Evidence map›Paper›PMID 42876972›Full record

ArticleGlobal & regional health technology assessment

Determining value and the contribution of ciclosporin-based therapies in dry eye disease: a European expert MCDA pilot study.

Sajjad Ahmad, Francisco Figueiredo, Marc Labetoulle, Elisabeth M Messmer, Stefan Schrader, Philipp Steven, José M Benítez-Del-Castillo

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Article in Global & regional health technology assessment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Sajjad AhmadMoorfields Eye Hospital, UCL Institute of Ophthalmology, London - United Kingdom.ORCID https://orcid.org/0000-0002-8336-4314
Francisco FigueiredoBiosciences Institute, Faculty of Medical Sciences, Newcastle University & Department of Ophthalmology, Royal Victoria Infirmary, Newcastle upon Tyne Hospitals NHS Foundation, Newcastle upon Tyne - United Kingdom.
Marc LabetoulleOphthalmology Department, Bicêtre Hospital, Paris-Saclay University & Hôpital des Quinze-Vingts, Paris - France.
Elisabeth M MessmerDepartment of Ophthalmology, Ludwig Maximilian University (LMU), Munich - Germany.
Stefan SchraderDepartment of Ophthalmology, Carl von Ossietzky University Oldenburg, Pius-Hospital, University Medicine Oldenburg (UMO), Oldenburg - Germany.ORCID https://orcid.org/0009-0000-7006-8359
Philipp StevenCenter for Integrated Oncology, Clinic I for Internal Medicine and Department of Ophthalmology, Medical Faculty and University Hospital Cologne, Cologne - Germany.
José M Benítez-Del-CastilloUniversity Complutense, Hospital Clínico San Carlos, Clínica Ocumed-Rementería, Madrid - Spain.ORCID https://orcid.org/0000-0002-2010-1701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dry eye disease (DED) is a multifactorial, immune-mediated inflammatory condition affecting the ocular surface and lacrimal glands. Multiple ciclosporin-based therapies with different formulations are currently available in Europe, although clear guidance on their optimal use remains limited. The aim of this study was to determine the main unmet needs and the current management landscape of ciclosporin-based therapies, from the perspective of clinical experts using multi-criteria decision analysis (MCDA). Methods: A systematic literature review was conducted to gather evidence for each of the MCDA framework criteria. An international expert panel of seven clinical specialists in DED from four European countries independently weighted the criteria and scored the non-comparative criteria in the evidence matrix. Results were presented and discussed in a group online session. Results: DED is a highly prevalent, chronic inflammatory disease associated with significant visual and functional burden. Its management is not uniform and often involves a stepwise approach. Recent ciclosporin-based treatment alternatives address some unmet needs; however, others-such as the need for greater standardization of diagnostic tools and improved objective markers of inflammation-remain to be addressed. Highest importance was assigned to Efficacy/effectiveness (4.7 ± 0.5), Quality of evidence (4.7 ± 0.5), and Safety/tolerability (4.6 ± 0.5) criteria, highlighting the relevance of treatment-related outcomes in clinical decision-making. Conclusions: The expert opinion, based on MCDA, enabled the identification of key value drivers and unmet needs in the current management of DED based on ciclosporin-based therapies. These early insights may contribute to promoting future work to support informed, evidence-based decision-making.

Indexed as

CiclosporinDry eye diseaseMulti-criteria decision analysis

Identifiers

PMID42876972
PMCPMC13662475

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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.