ArticlePakistan journal of medical sciences2025
Predictive and diagnostic value of MCP-1, MIF, and ICAM-1 in Type-2 diabetes mellitus patients with diabetic kidney disease.
Article in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Zinc Potentiates the Renoprotective Effects of SGLT2 Inhibitors in Experimental Diabetes Mellitus in Rats.Life (Basel, Switzerland) · 2026Article
- Potential pathways for natural active ingredients to intervene in diabetic kidney disease: targeting macrophage infiltration.Frontiers in physiology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To explore the predictive value of monocyte chemoattractant protein-1 (MCP-1), macrophage migration inhibitory factor (MIF), and intercellular adhesion molecule-1 (ICAM-1) in patients with Type-2 diabetes mellitus (T2DM) complicated by diabetic kidney disease (DKD). Methods: This cross-sectional retrospective study included T2DN patients admitted to the Nephrology Department of Lanzhou University Second Hospital from September, 2022 to March, 2024. DKD was assessed by measuring the ratio of urinary albumin to creatinine. A Receiver Operating Characteristic (ROC) analysis was performed to evaluate the predictive value of MCP-1, MIF, and ICAM-1 for DKD. Results: A total of 241 patients were included, predominantly 158 males (65.6%), with a median age of 60 (53-69) years. Sixty-seven patients had no DKD (normal proteinuria), while 174 patients presented with DKD; of them, 95 cases had microalbuminuria, and 79 cases had high proteinuria. The MCP-1, MIF, and ICAM-1 levels in the high-proteinuria group were significantly higher than in other groups (all P<0.05). The multivariate logistic regression analysis showed that high levels of MCP-1, MIF, and ICAM-1 are risk factors for the development of DKD. ROC analysis demonstrated that the area under the curve (AUC) of MCP-1, MIF, and ICAM-1 for diagnosing DKD were 0.895 (95% CI: 0.857-0.933, P<0.001), 0.719 (95% CI: 0.653-0.785, P<0.001), and 0.827 (95% CI: 0.773-0.880, P<0.001), respectively. The combined prediction of DKD by the three factors was 0.941 (95% CI: 0.914-0.968, P<0.001). Conclusions: MCP-1, MIF, and ICAM-1 are risk factors for developing DKD. A combination of these indexes may have a good predictive value for DKD.
Indexed as
Identifiers
What 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.