Fuchs uveitis: A clinical analysis of 339 patients from India

Fuchs uveitis remains frequently underdiagnosed and overtreated in the Indian setting, often due to diagnostic challenges such as bilaterality, reliance on iris heterochromia in dark irides, and vitreous involvement. Our study suggests that systemic corticosteroids do not influence visual outcomes after cataract surgery in these patients.

Authors

Institutions

Publication Details

Journal
Indian Journal of Ophthalmology
Published
2025-10-28
DOI
https://doi.org/10.4103/ijo.ijo_1151_25
Primary Topic
Ocular Diseases and Behçet’s Syndrome
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fuchs uveitis: A clinical analysis of 339 patients from India

Jyotirmay Biswas, Suchitra Pradeep, Saloni Desai, Rakshita Deepak Kene et al.
Indian Journal of Ophthalmology
Ocular Diseases and Behçet’s Syndrome
article

Fuchs uveitis: A clinical analysis of 339 patients from India

Jyotirmay Biswas, Suchitra Pradeep, Saloni Desai, Rakshita Deepak Kene, Parthopratim Dutta Majumder, Amala George, Vinita Rao
article en

Abstract

Fuchs uveitis remains frequently underdiagnosed and overtreated in the Indian setting, often due to diagnostic challenges such as bilaterality, reliance on iris heterochromia in dark irides, and vitreous involvement. Our study suggests that systemic corticosteroids do not influence visual outcomes after cataract surgery in these patients.

Indian Journal of OphthalmologyVol. 73(11)
Sankara Nethralaya (IN)
Openalex Percentile: Top 55%
Ocular Diseases and Behçet’s Syndrome
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.