Evidence map›Paper›PMID 40251561›Full record

ArticleBMC ophthalmology2025

Evaluation of blood-count-derived inflammatory markers in patients with idiopathic epiretinal membrane.

Serdar Bilici, Kardelen Ezgi Şahin Elarslan, Numan Küçük, Suat Hayri Uğurbaş

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Article in BMC ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Serdar BiliciSchool of Medicine, Department of Ophthalmology, Zonguldak Bulent Ecevit University, Zonguldak, Turkey. drserdarbilici@gmail.com.
Kardelen Ezgi Şahin ElarslanSchool of Medicine, Department of Ophthalmology, Zonguldak Bulent Ecevit University, Zonguldak, Turkey.
Numan KüçükSchool of Medicine, Department of Ophthalmology, Zonguldak Bulent Ecevit University, Zonguldak, Turkey.
Suat Hayri UğurbaşSchool of Medicine, Department of Ophthalmology, Zonguldak Bulent Ecevit University, Zonguldak, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo assess the role of inflammation in the pathogenesis of idiopathic epiretinal membrane (iERM) by evaluating blood-count-derived inflammatory marker levels.

methodsThe medical records of patients diagnosed with iERM and cataract patients with normal fundus examinations were analyzed retrospectively. Levels of neutrophils, monocytes, lymphocytes, and thrombocytes were obtained from blood samples. Systemic inflammatory markers, including neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and systemic inflammatory response index (SIRI) were calculated and compared between the two groups. The receiver operating characteristic curve (ROC) analysis was performed to determine the best cutoff value of NLR, PLR, SII, and SIRI in iERM.

resultsIn total, 91 iERM cases and 95 controls were included in the study. iERM patients had significantly higher NLR (2.25 vs. 1.91, p = 0.003), PLR (117.22 vs. 113.33, p = 0.042), SII (529.45 vs. 472.57, p = 0.003), and SIRI (1.25 vs. 0.90, p < 0.001). The area under the curve of NLR, PLR, SII, and SIRI in differentiating patients with iERM and controls was 0.637, 0.608, 0.645 and 0.660, respectively, according to ROC analysis. The best cutoff values (with sensitivity and specificity) were 1.95 (60.4% and 52.6%) for NLR, 116.7 (54.9% and 55.7%) for PLR, 498.03 (58.2% and 58.9%) for SII, and 1.07 (62.6% and 64.6%) for SIRI.No significant differences in inflammatory markers were found across iERM stages.

conclusionPatients with iERM exhibit higher levels of blood-count-derived inflammatory markers, suggesting a link between systemic subclinical inflammation and iERM development. However, these markers do not correlate with iERM severity. Further research with larger cohorts and broader inflammatory marker analysis is needed to elucidate the role of systemic inflammation in iERM pathogenesis.

Indexed as

BiomarkersEpiretinal MembraneInflammationAgedBlood Cell CountBlood PlateletsFemaleHumansLymphocytesMaleMiddle AgedNeutrophilsRetrospective StudiesROC CurveBiomarkersIdiopathic epiretinal membraneOptical coherence tomographySystemic inflammation markers

Identifiers

PMID40251561
PMCPMC12007306

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