Evidence map›Paper›PMID 38033457›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

Exploring the Correlation Between the Systemic Immune Inflammation Index (SII), Systemic Inflammatory Response Index (SIRI), and Type 2 Diabetic Retinopathy.

Shuqi Wang, Xiaoyu Pan, Boying Jia, Shuchun Chen

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Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 4 of them syntheses that pooled it.

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60citing papers in PubMed, 4 pooled it
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

60 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shuqi WangDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China.
Xiaoyu PanDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China.
Boying JiaDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China.ORCID 0009-0001-2860-7790
Shuchun ChenDepartment of Internal Medicine, Hebei Medical University, Shijiazhuang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Systemic immune inflammation index (SII), systemic inflammatory response index (SIRI) are new inflammation indicators calculated after integrating multiple indicators in blood routine. This study aims to investigate the correlation between the SII, SIRI and type 2 diabetic retinopathy (T2DR) and the diagnostic significance of these indices in T2DR. Patients and Methods: A retrospective analysis involved 500 patients diagnosed with type 2 diabetes (T2DM), categorized into two groups based on fundus examination results: the non-diabetic retinopathy group (NDR, n=256) and the diabetic retinopathy group (DR, n=244). We calculated SII and SIRI, and analyzed their associations with T2DR. Results: The DR group exhibited significantly higher SII and SIRI values compared to the NDR group (P<0.001). Mantel-Haenszel's chi-square trend analysis revealed a notable linear trend (P<0.001) between SII, SIRI, and DR. SII and SIRI exhibited moderate positive correlations with DR, (r=0.354, P<0.001; r=0.469, P<0.001), respectively. Binary logistic regression analysis identified SII and SIRI as independent risk factors for DR. Restrictive cubic spline analysis demonstrated a significant linear relationship between SII and DR (P total trend <0.001, P nonlinear = 0.0657). Stratification by gender indicated that SII is more sensitive to the onset of DR in men. A significant nonlinear relationship was observed between SIRI and DR (P total trend <0.001, P nonlinear = 0.0025), with no gender-related differences in SIRI's association with DR. ROC curve analysis demonstrated that the combined use of SII and SIRI achieved the highest diagnostic accuracy for DR, with an AUC of 0.782, 74.6% sensitivity, and 69.9% specificity. Conclusion: Our findings suggested that SII and SIRI as independent risk factors for DR. The high accuracy of SII combined with SIRI in diagnosing DR underscores their potential as early biological indicators for DR diagnosis.

Indexed as

Inflammationsystemic immune inflammation indexsystem inflammatory response indextype 2 diabetic retinopathy

Identifiers

PMID38033457
PMCPMC10683512

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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.