Evidence map›Paper›PMID 42023662›Full record

Observational studyInvestigative ophthalmology & visual science2026

Early Functional Biomarkers of Idiopathic Epiretinal Membrane Progression: A 24-Month Prospective Observational Study.

Paola Marolo, Xuenan Zhuang, Enrico Borrelli, Francesco Gelormini, Federico Ricardi, Beatrice Ghezzo, Veronica Vallino, Valentina Marica, Michela Crugnola, Andrea Giovine and 3 more

Abstract readObservational Study
In one paragraph

Observational study in Investigative ophthalmology & visual 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.

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

13 authors.

Paola MaroloDepartment of Surgical Sciences, Section of Ophthalmology, University of Turin, Turin, Italy.
Xuenan ZhuangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Enrico BorrelliDepartment of Surgical Sciences, Section of Ophthalmology, University of Turin, Turin, Italy.
Francesco GelorminiDepartment of Surgical Sciences, Section of Ophthalmology, University of Turin, Turin, Italy.
Federico RicardiDepartment of Surgical Sciences, Section of Ophthalmology, University of Turin, Turin, Italy.
Beatrice GhezzoDepartment of Surgical Sciences, Section of Ophthalmology, University of Turin, Turin, Italy.
Veronica VallinoDepartment of Surgical Sciences, Section of Ophthalmology, University of Turin, Turin, Italy.
Valentina MaricaDepartment of Surgical Sciences, Section of Ophthalmology, University of Turin, Turin, Italy.
Michela CrugnolaDepartment of Surgical Sciences, Section of Ophthalmology, University of Turin, Turin, Italy.
Andrea GiovineDepartment of Surgical Sciences, Section of Ophthalmology, University of Turin, Turin, Italy.
Guglielmo ParisiDepartment of Surgical Sciences, Section of Ophthalmology, University of Turin, Turin, Italy.
Matteo FallicoDepartment of Ophthalmology, University of Catania, Catania, Italy.
Michele ReibaldiDepartment of Surgical Sciences, Section of Ophthalmology, University of Turin, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To identify early functional biomarkers of progression in idiopathic epiretinal membrane (iERM) eyes managed conservatively, with particular emphasis on near-vision performance. Methods: In this prospective cohort study, 60 eyes with iERM and non-cataractous phakic lenses were examined at baseline, 12 months, and 24 months. Functional assessments included distance best-corrected visual acuity (distance BCVA, logMAR), near best-corrected visual acuity (near BCVA, logMAR), reading acuity (RA), critical print size (CPS), and maximum reading speed (MaxRS), all obtained using standardized protocols. Structural imaging included spectral-domain optical coherence tomography (SD-OCT) with retinal layer segmentation and en face A-zone area quantification. Eyes were classified as non-, slow, or fast progressors based on a letter loss of ≤5, 6 to 9, or ≥10 (or surgery) in distance BCVA. Available case analyses were performed (n = 58 at 12 months; n = 52 at 24 months). Results: Distance BCVA showed small mean changes at 12 months (+8.3%) and 24 months (+12.1%), reaching statistical significance only in fast progressors (P < 0.001). Near BCVA demonstrated larger variations (+16.7% at 12 months; +25.0% at 24 months), with significant worsening in slow and fast progressors. Reading measures showed earlier and more pronounced decline: RA increased by +16.7% at 12 months and +25.0% at 24 months, CPS enlarged by +21.7% and +30.4%, and MaxRS decreased by -22.4% and -35.7%, respectively, with the greatest deterioration in fast progressors. A-zone enlargement (β = 0.42, P < 0.001) and inner nuclear layer thickening (β = 0.36, P = 0.008) independently predicted CPS worsening, whereas central macular thickness and ellipsoid-zone disruption predicted distance BCVA decline. Conclusions: Near-vision parameters capture early functional deterioration in iERM more sensitively than distance BCVA or thickness-based OCT metrics. Incorporating near-vision performance into routine monitoring may improve detection of functional progression and complement longitudinal clinical monitoring.

Indexed as

Epiretinal MembraneVisual AcuityAgedBiomarkersDisease ProgressionFemaleFollow-Up StudiesHumansMaleMiddle AgedProspective StudiesTime FactorsTomography, Optical CoherenceBiomarkers

Identifiers

PMID42023662
PMCPMC13109896

What OpenQuestion holds

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Registered trials

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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.