Evidence map›Paper›PMID 39712344›Full record

ArticleJournal of diabetes and metabolic disorders2025

Clinical relevance of midkine as a biomarker predicting atherosclerotic risk factors in individuals with type-2 diabetes mellitus: a cross-sectional study.

Isam Noori Salman, Noor Ulhuda G Mohammed, Alaa Shaban, Baydaa Ahmed Abed, Samara Ali Mutar, Hussein Hatam Omran

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Isam Noori SalmanNational Diabetes Center, Mustansiriyah University, Baghdad, Iraq.
Noor Ulhuda G MohammedDepartment of Chemistry, College of Science for Women, University of Baghdad, Baghdad, Iraq.ORCID 0000-0003-3549-1578
Alaa ShabanDepartment of Chemistry, College of Science, University of Babylon, Hilla, Iraq.
Baydaa Ahmed AbedNational Diabetes Center, Mustansiriyah University, Baghdad, Iraq.
Samara Ali MutarDepartment of Chemistry, College of Science for Women, University of Baghdad, Baghdad, Iraq.
Hussein Hatam OmranIraqi Ministry of Health, Baghdad, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Midkine (MK) is a member of a small protein family that includes pleiotrophin. MK levels are elevated in obese patients and have a pro-arthrogenic effect through various pathophysiological processes including vascular inflammation and atherogenesis. This study aimed to investigate the association between serum MK levels and several atherosclerotic risk factors in patients with type 2 diabetes mellitus (T2DM). Methodology: Ninety subjects were enrolled in this study, comprising 60 T2DM patients and 30 age-matched healthy subjects (HS). The patients were categorized into two groups based on dyslipidemia: group 1 consisted of 30 patients with dyslipidemia, while group 2 included 30 patients without dyslipidemia. Laboratory tests were conducted using routine assays at the National Diabetes Center. MK levels were analyzed using enzyme-linked immunosorbent assay (ELISA). Results: MK levels were significantly higher in patients with dyslipidemia compared to those without dyslipidemia and HS ( Conclusion: These findings suggest that MK could be considered a predictive biomarker for dyslipidemia associated with DM. MK levels correlate significantly with atherogenic risk factors, indicating its potential as a sensitive risk predictor for atherosclerosis in patients with T2DM.

Indexed as

AtherosclerosisDyslipidemiaLipid ratioMidkineT2DM

Identifiers

PMID39712344
PMCPMC11659568

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

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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 Socratic graph.