Evidence map›Paper›PMID 37077495›Full record

ArticleInternational journal of ophthalmology2023

Detection of macular ganglion cell complex loss and correlation with choroidal thickness in chronic and recurrent central serous chorioretinopathy.

Yang-Chen Liu, Bin Wu, Yan Wang, Song Chen

Open access · goldAbstract read
In one paragraph

Article in International journal of ophthalmology, 2023. 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 30% 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, 3 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

4 authors at 2 institutions in 1 country.

Yang-Chen LiuClinical College of Ophthalmology, Tianjin Medical University, Tianjin 300070, China.
Bin WuClinical College of Ophthalmology, Tianjin Medical University, Tianjin 300070, China.
Yan WangClinical College of Ophthalmology, Tianjin Medical University, Tianjin 300070, China.
Song ChenClinical College of Ophthalmology, Tianjin Medical University, Tianjin 300070, China.
Nankai University · CNTianjin Medical University Eye Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate the association of ganglion cell complex thickness (GCCt), global loss volume percentage (GLV%), and focal loss volume percentage (FLV%) with structural and functional findings among patients with chronic central serous chorioretinopathy (CCSC) and recurrent central serous chorioretinopathy (RCSC) by optical coherence tomography (OCT).

methodsAmong 29 patients with monocular affected central serous chorioretinopathy (CSC), 15 had CCSC, and 14 had RCSC. The GCCt, FLV%, GLV%, and subfoveal choroidal thickness (SFCT) and sublesional choroidal thickness (SLCT) values were determined using OCT, and the association of these characteristics with neural structure parameters, choroidal morphology, features and functional alterations were estimated for the CCSC and RCSC patients.

resultsIn CCSC, the affected eyes had significantly lower GCCt values than the fellow eyes in the macular regions (all

conclusionThe distribution and GCCt are associated with the duration and visual outcomes of CCSC, whereas there is no correlation among RCSC patients. FLV% may be instrumental in differentiating the various outer choroidal vessels (pachyvessels) in long-term CSC. These results suggest that neural structure parameters may aid in estimating and predicting the recovery of altered morphology and function in CCSC and RCSC patients.

Indexed as

central serous chorioretinopathychoroidal thicknessganglion cell complex parametersoptical coherence tomography

Identifiers

PMID37077495
PMCPMC10089900
OpenAlexW4362577731

What Socratic 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 Socratic graph.