Evidence map›Paper›PMID 26349053›Full record

SynthesisPloS one2015

Reliability of Intra-Retinal Layer Thickness Estimates.

Timm Oberwahrenbrock, Maria Weinhold, Janine Mikolajczak, Hanna Zimmermann, Friedemann Paul, Ingeborg Beckers, Alexander U Brandt

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Article
  3. Review
  4. Article
  5. The Inner Nuclear Layer in Pediatric Multiple Sclerosis.Neurology(R) neuroimmunology & neuroinflammation · 2025
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Retinal Optical Coherence Tomography in Neuromyelitis Optica.Neurology(R) neuroimmunology & neuroinflammation · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Artificial intelligence extension of the OSCAR-IB criteria.Annals of clinical and translational neurology · 2021
    Review
  20. Observational
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

7 authors.

Timm OberwahrenbrockNeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Maria WeinholdOptics and Laser Technology Laboratory, Beuth University of Applied Sciences, Berlin, Germany.
Janine MikolajczakNeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Hanna ZimmermannNeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Friedemann PaulNeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany; Department of Neurology, Charité-Universitätsmedizin, Berlin, Germany.
Ingeborg BeckersOptics and Laser Technology Laboratory, Beuth University of Applied Sciences, Berlin, Germany.
Alexander U BrandtNeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMeasurement of intra-retinal layer thickness using optical coherence tomography (OCT) has become increasingly prominent in multiple sclerosis (MS) research. Nevertheless, the approaches used for determining the mean layer thicknesses vary greatly. Insufficient data exist on the reliability of different thickness estimates, which is crucial for their application in clinical studies. This study addresses this lack by evaluating the repeatability of different thickness estimates.

methodsStudies that used intra-retinal layer segmentation of macular OCT scans in patients with MS were retrieved from PubMed. To investigate the repeatability of previously applied layer estimation approaches, we generated datasets of repeating measurements of 15 healthy subjects and 13 multiple sclerosis patients using two OCT devices (Cirrus HD-OCT and Spectralis SD-OCT). We calculated each thickness estimate in each repeated session and analyzed repeatability using intra-class correlation coefficients and coefficients of repeatability.

resultsWe identified 27 articles, eleven of them used the Spectralis SD-OCT, nine Cirrus HD-OCT, two studies used both devices and two studies applied RTVue-100. Topcon OCT-1000, Stratus OCT and a research device were used in one study each. In the studies that used the Spectralis, ten different thickness estimates were identified, while thickness estimates of the Cirrus OCT were based on two different scan settings. In the simulation dataset, thickness estimates averaging larger areas showed an excellent repeatability for all retinal layers except the outer plexiform layer (OPL).

conclusionsGiven the good reliability, the thickness estimate of the 6mm-diameter area around the fovea should be favored when OCT is used in clinical research. Assessment of the OPL was weak in general and needs further investigation before OPL thickness can be used as a reliable parameter.

Indexed as

Tomography, Optical CoherenceFovea CentralisHumansMultiple SclerosisNerve FibersRadiographyRetina

Identifiers

PMID26349053
PMCPMC4562656

What OpenQuestion holds

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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.