Evidence map›Paper›PMID 42652879›Full record

ArticleJournal of clinical medicine2026

Artificial Intelligence-Assisted Analysis of Retinal Pigment Epithelium Tears in Patients with Neovascular Age-Related Macular Degeneration Treated with Aflibercept (2 mg and 8 mg) and Faricimab: A Single-Centre Retrospective Case Series.

Veronika Eggarter, Ludovico Ruscitti, Niccolò Ascioti, Matteo Bonanata, Arianna Peyla, Filippo Simona, Moreno Menghini, Gabriela Grimaldi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 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

8 authors.

Veronika EggarterDepartment of Ophthalmology, Institute of Clinical Neurosciences of Southern Switzerland (INSI), Ente Ospedaliero Cantonale (EOC), 6962 Lugano, Switzerland.ORCID 0009-0009-4301-4377
Ludovico RuscittiDepartment of Ophthalmology, Institute of Clinical Neurosciences of Southern Switzerland (INSI), Ente Ospedaliero Cantonale (EOC), 6962 Lugano, Switzerland.
Niccolò AsciotiDepartment of Ophthalmology, Institute of Clinical Neurosciences of Southern Switzerland (INSI), Ente Ospedaliero Cantonale (EOC), 6962 Lugano, Switzerland.ORCID 0009-0008-9466-2289
Matteo BonanataDepartment of Ophthalmology, Institute of Clinical Neurosciences of Southern Switzerland (INSI), Ente Ospedaliero Cantonale (EOC), 6962 Lugano, Switzerland.ORCID 0009-0008-9145-509X
Arianna PeylaDepartment of Ophthalmology, Institute of Clinical Neurosciences of Southern Switzerland (INSI), Ente Ospedaliero Cantonale (EOC), 6962 Lugano, Switzerland.ORCID 0009-0000-5408-1625
Filippo SimonaPAX Eye Center, 6600 Locarno, Switzerland.
Moreno MenghiniDepartment of Ophthalmology, Institute of Clinical Neurosciences of Southern Switzerland (INSI), Ente Ospedaliero Cantonale (EOC), 6962 Lugano, Switzerland.ORCID 0000-0002-1432-2524
Gabriela GrimaldiDepartment of Ophthalmology, Institute of Clinical Neurosciences of Southern Switzerland (INSI), Ente Ospedaliero Cantonale (EOC), 6962 Lugano, Switzerland.ORCID 0000-0003-2435-7867

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

afliberceptanti-VEGF therapyartificial intelligencefaricimabmultimodal imagingneovascular age-related macular degeneration (nAMD)optical coherence tomography (OCT)pigment epithelial detachment (PED)retinal imagingretinal pigment epithelium tear

Identifiers

PMID42652879
PMCPMC13513911

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.