Evidence map›Paper›PMID 41735681›Full record

Observational studyEye (London, England)2026

Prevalence and patterns of anti-angiogenic treatment discontinuation in neovascular age-related macular degeneration-insights from health claims data.

Nicolas S Bodmer, Livia Faes, Nico Gross, Lucas M Bachmann, Carola Huber, Markus Näpflin, Martin K Schmid

Abstract readObservational Study
In one paragraph

Observational study in Eye (London, England), 2026. 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.

Nicolas S BodmerUniversity of Zurich Epidemiology, Biostatistics & Prevention Institute (EBPI), Zurich, Switzerland.ORCID http://orcid.org/0000-0001-5296-4109
Livia FaesUniversity of Zurich Epidemiology, Biostatistics & Prevention Institute (EBPI), Zurich, Switzerland.ORCID http://orcid.org/0000-0002-4159-3960
Nico GrossCantonal Hospital Winterthur, Winterthur, Switzerland.
Lucas M BachmannUniversity of Zurich Epidemiology, Biostatistics & Prevention Institute (EBPI), Zurich, Switzerland. bachmann@medignition.com.ORCID http://orcid.org/0000-0002-9868-154X
Carola HuberDepartment of Health Sciences, Helsana Group, Zürich, Switzerland.
Markus NäpflinDepartment of Health Sciences, Helsana Group, Zürich, Switzerland.
Martin K SchmidEye Clinic, Cantonal Hospital Lucerne, Lucerne, Switzerland.ORCID http://orcid.org/0000-0002-1618-9552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess patterns and institutional variability of anti-angiogenic treatment discontinuation in neovascular age-related macular degeneration (nAMD) within Switzerland, and to examine the association of digital home monitoring with treatment persistence.

methodsRetrospective observational analysis combined nationwide health insurance claims data (Helsana, n = 4840) and clinical data from a major tertiary centre (LUKS, n = 1932; nAMD subset n = 1387). Discontinuation was defined as no further injections for 31-365 days after the last intravitreal injection (IVI) and classified as supervised ( ≥ 1 follow-up visit in this period) or unsupervised (no follow-up visits in this period). Variability was evaluated among the 20 largest providers and across seven regions. Digital home monitoring's impact on non-persistence was assessed in the clinical cohort.

resultsSubstantial heterogeneity was observed. Supervised discontinuation ranged from 20.7 to 45.7% (pooled proportion 32.0%, 95% confidence interval [CI] 30.2-33.9%) and unsupervised from 10.9 to 25.7% (pooled proportion 18.2%, 95%CI 16.8-19.8%) across centres. In the LUKS cohort, 1-year persistence was 93.7%, dropping to 72.7% by year 4, with unsupervised discontinuation rising from 3.0 to 12.5%. In 100 patients using voluntary digital home monitoring non-persistence was less likely (adjusted OR 0.59, 95%CI 0.35-0.98); among those who discontinued, home-monitoring users were more likely to remain under supervision (74% vs 54%).

conclusionsTreatment discontinuation in nAMD is frequent and demonstrates striking institutional and regional variability. The heterogeneity in discontinuation patterns suggests that treatment persistence may be modifiable through targeted, systematic, and patient-centred interventions. Digital home monitoring may be a promising strategy to support engagement and reduce non-persistence.

Indexed as

Angiogenesis InhibitorsWet Macular DegenerationAgedAged, 80 and overFemaleHumansIntravitreal InjectionsMalePrevalenceRemote Patient MonitoringRetrospective StudiesSwitzerlandVascular Endothelial Growth Factor AAngiogenesis InhibitorsVascular Endothelial Growth Factor A

Identifiers

PMID41735681
PMCPMC13161405

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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.