Evidence map›Paper›PMID 36062296›Full record

ArticleJournal of ophthalmology2022

Influence of Preoperative Foveal Layers' Thickness on Visual Function and Macular Morphology by Phacovitrectomy for Epiretinal Membrane.

R Zhmurin, L Grajewski, L Krause

Abstract read
In one paragraph

Article in Journal of ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. 3D volumetric analysis outperforms 2D linear measurements in predicting vision after surgery for epiretinal membranes. An exploratory machine learning study.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Article
  3. Article
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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

3 authors.

R ZhmurinDepartment of Ophthalmology of the Municipal Hospital Dessau, Academic Teaching Hospital with University Departments of the Brandenburg Medical School Theodor Fontane, Brandenburg, Germany.ORCID https://orcid.org/0000-0001-6016-5833
L GrajewskiDepartment of Ophthalmology of the Municipal Hospital Dessau, Academic Teaching Hospital with University Departments of the Brandenburg Medical School Theodor Fontane, Brandenburg, Germany.
L KrauseDepartment of Ophthalmology of the Municipal Hospital Dessau, Academic Teaching Hospital with University Departments of the Brandenburg Medical School Theodor Fontane, Brandenburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this retrospective study with short, differently dispersed follow-up is to record the relationships between the pathologies of the individual foveal layers, measured by spectral domain optical coherence tomography (SD-OCT), and to investigate their influence on pre- and postoperative best-corrected decimal far visual acuity (BCVA) by phacovitrectomy for epiretinal membrane (ERM) in comorbidity with cataract. Results: In all OCT morphological stages of ERM, as well as in their combination with macular lamellar hole (MLH) and vitreomacular traction (VMT), a significant difference in the thickness of the individual fovea layers was found. In addition, the entire fovea thickening led to the proportional thickening of the individual fovea layers ( Conclusions: ONL thickening in ERM without a tractive component serves as a limited prognostic factor of postoperative visual acuity decrease. The preoperative BCVA in the groups of ERM with traction component showed significant correlation with CFT as well as with the thickness of individual foveal layers. VMT in ERM correlates with the disintegration of the ellipsoid zone.

Identifiers

PMID36062296
PMCPMC9436612

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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.