Evidence mapPaperPMID 20224802Full record

ArticleExpert review of endocrinology & metabolism2010

Abnormalities in signaling pathways in diabetic nephropathy.

Frank C Brosius, Charbel C Khoury, Carolyn L Buller, Sheldon Chen

Abstract read
In one paragraph

Article in Expert review of endocrinology & metabolism, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
4.2field-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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Molecules (Basel, Switzerland) · 2022
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. The Wnt Signaling Pathway in Diabetic Nephropathy.Frontiers in cell and developmental biology · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
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  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

4 authors at 2 institutions in 1 country.

Frank C BrosiusDepartments of Internal Medicine and Molecular and Integrative Physiology, University of Michigan Medical School, 5520 MSRB1, 1150 W. Medical Center Drive, Ann Arbor, MI 48109-0680, USA, Tel.: +1 734 764 3157, , fbrosius@umich.edu.
Charbel C Khoury
Carolyn L Buller
Sheldon Chen
Northwestern University · USUniversity of Michigan–Ann Arbor · US

Funding

TUBULOINTERSTITIAL KIDNEY CELLS &REPONSE TO GLUCOSER01DK044513 · UNIVERSITY OF PENNSYLVANIA · 1992 to 2005
$635k
NIDDK NIH HHS R01 DK044513NIDDK NIH HHS R24 DK082841NIDDK NIH HHS U01 DK076139
6 · The paper itself

Abstract

Diabetic nephropathy (DN) is characterized by a plethora of signaling abnormalities that together ultimately result in the clinical and pathologic hallmarks of DN, namely progressive albuminuria followed by a gradual decline in glomerular filtration rate leading to kidney failure, and accompanied by podocyte loss, progressive glomerular sclerosis and, ultimately, progressive tubulointerstitial fibrosis. Over the past few years, the general understanding of the abnormalities in signaling pathways that lead to DN has expanded considerably. In this review, some of the important pathways that appear to be involved in driving this process are discussed, with special emphasis on newer findings and insights. Newer concepts regarding signaling changes in bradykinin, mTOR, JAK/STAT, MCP-1, VEGF, endothelial nitric oxide synthase, activated protein C and other pathways are discussed.

Identifiers

PMID20224802
PMCPMC2834210
OpenAlexW2114602864

What Socratic holds

Textmetadata
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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 Socratic graph.