ArticleInternational ophthalmology2025
Systemic inflammatory response index as a predictive biomarker for Irvine-Gass syndrome.
Article in International ophthalmology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo evaluate systemic inflammatory marker levels in Irvine-Gass Syndrome (IGS) cases and to compare with uncomplicated cataract (control) cases.
methodsMedical records of 25 IGS cases and 30 control cases were retrospectively analyzed. 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. In case of significant difference presence, the receiver operating characteristic curve (ROC) analysis was performed to determine the best cutoff value of systemic inflammatory markers in IGS.
resultsThe medians (min-max) of NLR, PLR, SII, and SIRI were 2.59 (0.13-16.50), 118.42 (5.49-297.69), 525.18 (22.5-3217.5), and 1.44 (0.06-10.11) in IGS group; 1.62 (0.93-8.50), 98.69 (70.0-400.0), 380.60 (161.0-2040.0), and 0.79 (0.37-5.10) in control group, respectively. SIRI was significantly higher in the IGS group (p = 0.036) in comparison to the control group. NLR, PLR, and SII were also found higher in the IGS group, but this difference couldn't reach statistical significance level (p = 0.101, p = 0.600, and p = 0.176, respectively). The ROC analysis revealed that the area under the curve for SIRI to distinguish IGS found to be 0.665. The best cutoff value of SIRI was 0.95, with a sensitivity of 64% and specificity 73%.
conclusionHigher levels of SIRI in IGS cases may indicate the potential association between subclinical systemic inflammation and pseudophakic cystoid edema formation. The current results highlight the potential utility of SIRI as a predictive factor for IGS following cataract surgery.
Indexed as
Identifiers
40705180What OpenQuestion holds
Registered trials
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.