ArticleTurkish journal of medical sciences2026
Role of novel renal biomarkers in predicting the prognosis of patients with chronic kidney disease: a prospective cohort study.
Article in Turkish journal of medical sciences, 2026. 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background/aim: Several biomarkers have been assessed for the diagnosis of chronic kidney disease (CKD). However, limited data are available regarding their ability to predict mortality in CKD. The aim of this study was to assess the ability of lipocalin-2, receptor for advanced glycation end products (RAGE), tissue inhibitor of metalloproteinase 1 (TIMP-1), osteopontin, and trefoil factor 3 (TFF-3) in predicting the prognosis of patients with CKD. Materials and methods: We included patients with CKD as defined by an estimated glomerular filtration rate of <60 mL/min/1.73 m Results: The median (with interquartile range) plasma concentrations of lipocalin-2, RAGE, TIMP-1, osteopontin, and TFF-3 were 56.9 (44.72-64.18) ng/mL, 7.1 (4.92-9.56) ng/mL, 46.44 (33.52-47.56) ng/mL, 60.2 (98.9-167.61) ng/mL, and 4.87 (8.03-15.65) ng/mL, respectively. A combined receiver operating characteristic curve was plotted to determine the ability of the novel renal biomarkers to predict mortality in patients with CKD. The cutoff values for lipocalin-2 and RAGE for predicting mortality were 62.48 ng/mL with sensitivity and specificity of 86% and 78% (area under the curve: 0.814; p = 0.007) and 8.5 ng/mL with sensitivity and specificity of 71% and 72% (area under the curve: 0.738; p = 0.04), respectively. Conclusion: Biomarkers including lipocalin-2 and RAGE were assessed in this study and were found to have good predictive value for mortality outcomes in CKD. Future studies should establish the relationship between these novel renal biomarkers and the progression of CKD.
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.