Evidence map›Paper›PMID 26146561›Full record

ArticleBiomarker research2015

Urinary biomarkers for early diabetic nephropathy in type 2 diabetic patients.

Temesgen Fiseha

Open access · goldAbstract read
In one paragraph

Article in Biomarker research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
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

52 citing papers in PubMed, 109 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Observational
  4. Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026
    Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Comparison of complete blood count parameters in different severity of proteinuria among patients with type 2 diabetes mellitus.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2024
    Article
  13. Article
  14. Article
  15. Pathomechanisms of Diabetic Kidney Disease.Journal of clinical medicine · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Molecules (Basel, Switzerland) · 2022
    Article
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

1 author at 1 institution in 1 country.

Temesgen FisehaDepartment of Clinical Laboratory Science, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia.
Wollo University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is a serious complication of diabetes associated with increased risk of mortality, and cardiovascular and renal outcomes. Diagnostic markers to detect DN at early stage are important as early intervention can slow loss of kidney function and improve patient outcomes. Urinary biomarkers may be elevated in diabetic patients even before the appearance of microalbuminuria, and can be used as useful marker for detecting nephropathy in patients with normoalbuminuria (early DN). We reviewed some new and important urinary biomarkers, such as: Neutrophil gelatinase associated lipocalin (NGAL), N-acetyl-beta-glucosaminidase (NAG), Cystatin C, alpha 1-microglobulin, immunoglobulin G or M, type IV collagen, nephrin, angiotensinogen and liver-type fatty acid-binding protein (L-FABP) associated with early DN in type 2 diabetic patients. Our search identified a total of 42 studies that have been published to date. Urinary levels of these biomarkers were elevated in type 2 diabetic patients compared with non-diabetic controls, including in patients who had no signs indicating nephropathy (without microalbuminuria), and showed positive correlation with albuminuria. Despite the promise of these new urinary biomarkers, further large, multicenter prospective studies are still needed to confirm their clinical utility as a screening tool for early type 2 DN in every day practice.

Indexed as

Diabetic nephropathyMicroalbuminuriaType 2 diabetesUrinary biomarkers

Identifiers

PMID26146561
PMCPMC4491239
OpenAlexW1949907771

What OpenQuestion holds

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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 OpenQuestion graph.