Evidence map›Paper›PMID 31619195›Full record

SynthesisBMC ophthalmology2019

Real-world data in retinal diseases treated with anti-vascular endothelial growth factor (anti-VEGF) therapy - a systematic approach to identify and characterize data sources.

Vincent Daien, Bora M Eldem, James S Talks, Jean-Francois Korobelnik, Paul Mitchell, Robert P Finger, Taiji Sakamoto, Tien Yin Wong, Obaro Evuarherhe, Gemma Carter and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in BMC ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. [Work reintegration in patients treated for diabetic macular edema].Revista medica del Instituto Mexicano del Seguro Social · 2026
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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.

Vincent DaienDepartment of Ophthalmology, Gui De Chauliac Hospital, Montpellier, France.
Bora M EldemFaculty of Medicine, Ophthalmology Department, Hacettepe University, Ankara, Turkey.
James S TalksDepartment of Ophthalmology, Royal Victoria Infirmary, Newcastle upon Tyne, UK.
Jean-Francois KorobelnikService d'ophtalmologie, CHU Bordeaux, France - Univ. Bordeaux, Inserm, Bordeaux, France.
Paul MitchellCentre for Vision Research, Westmead Institute for Medical Research, University of Sydney, Sydney, NSW, Australia.
Robert P FingerDepartment of Ophthalmology, University of Bonn, Bonn, Germany.
Taiji SakamotoDepartment of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Tien Yin WongSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore.
Obaro EvuarherheOxford PharmaGenesis, Oxford, UK.
Gemma CarterOxford PharmaGenesis, Oxford, UK.
Joao CarrascoBayer Consumer Care AG, Peter Merian-Strasse 84, 4052, Basel, Switzerland. joao.carrasco@bayer.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReal-world data (RWD) has been a valuable addition to the scientific literature regarding treatment pathways, clinical outcomes and characteristics of patients with retinal diseases in recent years. Registries, observational studies and patient databases are often used for real-world research. However, there is limited information for each data source on the design, consistency, data captured, limitations and usability for assessing research questions. Using a systematic approach, we identified RWD sources for patients with retinal diseases and assessed them for completeness of data relating to different outcomes.

methodsA systematic literature review was carried out to identify RWD sources for patients with retinal disease. Potentially relevant articles published between 2006 and 2016 were screened following electronic searches in Embase and MEDLINE. Congress and supplementary searches were undertaken to identify RWD sources that may not be referenced in full publications. For each data source, availability and quantity of data on baseline status, clinical outcomes, treatment and management, safety, and patient-reported and economic burden were assessed using a bespoke completeness assessment tool based on International Consortium for Health Outcomes Measurement guidelines for macular degeneration. Completeness of data for each area of interest in each data source was assessed and rated using a 'good-moderate-poor' rating system based on availability and quantity of available data. Each data source was then given an overall score based on its score for each of the 7 areas of interest.

resultsA total of 128 RWD sources from 32 countries were identified. Of the identified sources, 64 sources from 16 countries of interest were analyzed. Most of these sources provided information on baseline status and clinical outcomes and treatment, but few collected data on economic and patient-reported burden. Of the RWD sources analyzed, 10 scored highly in the overall completeness assessment, collecting data on most or all of the areas of interest; these sources are considered to be robust data sources for performing ophthalmology real-world studies.

conclusionsThe study provides a comprehensive list of RWD sources for patients with retinal disease, many of which will be useful for conducting real-world studies in the field of ophthalmology.

Indexed as

Visual AcuityAngiogenesis InhibitorsHumansInformation Storage and RetrievalIntravitreal InjectionsRetinal DiseasesVascular Endothelial Growth Factor AAngiogenesis InhibitorsVascular Endothelial Growth Factor AAge-related macular degenerationAnti-VEGFChoroidal neovascularizationDiabetic macular edemaReal-world dataRetinal diseasesRetinal vein occlusion

Identifiers

PMID31619195
PMCPMC6796465

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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.