Evidence map›Paper›PMID 42814382›Full record

ArticlePharmacoEconomics2026

Modeling Framework for Economic Evaluation of Disease-Modifying Therapies in Parkinson's Disease: Evidence Review and Expert Opinion.

Anshul Shah, Richard Dodel, Saifuddin Kharawala, Katharina Klapper, Matthew May, Per Odin, Angelica Asis, Gennaro Pagano, Anna Kotzeva, Camille Carroll

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Anshul ShahHEOR and RWE, Red Nucleus, London, UK.
Richard DodelChair of Geriatric Medicine, Universität Duisburg-Essen, Essen, Germany.
Saifuddin KharawalaHEOR and RWE, Red Nucleus, London, UK.
Katharina KlapperThe Michael J. Fox Foundation for Parkinson's Research, New York, NY, USA.
Matthew MayF. Hoffmann-La Roche, Grenzacherstrasse 124, 4070, Basel, Switzerland.
Per OdinDivision of Neurology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
Angelica AsisParkinson Canada, Toronto, ON, Canada.
Gennaro PaganoF. Hoffmann-La Roche, Grenzacherstrasse 124, 4070, Basel, Switzerland.
Anna KotzevaF. Hoffmann-La Roche, Grenzacherstrasse 124, 4070, Basel, Switzerland. anna.kotzeva@roche.com.
Camille CarrollTranslational and Clinical Research Institute, Newcastle University, Newcastle, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParkinson's disease (PD) is associated with a substantial clinical, humanistic, and economic burden across its disease continuum. Economic models for PD have largely been developed to evaluate symptomatic therapies, and typically adopt narrow payer perspectives, focus on advanced disease stages, and rely on simplified state-transition structures that do not distinguish symptomatic relief from disease modification. As candidate disease-modifying therapies emerge, modeling approaches capable of evaluating long-term value under substantial uncertainty will become essential, particularly for health technology assessment decision makers.

objectiveWe aimed to (1) update and synthesize the evidence on published economic evaluations of PD treatments, and (2) develop an evidence-based, health technology assessment-aligned conceptual framework to inform future economic evaluations capable of assessing disease-modifying therapies across the full course of PD.

methodsWe conducted systematic searches from July 2022 to August 2025 to update the evidence base identified in an earlier systematic literature review, supplemented by pragmatic searches targeting PD conceptual models, natural history evidence, cost drivers, and outcome correlations. Based on evidence identified in the review, we developed a conceptual model and a modeling framework following international good-practice guidance. To assess face validity, we solicited structured feedback from an advisory panel comprising movement-disorder specialized clinicians with health-economic experience and representatives from PD patient advocacy organizations. After incorporating the panel's recommendations, we also evaluated potential modeling techniques for the framework implementation.

resultsWe identified persistent limitations in the evidence base, which comprised 30 economic evaluations. These included reliance on Hoehn and Yahr-based Markov cohort models, limited incorporation of the burden of non-motor symptoms, caregiver burden, societal costs, and inadequate representation of lifetime disease progression. Few models were structurally capable of separating disease-modifying from symptomatic treatment effects. Here, we developed a comprehensive conceptual model that spans the PD trajectory from diagnosis to death, distinguishes underlying neurodegeneration from symptomatic progression, and explicitly incorporates non-motor symptoms, long-term treatment complications, milestones such as institutionalization, and multi-perspective costs. We propose a hybrid modeling framework, combining early-stage continuous Movement Disorder Society-Unified Parkinson's Disease Rating Scale-based progression with advanced-stage discrete health states. Finally, we recommend an individual-level state-transition (microsimulation) approach to implement this hybrid framework.

conclusionsThe proposed clinician- and patient advocate-endorsed framework provides a structured foundation for future economic evaluations of disease-modifying therapies in PD. We recommend an individual-level state-transition (microsimulation) approach for the framework implementation, as a pragmatic balance between structural fidelity and health technology assessment feasibility, to support more credible lifetime value assessments of emerging disease-modifying therapies.

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.