Evidence map›Paper›PMID 32630622›Full record

ArticleBiomedicines2020

Thickness of Intraretinal Layers in Patients with Type 2 Diabetes Mellitus Depending on a Concomitant Diabetic Neuropathy: Results of a Cross-Sectional Study Using Deviation Maps for OCT Data Analysis.

Ruby Kala Prakasam, Aleksandra Matuszewska-Iwanicka, Dagmar-Christiane Fischer, Heidrun Schumann, Diethelm Tschöpe, Bernd Stratmann, Hans-Joachim Hettlich, Rudolf F Guthoff, Oliver Stachs, Martin Röhlig

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Ruby Kala PrakasamDepartment of Ophthalmology, University Medical Center Rostock, Doberaner Str. 140, 18057 Rostock, Germany.
Aleksandra Matuszewska-IwanickaRuhr University Bochum, Johannes Wesling Hospital Minden, Hans-Nolte-Straße 1, 32429 Minden, Germany.
Dagmar-Christiane FischerDepartment of Pediatrics, University Medical Center Rostock, Ernst-Heydemann-Str. 8, 18057 Rostock, Germany.
Heidrun SchumannInstitute of Visual and Analytic Computing, University of Rostock, Albert-Einstein-Straße 22, 18059 Rostock, Germany.
Diethelm TschöpeHeart and Diabetes Center NRW, Ruhr University Bochum, Georgstraße 11, 32545 Bad Oeynhausen, Germany.
Bernd StratmannHeart and Diabetes Center NRW, Ruhr University Bochum, Georgstraße 11, 32545 Bad Oeynhausen, Germany.
Hans-Joachim HettlichRuhr University Bochum, Johannes Wesling Hospital Minden, Hans-Nolte-Straße 1, 32429 Minden, Germany.
Rudolf F GuthoffDepartment of Ophthalmology, University Medical Center Rostock, Doberaner Str. 140, 18057 Rostock, Germany.
Oliver StachsDepartment of Ophthalmology, University Medical Center Rostock, Doberaner Str. 140, 18057 Rostock, Germany.
Martin RöhligInstitute of Visual and Analytic Computing, University of Rostock, Albert-Einstein-Straße 22, 18059 Rostock, Germany.ORCID 0000-0002-3831-8482
University of Rostock · DEHeart and Diabetes Center North Rhine-Westphalia · DEJohannes Wesling Klinikum Minden · DEL V Prasad Eye Institute · IN

Funding

Deutsche Forschungsgemeinschaft SCHU 714 887/19-1 and STA 543/7-1
6 · The paper itself

Abstract

Optical coherence tomography (OCT) supports the detection of thickness changes in intraretinal layers at an early stage of diabetes mellitus. However, the analysis of OCT data in cross-sectional studies is complex and time-consuming. We introduce an enhanced deviation map-based analysis (MA) and demonstrate its effectiveness in detecting early changes in intraretinal layer thickness in adults with type 2 diabetes mellitus (T2DM) compared to common early treatment diabetic retinopathy study (ETDRS) grid-based analysis (GA). To this end, we obtained OCT scans of unilateral eyes from 33 T2DM patients without diabetic retinopathy and 40 healthy controls. The patients were categorized according to concomitant diabetic peripheral neuropathy (DN). The results of MA and GA demonstrated statistically significant differences in retinal thickness between patients and controls. Thinning was most pronounced in total retinal thickness and the thickness of the inner retinal layers in areas of the inner macular ring, selectively extending into areas of the outer macular ring and foveal center. Patients with clinically proven DN showed the strongest thinning of the inner retinal layers. MA showed additional areas of thinning whereas GA tended to underestimate thickness changes, especially in areas with localized thinning. We conclude that MA enables a precise analysis of retinal thickness data and contributes to the understanding of localized changes in intraretinal layers in adults with T2DM.

Indexed as

deviation mapsintraretinal layersoptical coherence tomographytype 2 diabetes mellitusvisual analytics

Identifiers

PMID32630622
PMCPMC7399905
OpenAlexW3040042877

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.