Evidence map›Paper›PMID 29808418›Full record

ArticleBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy2018

Determining the Value of Two Biologic Drugs for Chronic Inflammatory Skin Diseases: Results of a Multi-Criteria Decision Analysis.

Néboa Zozaya, Lucía Martínez-Galdeano, Bleric Alcalá, Jose Carlos Armario-Hita, Concepción Carmona, Jose Manuel Carrascosa, Pedro Herranz, María Jesús Lamas, Marta Trapero-Bertran, Álvaro Hidalgo-Vega

Open access · hybridAbstract read
In one paragraph

Article in BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 28 citations in OpenAlex.

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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

10 authors at 7 institutions in 1 country.

Néboa ZozayaDepartment of Health Economics, Weber Economía y Salud, c/Norias 123, Majadahonda, 28221, Madrid, Spain. neboa.zozaya@weber.org.es.ORCID http://orcid.org/0000-0003-4618-6894
Lucía Martínez-GaldeanoDepartment of Health Economics, Weber Economía y Salud, c/Norias 123, Majadahonda, 28221, Madrid, Spain.
Bleric AlcaláDepartment of Health Economics, Weber Economía y Salud, c/Norias 123, Majadahonda, 28221, Madrid, Spain.ORCID http://orcid.org/0000-0001-8086-1692
Jose Carlos Armario-HitaDepartment of Dermatology, University Hospital of Puerto Real, Puerto Real, Cádiz, Spain.
Concepción CarmonaDepartment of Healthcare, Servicio Extremeño de Salud, Mérida, Badajoz, Spain.
Jose Manuel CarrascosaDepartment of Dermatology, Hospital Universitari Germans Trias i Pujol, Badalona, Barcelona, Spain.ORCID http://orcid.org/0000-0003-4266-0771
Pedro HerranzDepartment of Dermatology, La Paz Universitary Hospital-Carlos III, Madrid, Spain.
María Jesús LamasServicio de Farmacia, Complejo Hospitalario Universitario de Santiago, Santiago de Compostela, La Coruña, Spain.
Marta Trapero-BertranFaculty of Economics and Social Sciences, Universitat Internacional de Catalunya, Barcelona, Spain.ORCID http://orcid.org/0000-0002-9233-1776
Álvaro Hidalgo-VegaFundación Weber, Majadahonda, Madrid, Spain.ORCID http://orcid.org/0000-0003-1031-2051
Weber · ESComplejo Hospitalario Universitario de Santiago · ESHospital Universitari Germans Trias i Pujol · ESHospital Universitario La Paz · ESHospital Universitario Puerto Real · ESServicio de Salud de Castilla La Mancha · ESUniversitat Internacional de Catalunya · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveMulti-criteria decision analysis (MCDA) is a tool that systematically considers multiple factors relevant to health decision-making. The aim of this study was to use an MCDA to assess the value of dupilumab for severe atopic dermatitis compared with secukinumab for moderate to severe plaque psoriasis in Spain.

methodFollowing the EVIDEM (Evidence and Value: Impact on DEcision Making) methodology, the estimated value of both interventions was obtained by means of an additive linear model that combined the individual weighting (between 1 and 5) of each criterion with the individual scoring of each intervention in each criterion. Dupilumab was evaluated against placebo, while secukinumab was evaluated against placebo, etanercept and ustekinumab. A retest was performed to assess the reproducibility of weights, scores and value estimates.

resultsThe overall MCDA value estimate for dupilumab versus placebo was 0.51 ± 0.14. This value was higher than those obtained for secukinumab: 0.48 ± 0.15 versus placebo, 0.45 ± 0.15 versus etanercept and 0.39 ± 0.18 versus ustekinumab. The highest-value contribution was reported by the patients' group, followed by the clinical professionals and the decision makers. A fundamental element that explained the difference in the scoring between pathologies was the availability of therapeutic alternatives. The retest confirmed the consistency and replicability of the analysis.

conclusionsUnder this methodology, and assuming similar economic costs per patient for both treatments, the results indicated that the overall value estimated of dupilumab for severe atopic dermatitis was similar to, or slightly higher than, that of secukinumab for moderate to severe plaque psoriasis.

Indexed as

Antibodies, MonoclonalDecision Support TechniquesAntibodies, Monoclonal, HumanizedChronic DiseaseClinical Decision-MakingDermatitis, AtopicHumansPsoriasisSeverity of Illness IndexTreatment OutcomeAntibodies, MonoclonalAntibodies, Monoclonal, Humanizeddupilumabsecukinumab

Identifiers

PMID29808418
PMCPMC5990558
OpenAlexW2805995078

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.