Evidence map›Paper›PMID 31704701›Full record

ReviewThe British journal of ophthalmology2020

Macular dystrophies: clinical and imaging features, molecular genetics and therapeutic options.

Najiha Rahman, Michalis Georgiou, Kamron N Khan, Michel Michaelides

Abstract readReview
In one paragraph

Review in The British journal of ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 2 pooled it
–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

78 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. Case series: The value of fundus autofluorescence in inherited macular disease.Optometry and vision science : official publication of the American Academy of Optometry · 2026
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  20. Review

18 more citing papers are in PubMed but not listed here.

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

4 authors.

Najiha RahmanMoorfields Eye Hospital, London, UK.
Michalis GeorgiouMoorfields Eye Hospital, London, UK.ORCID 0000-0001-6397-8071
Kamron N KhanOphthalmology Department, St James's University Hospital, Leeds, UK.
Michel MichaelidesMoorfields Eye Hospital, London, UK michel.michaelides@ucl.ac.uk.

Funding

Wellcome TrustWellcome Trust 099173/Z/12/Z
6 · The paper itself

Abstract

Macular dystrophies (MDs) consist of a heterogeneous group of disorders that are characterised by bilateral symmetrical central visual loss. Advances in genetic testing over the last decade have led to improved knowledge of the underlying molecular basis. The developments in high-resolution multimodal retinal imaging have also transformed our ability to make accurate and more timely diagnoses and more sensitive quantitative assessment of disease progression, and allowed the design of optimised clinical trial endpoints for novel therapeutic interventions. The aim of this review was to provide an update on MDs, including Stargardt disease, Best disease, X-linked r etinoschisis, pattern dystrophy, Sorsby fundus dystrophy and autosomal dominant drusen. It highlights the range of innovations in retinal imaging, genotype-phenotype and structure-function associations, animal models of disease and the multiple treatment strategies that are currently in clinical trial or planned in the near future, which are anticipated to lead to significant changes in the management of patients with MDs.

Indexed as

Diagnostic ImagingMacular DegenerationMolecular BiologyTherapeuticsHumansABCA4ADDautosomal dominant drusenBEST1Best diseaseEFEMP1gene therapymacular dystrophypattern dystrophypharmacological therapyPRPH2retinaRS1Sorsby fundus dystrophyStargardt diseasestem cellsSTGDTIMP3X-linked retinoschisisXLRS

Identifiers

PMID31704701
PMCPMC7147237

What OpenQuestion holds

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Registered trials

None linked

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.