Evidence map›Paper›PMID 42446620›Full record

ArticleOphthalmology and therapy2026

Prevalence and Visual Acuity Characteristics of Patients with Macular Telangiectasia.

Danah A Younis, Daniel X Chen, Siyan Chen, AnMarie Nguyen, Bobeck S Modjtahedi

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Article in Ophthalmology and therapy, 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Danah A YounisDepartment of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
Daniel X ChenDepartment of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA.
Siyan ChenDepartment of Research and Evaluation, Southern California Permanente Medical Group, Pasadena, CA, USA.
AnMarie NguyenDepartment of Research and Evaluation, Southern California Permanente Medical Group, Pasadena, CA, USA.
Bobeck S ModjtahediDepartment of Clinical Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA. bobmodj@gmail.com.ORCID http://orcid.org/0000-0003-0717-0638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMacular telangiectasia (MacTel) is a neurodegenerative retinal disease with progressive visual decline. Contemporary prevalence estimates based on diverse patient populations are required to better understand this condition.

methodsThis was a retrospective cross-sectional study conducted at Kaiser Permanente Southern California that included patients over 18 years of age who underwent ophthalmology or optometry evaluations between January 1, 2020 and September 1, 2025. The primary outcome was prevalence of macular telangiectasia (MacTel) based on clinician diagnoses. Secondary outcomes included mean visual acuity and distribution of visual acuity (≥ 20/25, ≥ 20/40, ≥ 20/80, ≥ 20/200, and < 20/200) analyzed separately for all eyes as well as better- and worse-seeing eyes. Logistic regressions were performed to compare prevalence between different demographic groups with calculation of adjusted prevalence rates and adjusted odds ratios (aOR).

resultsOf 1,927,300 patients who had seen an eye care provider during the study period, 1224 were diagnosed with MacTel (prevalence 0.06%). The mean age of patients with MacTel was 65.5 years (SD 11.2). Compared to those between the ages of 18-39 (adjusted prevalence 0.01%), MacTel was more common in the 40-59 (adjusted prevalence 0.05%, OR 9.61 95% CI 6.39-14.45, p < 0.01) and ≥ 60 age groups (adjusted prevalence 0.10%, OR 20.36 95% CI 13.66-30.34, p < 0.001). MacTel was more common in women (adjusted prevalence 0.04%, OR 1.31 95% CI 1.17-1.47) and less common in non-white patients, with all comparisons except with Hispanic patients reaching statistical significance (white adjusted prevalence 0.05%, reference group; Asian adjusted prevalence 0.03%, OR 0.69, 95% CI 0.57-0.84, p < 0.001; Black adjusted prevalence 0.02%, OR 0.55 95% CI 0.43-0.71, p < 0.001; Hispanic adjusted prevalence 0.04%, OR 0.93, 95% CI 0.81-1.06, p = 0.27; other/unknown adjusted prevalence 0.03%, OR 0.74, 95% CI 0.58-0.95, p = 0.02). Mean visual acuity was 0.38 logMAR (~ 20/50) for all eyes, 0.23 logMAR (~ 20/40) in the better-seeing eye, and 0.53 logMAR (~ 20/70) in the worse-seeing eye. Among all eyes, 26.8% had VA ≥ 20/25, 58.3% ≥ 20/40, 85.0% ≥ 20/80, 94.6% ≥ 20/200, and 5.4% < 20/200.

conclusionMacTel was identified in 0.06% of adults in this large diverse USA-based cohort. Visual acuity was symmetric between eyes, with an average of 20/40 in better-seeing eyes. These findings provide contemporary real-world data to inform clinical understanding and research. Demographic differences in disease prevalence highlight the need to ensure diverse patient representation in future studies and clinical outreach.

Indexed as

EpidemiologyMacular telangiectasia (MacTel)PrevalenceVisual acuity

Identifiers

PMID42446620
PMCPMC13518671

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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.