Evidence map›Paper›PMID 39542916›Full record

ReviewDie Ophthalmologie2025

[EyeMatics-Multicenter data evaluation of real-world data with interoperable medical informatics].

Lea Holtrup, Julian Varghese, Alexander K Schuster, Broder Poschkamp, Christopher Hampf, Dagmar Waltemath, Leonie Wahle, Myriam Lipprandt, David A Merle, Philipp Berens and 8 more

Registry-linked trialAbstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Die Ophthalmologie, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06810011 (EyeMatics - Eye Diseases "Treated" With Interoperable Medical Informatics), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT06810011 recruitingnot on this map

EyeMatics - Eye Diseases "Treated" With Interoperable Medical Informatics

TypeobservationalSponsorUniversity Hospital MuensterRan2024 to 2028Enrolled2,000ConditionsIntravitreal Injections
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

18 authors.

Lea HoltrupKlinik für Augenheilkunde, Universitätsklinikum Münster, Domagkstr. 15, 48149, Münster, Deutschland. lea.holtrup@ukmuenster.de.ORCID http://orcid.org/0009-0001-1392-8188
Julian VargheseInstitut für Medizinische Informatik, Universität Münster, Münster, Deutschland.ORCID http://orcid.org/0000-0002-7206-3719
Alexander K SchusterAugenklinik und Poliklinik der Universitätsmedizin Mainz, Johannes Gutenberg-Universität Mainz, Mainz, Deutschland.
Broder PoschkampKlinik und Poliklinik für Augenheilkunde, Universitätsmedizin Greifswald, Greifswald, Deutschland.
Christopher HampfInstitut für Community Medicine, Universitätsmedizin Greifswald, Greifswald, Deutschland.
Dagmar WaltemathCore Unit Datenintegrationszentrum, Universitätsmedizin Greifswald, Greifswald, Deutschland.
Leonie WahleKlinik für Augenheilkunde, Uniklinik RWTH Aachen, Aachen, Deutschland.
Myriam LipprandtInstitut für Medizinische Informatik, Uniklinik RWTH Aachen, Aachen, Deutschland.
David A MerleUniversitäts-Augenklinik Tübingen, Universitätsklinikum Tübingen, Tübingen, Deutschland.
Philipp BerensHertie Institute for AI in Brain Health, Eberhard Karls Universität Tübingen, Tübingen, Deutschland.
Oliver KohlbacherFachbereich Informatik, Universität Tübingen, Tübingen, Deutschland.
Vinodh KakkasseryKlinik für Augenheilkunde, Klinikum Chemnitz, Chemnitz, Deutschland.
Martin BartosDatenintegrationszentrum, Klinikum Chemnitz, Chemnitz, Deutschland.
Focke ZiemssenKlinik und Poliklinik für Augenheilkunde, Universitätsklinikum Leipzig, Leipzig, Deutschland.
Thomas WendtDatenintegrationszentrum, Universitätsklinikum Leipzig, Leipzig, Deutschland.
Katja HoffmannInstitut für Medizinische Informatik und Biometrie, Technische Universität Dresden, Dresden, Deutschland.
EyeMatics Study Group
Nicole EterKlinik für Augenheilkunde, Universitätsklinikum Münster, Domagkstr. 15, 48149, Münster, Deutschland.ORCID http://orcid.org/0000-0001-5617-346X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evaluation of real-world data (RWD) enables insights to be gained from a wide range of patient data collected in routine clinical practice. In addition, multicenter analyses represent a broad and representative patient population and have the potential to capture the actual treatment situation. As a basis for this, the definition of datasets and an infrastructure for data exchange is necessary. Data integration centers (DIC) have already been established at (university) hospitals throughout Germany in order to extract RWD for scientific analyses from the various source systems and integrate them into research-compatible data infrastructures. The project described here aims to demonstrate the added value of this data integration using a case of application in ophthalmology, defining a core dataset as an ophthalmology extension module and establishing a cross-site data exchange infrastructure. As a first step, the treatment success of eye diseases treated with intravitreal injection (IVI) should be improved. To achieve this goal a dashboard for clinical data is provided that clearly visualizes the merged data. Furthermore, algorithms will be developed to identify new imaging biomarkers that can be used for treatment monitoring and predict treatment outcomes.

Indexed as

Eye DiseasesMedical InformaticsMulticenter Studies as TopicOphthalmologyGermanyHumansIntravitreal InjectionsArtificial intelligenceCore datasetData exchangeEye diseasesIntravitreal injection

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.