Evidence map›Paper›PMID 28091558›Full record

ArticleScientific reports2017

Soluble urokinase receptor (suPAR) predicts microalbuminuria in patients at risk for type 2 diabetes mellitus.

Martina Guthoff, Robert Wagner, Elko Randrianarisoa, Erifili Hatziagelaki, Andreas Peter, Hans-Ulrich Häring, Andreas Fritsche, Nils Heyne

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

34 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Up-Date on Diabetic Nephropathy.Life (Basel, Switzerland) · 2022
    Review
  11. Article
  12. RAGE and αVβ3-integrin are essential for suPAR signaling in podocytes.Biochimica et biophysica acta. Molecular basis of disease · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Association Between Elevated suPAR, a New Biomarker of Inflammation, and Accelerated Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
  18. Review
  19. Review
  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

8 authors at 5 institutions in 2 countries.

Martina GuthoffDept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany.
Robert WagnerDept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany.
Elko RandrianarisoaDept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany.
Erifili HatziagelakiDept. of Internal Medicine II, Research Institute and Diabetes Center, Athens University, Attikon University General Hospital, Athens, Greece.
Andreas PeterDept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany.
Hans-Ulrich HäringDept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany.
Andreas FritscheDept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany.
Nils HeyneDept. of Endocrinology and Diabetology, Angiology, Nephrology and Clinical Chemistry, University of Tübingen, Otfried-Müller-Str. 10, 72076 Tübingen, Germany.
University of Tübingen · DEGerman Center for Diabetes Research · DEDeutsches Diabetes-Zentrum e.V. · DEHeinrich Heine University Düsseldorf · DEUniversity General Hospital Attikon · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early identification of patients at risk of developing diabetic nephropathy is essential. Elevated serum concentrations of soluble urokinase receptor (suPAR) associate with diabetes mellitus and predict onset and loss of renal function in chronic kidney disease. We hypothesize, that suPAR may be an early risk indicator for diabetic nephropathy, preceding microalbuminuria. The relationship of baseline suPAR and incident microalbuminuria was assessed in a prospective long-term cohort of subjects at increased risk for type 2 diabetes (TULIP, n = 258). Association with albuminuria at later stages of disease was studied in a cross-sectional cohort with manifest type 2 diabetes (ICEPHA, n = 266). A higher baseline suPAR was associated with an increased risk of new-onset microalbuminuria in subjects at risk for type 2 diabetes (hazard ratio 5.3 (95% CI 1.1-25.2, p = 0.03) for the highest vs. lowest suPAR quartile). The proportion of subjects with prediabetes at the end of observation was higher in subjects with new-onset microalbuminuria. suPAR consistently correlated with albuminuria in a separate cohort with manifest type 2 diabetes. Elevated baseline suPAR concentrations independently associate with new-onset microalbuminuria in subjects at increased risk of developing type 2 diabetes. suPAR may hence allow for earlier risk stratification than microalbuminuria.

Indexed as

AdultAgedAlbuminuriaCohort StudiesDiabetes Mellitus, Type 2Endpoint DeterminationFemaleHumansMaleMiddle AgedProportional Hazards ModelsReceptors, Urokinase Plasminogen ActivatorRisk FactorsSolubilityReceptors, Urokinase Plasminogen Activator

Identifiers

PMID28091558
PMCPMC5238426
OpenAlexW2576577563

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.