Evidence map›Paper›PMID 26239462›Full record

ReviewJournal of clinical medicine2015

Biomarkers of Renal Disease and Progression in Patients with Diabetes.

Radovan Hojs, Robert Ekart, Sebastjan Bevc, Nina Hojs

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Observational
  12. Review
  13. Review
  14. Potential Biomarkers in Diagnosis of Renal Acanthamoebiasis.International journal of molecular sciences · 2021
    Article
  15. The Role of Chemokines and Chemokine Receptors in Diabetic Nephropathy.International journal of molecular sciences · 2020
    Review
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Immune Cells and Inflammation in Diabetic Nephropathy.Journal of diabetes research · 2016
    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

4 authors.

Radovan HojsDepartment of Nephrology, Clinic for Internal Medicine, University Clinical Centre Maribor, Ljubljanska 5, Maribor 2000, Slovenia. radovan.hojs@guest.arnes.si.
Robert EkartDepartment of Dialysis, Clinic for Internal Medicine, University Clinical Centre Maribor, Ljubljanska 5, Maribor 2000, Slovenia. robert.ekart2@guest.arnes.si.
Sebastjan BevcDepartment of Nephrology, Clinic for Internal Medicine, University Clinical Centre Maribor, Ljubljanska 5, Maribor 2000, Slovenia. sebastjanbevc@yahoo.com.
Nina HojsDepartment of Nephrology, Clinic for Internal Medicine, University Clinical Centre Maribor, Ljubljanska 5, Maribor 2000, Slovenia. nina.hojs1@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes prevalence is increasing worldwide, mainly due to the increase in type 2 diabetes. Diabetic nephropathy occurs in up to 40% of people with type 1 or type 2 diabetes. It is important to identify patients at risk of diabetic nephropathy and those who will progress to end stage renal disease. In clinical practice, most commonly used markers of renal disease and progression are serum creatinine, estimated glomerular filtration rate and proteinuria or albuminuria. Unfortunately, they are all insensitive. This review summarizes the evidence regarding the prognostic value and benefits of targeting some novel risk markers for development of diabetic nephropathy and its progression. It is focused mainly on tubular biomarkers (neutrophil-gelatinase associated lipocalin, kidney injury molecule 1, liver-fatty acid-binding protein, N-acetyl-beta-d-glucosaminidase), markers of inflammation (pro-inflammatory cytokines, tumour necrosis factor-α and tumour necrosis factor-α receptors, adhesion molecules, chemokines) and markers of oxidative stress. Despite the promise of some of these new biomarkers, further large, multicenter prospective studies are still needed before they can be used in everyday clinical practice.

Indexed as

biomarkersdiabetesinflammationnephropathyoxidative stresstubular biomarkers

Identifiers

PMID26239462
PMCPMC4470213

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.