Evidence map›Paper›PMID 38784343›Full record

ArticleCureus2024

Optical Coherence Tomography-Based Positive Predictors of Eplerenone Therapy in Chronic Central Serous Chorioretinopathy: A Retrospective Study.

Vijaya Sahu, Swatishree Nayak, Aseem Kumar, Himanshu Kashyap

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Vijaya SahuOphthalmology, All India Institute of Medical Sciences, Raipur, IND.
Swatishree NayakOphthalmology, All India Institute of Medical Sciences, Raipur, IND.
Aseem KumarOphthalmology, All India Institute of Medical Sciences, Raipur, IND.
Himanshu KashyapOphthalmology, Sankara Nethralaya, Chennai, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate optical coherence tomography (OCT) biomarkers as potential predictors of treatment response in chronic central serous chorioretinopathy (CSCR). MATERIALS AND

methodsIt was a retrospective cohort study that included 42 patients with chronic CSCR. After complete ocular and hematological examinations, all patients received 50 mg/day of oral eplerenone for three months and were followed for at least six months. All participants were divided into two groups: Group 1 participants with a positive response to treatment (complete resolution of subretinal fluid (SRF) at six months) and Group 2 poor responders (moderate or less than 50% reduction in SRF from baseline). The primary outcome measure was the resolution of SRF, and various OCT biomarkers like central macular thickness (CMT), pigment epithelial detachments (PED), double-layer sign, elongation of the photoreceptor's outer segment, the integrity of the external limiting membrane, the integrity of the ellipsoid zone, hyperreflective foci in the outer segment, and subretinal deposits in the SRF were assessed.

resultsThe mean age was 41.33 ± 10.75 years, and 34 participants were male. Thirty-seven (88.1%) of the participants had good responses to eplerenone, with the mean height of SRF decreasing significantly from a maximum of 269.74 µm to a minimum of 21.86 µm at six months (p<0.001). The mean CMT decreased from the first visit time point to the third visit time (p<0.001). Logistic regression analysis assessed the absence of PED and double-layer signs associated with a good response.

conclusionThe eplerenone therapy seems to be efficient for chronic CSCR, and OCT can be an invaluable aid to the treating physician.

Indexed as

central macular thicknesschronic central serous chorioretinopathydouble-layer signophthalmologysubretinal fluid

Identifiers

PMID38784343
PMCPMC11112395

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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.