Evidence map›Paper›PMID 42621365›Full record

ArticleOphthalmology science2026

Hard Exudates in Diabetic Macular Edema: Automated OCT Quantification and Longitudinal Response to Faricimab.

Giovanni Scalabrin, Francesco Perego, Matteo Capobianco, Daniele Veritti, Enrico Borrelli, Pasquale Viggiano, Giacomo Boscia, Francesco Bandello, Rosangela Lattanzio, Maria Vittoria Cicinelli

Abstract read
In one paragraph

Article in Ophthalmology science, 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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0citing papers in PubMed
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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.

Giovanni ScalabrinSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Francesco PeregoSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Matteo CapobiancoEye Clinic, Catania University, Policlinico G. Rodolico, Catania, Italy.
Daniele VerittiDepartment of Medicine - Ophthalmology, University of Udine, Udine, Italy.
Enrico BorrelliDepartment of Surgical Sciences, University of Turin, Turin, Italy.
Pasquale ViggianoDepartment of Translational Biomedicine Neuroscience, University of Bari "Aldo Moro", Bari, Italy.
Giacomo BosciaOspedale Generale Regionale F. Miulli, Acquaviva delle Fonti (BA), Italy.
Francesco BandelloSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Rosangela LattanzioSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy.
Maria Vittoria CicinelliSchool of Medicine, Vita-Salute San Raffaele University, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop and validate an automated OCT-based pipeline for hard exudates (HEs) quantification and to characterize their longitudinal evolution in eyes with diabetic macular edema (DME) treated with faricimab. Design: Retrospective, single-center observational study. Subjects: Treatment-naïve and previously treated DME eyes initiating intravitreal faricimab with ≥2 visits and a minimum follow-up of 3 months. Methods: All patients underwent best-recorded visual acuity (VA) assessment and serial OCT imaging (Spectralis HRA system, Heidelberg Engineering). A custom ImageJ-based pipeline was used to quantify HE across volumetric datasets. Extracted metrics included total lesion count, square-root-transformed area, lesion density, and spatial distribution. Faricimab was administered using a treat-and-extend regimen following a 3-monthly injection loading phase. Main Outcome Measures: Agreement with manual grading assessed using intraclass correlation coefficients and Bland-Altman analysis; longitudinal changes in VA, central subfield thickness (CST), and HE metrics modeled using linear mixed-effects models with evaluation of nonlinear trajectories via natural cubic splines and interaction effects with clinical and treatment-related predictors. Results: Eighty-three eyes from 65 patients (mean age 64 ± 10 years) were included, of which 72 (87%) presented with HE at baseline. Automated quantification showed good to excellent agreement with manual grading (intraclass correlation coefficient 0.85-0.92). Greater baseline HE area was associated with treatment-naïve status (β = 56.5, Conclusions: Automated OCT-based quantification enables reproducible assessment of HE burden and its longitudinal dynamics in DME. Faricimab treatment was associated with a significant, nonlinear reduction in HE, accompanied by improvements in CST and VA over follow-up. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

Diabetic macular edemaFaricimabHard exudatesImage analysisRetinal biomarkers

Identifiers

PMID42621365
PMCPMC13487605

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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.