Evidence map›Paper›PMID 37331655›Full record

ArticleOphthalmology. Retina2023

CERKL-Associated Retinal Dystrophy: Genetics, Phenotype, and Natural History.

Malena Daich Varela, Emma S Duignan, Samantha R De Silva, Rola Ba-Abbad, Yu Fujinami-Yokokawa, Shaun Leo, Kaoru Fujinami, Omar A Mahroo, Anthony G Robson, Andrew R Webster and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Ophthalmology. Retina, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Experimental biology and medicine (Maywood, N.J.) · 2026
    Article
  4. Article
  5. Article
  6. Article
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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

11 authors.

Malena Daich VarelaMoorfields Eye Hospital, London, United Kingdom; UCL Institute of Ophthalmology, University College London, London, United Kingdom.
Emma S DuignanRoyal Victoria Eye and Ear Hospital, Dublin, Ireland.
Samantha R De SilvaMoorfields Eye Hospital, London, United Kingdom; UCL Institute of Ophthalmology, University College London, London, United Kingdom.
Rola Ba-AbbadOcular Genetics Services, King Khaled Eye Specialist Hospital, Riyadh, Saudi Arabia.
Yu Fujinami-YokokawaUCL Institute of Ophthalmology, University College London, London, United Kingdom; Laboratory of Visual Physiology, Division of Vision Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan; Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan.
Shaun LeoMoorfields Eye Hospital, London, United Kingdom.
Kaoru FujinamiMoorfields Eye Hospital, London, United Kingdom; UCL Institute of Ophthalmology, University College London, London, United Kingdom; Laboratory of Visual Physiology, Division of Vision Research, National Institute of Sensory Organs, National Hospital Organization Tokyo Medical Center, Tokyo, Japan.
Omar A MahrooMoorfields Eye Hospital, London, United Kingdom; UCL Institute of Ophthalmology, University College London, London, United Kingdom.
Anthony G RobsonMoorfields Eye Hospital, London, United Kingdom; UCL Institute of Ophthalmology, University College London, London, United Kingdom.
Andrew R WebsterMoorfields Eye Hospital, London, United Kingdom; UCL Institute of Ophthalmology, University College London, London, United Kingdom.
Michel MichaelidesMoorfields Eye Hospital, London, United Kingdom; UCL Institute of Ophthalmology, University College London, London, United Kingdom. Electronic address: michel.michaelides@ucl.ac.uk.

Funding

Department of HealthWellcome TrustWellcome Trust 099173/Z/12/ZWellcome Trust 206619/Z/17/Z
6 · The paper itself

Abstract

purposeTo analyze the clinical characteristics, natural history, and genetics of CERKL-associated retinal dystrophy in the largest series to date.

designMulticenter retrospective cohort study. SUBJECTS: Forty-seven patients (37 families) with likely disease-causing CERKL variants.

methodsReview of clinical notes, ophthalmic images, and molecular diagnosis from 2 international centers.

main outcome measuresVisual function, retinal imaging, and characteristics were evaluated and correlated.

resultsThe mean age at the first visit was 29.6 ± 13.9 years, and the mean follow-up time was 9.1 ± 7.4 years. The most frequent initial symptom was central vision loss (40%), and the most common retinal feature was well-demarcated areas of macular atrophy (57%). Seventy-seven percent of the participants had double-null genotypes, and 64% had electrophysiological assessment. Among the latter, 53% showed similar severity of rod and cone dysfunction, 27% revealed a rod-cone, 10% a cone-rod, and 10% a macular dystrophy dysfunction pattern. Patients without double-null genotypes tended to have fewer pigment deposits and included a higher proportion of older patients with a relatively mild electrophysiological phenotype. Longitudinal analysis showed that over half of the cohort lost 15 ETDRS letters or more in ≥ 1 eye during the first 5 years of follow-up.

conclusionsThe phenotype of CERKL-retinal dystrophy is broad, encompassing isolated macular disease to severe retina-wide involvement, with a range of functional phenotypes, generally not fitting in the rod-cone/cone-rod dichotomy. Disease onset is often earlier, with more severe retinal degenerative changes and photoreceptor dysfunction, in nullizygous cases. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

RetinaRetinal DystrophiesHumansPhenotypePhotoreceptor Cells, VertebrateRetrospective StudiesCone-rodDystrophyGeneticsInheritedRod-cone

Identifiers

PMID37331655
PMCPMC11108804

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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.