

Cell- and Tissue-Based TherapyGenetic TherapyPolicy MakingRare DiseasesTechnology Assessment, BiomedicalCost-Benefit AnalysisHumansAdvanced therapy medicinal productsBudget impactCell therapyCost-effectivenessGene therapyHealth policyHealth Technology AssessmentInnovationOrphan drugsPatient accessPricing and reimbursementRisk sharingValue-based pricing

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.