Evaluation of corneal endothelial parameters in patients with methamphetamine use disorder

The results of our study indicate that the corneal endothelium is subjected to stress in patients with a methamphetamine use disorder. The CV value suggests that the usability of methamphetamine as a quantitative indicator in the evaluation of possible corneal endothelial toxicity is an area that needs to be supported by further research.

Authors

Institutions

Publication Details

Journal
BMC Ophthalmology
Published
2025-08-12
DOI
https://doi.org/10.1186/s12886-025-04289-0
Primary Topic
Glaucoma and retinal disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of corneal endothelial parameters in patients with methamphetamine use disorder

Meltem Hazel Şimşek, Mustafa Akkuş, Hakan Koç
BMC Ophthalmology
Glaucoma and retinal disorders
article

Evaluation of corneal endothelial parameters in patients with methamphetamine use disorder

Meltem Hazel Şimşek, Mustafa Akkuş, Hakan Koç
article en

Abstract

The results of our study indicate that the corneal endothelium is subjected to stress in patients with a methamphetamine use disorder. The CV value suggests that the usability of methamphetamine as a quantitative indicator in the evaluation of possible corneal endothelial toxicity is an area that needs to be supported by further research.

BMC OphthalmologyVol. 25(1)
Giresun University (TR), Erzincan Binali Yıldırım University (TR)
Good health and well-being
Openalex Percentile: Top 69%
Glaucoma and retinal disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.