Evidence map›Paper›PMID 16341685›Full record

ArticleDiabetologia2006

Prediction, progression and prevention of diabetic nephropathy. The Minkowski Lecture 2005.

P Rossing

Abstract readLecture
PubMed Publisher
In one paragraph

Article in Diabetologia, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Diagnosis and Prediction of CKD Progression by Assessment of Urinary Peptides.Journal of the American Society of Nephrology : JASN · 2015
    Trial
  2. Trial
  3. Review
  4. Observational
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Effect of Vitamin D on Cellular Pathways of Diabetic Nephropathy.Reports of biochemistry & molecular biology · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Comprehensive approach to diabetic nephropathy.Kidney research and clinical practice · 2014
    Review
  20. 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

1 author.

P RossingSteno Diabetes Center, Niels Steensens Vej 2, 2820 Gentofte, Denmark. pro@steno.dk

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy is a major problem for patients and health care systems. The costs of treatment remain high. To confront the ongoing challenge, we need to identify individuals at high risk for initiation and progression of this devastating complication. Risk factors include genetic markers; constitutional factors such as low birthweight; haemodynamic factors, including activation of the RAS system and hypertension; metabolic factors such as glycaemia; and additional factors such as urinary AER and smoking. Modifiable risk factors should be treated aggressively. Potential new markers of risk include indices of increased inflammation, changes in coagulation, endothelial dysfunction, growth factors and cytokines. Application of such markers may in time improve risk assessment and allow new treatment targets to be identified. Interventions that aim to achieve strict glycaemic control and blockade of the renin-angiotensin system have been shown to be effective in clinical trials and are feasible in clinical practice. The 'natural history' of diabetic nephropathy can be transformed if these strategies of intensive screening and care are applied, leading both to a lower incidence of diabetic nephropathy and to an improved outcome, with survival exceeding 20 years from onset of overt proteinuria.

Indexed as

BiomarkersDiabetic AngiopathiesDiabetic NephropathiesDisease ProgressionHemodynamicsHumansHypertensionPredictive Value of TestsRisk FactorsBiomarkers

Identifiers

What OpenQuestion holds

Textmetadata
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.