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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 42 out of 100. Prevention and risk

Topic: Brain proteins, microglia and lab models

Contrast-induced nephropathy (CIN) represents a significant complication associated with the use of iodinated contrast media (ICM), especially in individuals with preexisting renal impairment. The pathophysiology of CIN encompasses oxidative stress, inflammation, endothelial dysfunction, and hemodynamic disturbances, resulting in acute kidney injury (AKI). Early detection is essential for effective management; however, conventional markers like serum creatinine (sCr) and estimated glomerular filtration rate (eGFR) exhibit limitations in sensitivity and timeliness. This review emphasizes the increasing significance of novel biomarkers in enhancing early detection and risk stratification of contrast-induced nephropathy (CIN). Recent advancements in artificial intelligence and computational analytics have improved the predictive capabilities of these biomarkers, enabling personalized risk assessment and precision medicine strategies. Additionally, we discuss mitigation strategies, including hydration protocols, pharmacological interventions, and procedural modifications, aimed at reducing CIN incidence. Incorporating biomarker-driven assessments into clinical decision-making can enhance patient management and outcomes. Future research must prioritize the standardization of biomarker assays, the validation of predictive models across diverse patient populations, and the exploration of novel therapeutic targets. Utilizing advancements in biomarkers and risk mitigation strategies allows clinicians to improve the safety of contrast-enhanced imaging and reduce the likelihood of renal injury.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Lee, P.-H., Huang, S.-M., Tsai, Y.-C., Wang, Y.-T., & Chew, F. Y. (2025). Biomarkers in Contrast-Induced Nephropathy: Advances in Early Detection, Risk Assessment, and Prevention Strategies. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms26072869

Vancouver

Lee P.-H, Huang S.-M, Tsai Y.-C, Wang Y.-T, Chew FY. Biomarkers in Contrast-Induced Nephropathy: Advances in Early Detection, Risk Assessment, and Prevention Strategies. International Journal of Molecular Sciences. 2025. doi:10.3390/ijms26072869. PMID: 40243457.

BibTeX

@article{lee2025-40243457,
  author  = {Lee, Pei-Hua and Huang, Shao-Min and Tsai, Yi-Ching and Wang, Yu-Ting and Chew, Fatt Yang},
  title   = {{Biomarkers in Contrast-Induced Nephropathy: Advances in Early Detection, Risk Assessment, and Prevention Strategies}},
  journal = {International Journal of Molecular Sciences},
  year    = {2025},
  doi     = {10.3390/ijms26072869},
  pmid    = {40243457},
  url     = {https://doi.org/10.3390/ijms26072869}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

Key findings

Why it matters

This review is about kidney injury caused by contrast media used in medical imaging, not about Alzheimer's disease, so it offers no information on Alzheimer's treatment, cure or prevention. It discusses biomarkers for early detection of that kidney condition.

Study details

How this study scored 42/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 3 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomized / blinded 0 of 2; Times cited 3 of 7; Citations per year 2 of 5; Impact for its field and year 4 of 6; Cited by studies here 0 of 6; Still being cited 2 of 4; Senior author's track record 0 of 4; Institution's track record 0 of 3; Multicenter collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 42 of 100.42 of 100 points earned58 not earned

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomized / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (International Journal of Molecular Sciences)
Journal's citation record 3 / 4 International Journal of Molecular Sciences: journal h-index 426 (OpenAlex, 2026-10-29)
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 4 / 5 2025 — within 3 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomized / blinded 0 / 2 No randomization or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 3 / 7 Cited 23 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 7.7 citations a year over 3 year(s) since 2025
Impact for its field and year 4 / 6 Cited 14.3× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 2 / 4 Cited 23 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 0 / 4 Last-listed author Fatt Yang Chew: h-index 4 (OpenAlex, whole career)
Institution's track record 0 / 3 China Medical University: institution h-index 382 (OpenAlex)
Multicenter collaboration 2 / 3 OpenAlex lists 5 institution(s) in 1 country
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 40243457)
Free to read 2 / 2 Free to read
Total 42 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

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