Evidence map›Paper›PMID 29875478›Full record

ArticleScientific reports2018

On the impact of different approaches to classify age-related macular degeneration: Results from the German AugUR study.

Caroline Brandl, Martina E Zimmermann, Felix Günther, Teresa Barth, Matthias Olden, Sabine C Schelter, Florian Kronenberg, Julika Loss, Helmut Küchenhoff, Horst Helbig and 3 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Pooled it
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  5. Central retinal volume derived from optical coherence tomography as a potential predictor of mortality in the old-aged population- results from the German AugUR study.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
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  8. Risk Factors of Age-Related Macular Degeneration in a Population-Based Study: Results from SHIP-TREND-1 (Study of Health in Pomerania-TREND-1).Medical science monitor : international medical journal of experimental and clinical research · 2024
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  9. Biomedicines · 2024
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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

13 authors.

Caroline BrandlDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Martina E ZimmermannDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Felix GüntherStatistical Consulting Unit StaBLab, Department of Statistics, Ludwig-Maximilians-University, Munich, Germany.
Teresa BarthDepartment of Ophthalmology, University Hospital Regensburg, Regensburg, Germany.
Matthias OldenDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Sabine C SchelterDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
Florian KronenbergDivision of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0003-2229-1120
Julika LossMedical Sociology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.
Helmut KüchenhoffStatistical Consulting Unit StaBLab, Department of Statistics, Ludwig-Maximilians-University, Munich, Germany.
Horst HelbigDepartment of Ophthalmology, University Hospital Regensburg, Regensburg, Germany.
Bernhard H F WeberInstitute of Human Genetics, University of Regensburg, Regensburg, Germany.
Klaus J StarkDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.ORCID 0000-0002-7832-1942
Iris M HeidDepartment of Genetic Epidemiology, University of Regensburg, Regensburg, Germany. iris.heid@klinik.uni-regensburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While age-related macular degeneration (AMD) poses an important personal and public health burden, comparing epidemiological studies on AMD is hampered by differing approaches to classify AMD. In our AugUR study survey, recruiting residents from in/around Regensburg, Germany, aged 70+, we analyzed the AMD status derived from color fundus images applying two different classification systems. Based on 1,040 participants with gradable fundus images for at least one eye, we show that including individuals with only one gradable eye (n = 155) underestimates AMD prevalence and we provide a correction procedure. Bias-corrected and standardized to the Bavarian population, late AMD prevalence is 7.3% (95% confidence interval = [5.4; 9.4]). We find substantially different prevalence estimates for "early/intermediate AMD" depending on the classification system: 45.3% (95%-CI = [41.8; 48.7]) applying the Clinical Classification (early/intermediate AMD) or 17.1% (95%-CI = [14.6; 19.7]) applying the Three Continent AMD Consortium Severity Scale (mild/moderate/severe early AMD). We thus provide a first effort to grade AMD in a complete study with different classification systems, a first approach for bias-correction from individuals with only one gradable eye, and the first AMD prevalence estimates from a German elderly population. Our results underscore substantial differences for early/intermediate AMD prevalence estimates between classification systems and an urgent need for harmonization.

Indexed as

AgedAged, 80 and overFemaleGermanyHumansMacular DegenerationMalePrevalenceRetinaRisk Factors

Identifiers

PMID29875478
PMCPMC5989235

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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.