Evidence map›Paper›PMID 31218128›Full record

ArticlePeerJ2019

The role of serum and urinary biomarkers in the diagnosis of early diabetic nephropathy in patients with type 2 diabetes.

Deyuan Zhang, Shandong Ye, Tianrong Pan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Urinary biomarkers of diabetic kidney disease.World journal of diabetes · 2026
    Review
  5. Review
  6. Article
  7. BOLD MRI to Evaluate the Effects of Sacubitril/Valsartan on Renal Protection in Type 2 Diabetics.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Novel Biomarkers for the diagnosis of diabetic nephropathy.Caspian journal of internal medicine · 2024
    Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

3 authors at 2 institutions in 1 country.

Deyuan ZhangSchool of Medicine, Shandong University, Jinan, Shandong, China.
Shandong YeSchool of Medicine, Shandong University, Jinan, Shandong, China.
Tianrong PanDepartment of Endocrinology, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Shandong University · CNAnhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have shown that a variety of biomarkers are closely related to the occurrence and development of early-stage diabetic nephropathy (DN) in patients. The aim of this study was to evaluate the role of multiple sera and urinary biomarkers in the diagnosis of early-stage DN in patients with type 2 diabetes.

methodsWe enrolled 287 patients with type 2 diabetes, who were classified into normoalbuminuria (

resultsUrinary Tf, IgG, NGAL, and TNF-α were significantly related to the UACR. We calculated the area under the receiver operating characteristic curves (area under the curve) and found that urinary IgG (0.894), NGAL (0.875), Tf (0.861), TNF-α (0.763), and the combination of urinary Tf + IgG + TNF-α + NGAL (0.922) showed good diagnostic value for early-stage DN.

conclusionsUrinary Tf, IgG, NGAL, TNF-α, and the combination of all four biomarkers demonstrated excellent diagnostic value for early-stage DN in patients with type 2 diabetes.

Indexed as

BiomarkersDiabetic nephropathyInflammationOxidative stressProteinuria

Identifiers

PMID31218128
PMCPMC6568248
OpenAlexW2950794614

What OpenQuestion holds

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LicenceCC BY
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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.