Evidence map›Paper›PMID 29256169›Full record

ArticleInternational ophthalmology2019

Comparison of corneal endothelial cell analysis in patients with uveitis and healthy subjects.

Hande Guclu, Vuslat Gurlu

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in International ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Observational
  6. New insights into cataract surgery in patients with uveitis: A detailed review of the current literature.Saudi journal of ophthalmology : official journal of the Saudi Ophthalmological Society
    Article
  7. Article
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

2 authors at 1 institution in 1 country.

Hande GucluDepartment of Ophthalmology, Faculty of Medicine, Trakya University, Edirne, Turkey. hande83_toprakci@hotmail.com.
Vuslat GurluDepartment of Ophthalmology, Faculty of Medicine, Trakya University, Edirne, Turkey.
Trakya University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study is to investigate the effect of uveitis in corneal endothelial cell number and morphology by non-contact specular microscopy.

methodsOur cross-sectional study was performed on 56 eyes of uveitis patients and 53 eyes of healthy subjects. Non-contact specular microscopy was performed to all subjects. The cell density (CD), coefficient of variation, cell minimum area (Min) and cell maximum area (Max), the average of cell size (AVG), percent of hexagonality (HEX%), central corneal thickness (CCT), intraocular pressure (IOP) during uveitis and during remission were measured and compared between two groups.

resultsThe mean endothelial cell analysis of the patients was 2540 ± 619 cells/mm

conclusionOur results suggested that uveitis affected endothelial cell density, cell size and shape but not the corneal thickness without being influenced by the duration and number of attacks. Increased IOP during uveitis and anterior chamber cell value had an important role on CD in patients with uveitis.

Indexed as

Cell CountCell SizeCross-Sectional StudiesEndothelium, CornealFemaleHealthy VolunteersHumansIntraocular PressureMaleMiddle AgedUveitis, AnteriorCoefficient of variationEndothelial cell densityPercent of hexagonalitySpecular microscopyThe average of cell size

Identifiers

PMID29256169
OpenAlexW2779941782

What OpenQuestion holds

Textmetadata
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.