Evidence map›Paper›PMID 25971618›Full record

ReviewCurrent diabetes reports2015

Genetics of diabetic nephropathy: a long road of discovery.

Amy Jayne McKnight, Seamus Duffy, Alexander P Maxwell

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Revisiting Experimental Models of Diabetic Nephropathy.International journal of molecular sciences · 2020
    Review
  12. A Mutation inJournal of the American Society of Nephrology : JASN · 2020
    Article
  13. Interaction betweenDiabetology & metabolic syndrome · 2019
    Article
  14. Article
  15. Review
  16. Urinary TGF-β1 was not independently associated with renal function in diabetes mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2018
    Article
  17. Iranian journal of basic medical sciences · 2017
    Article
  18. Review
  19. Article
  20. Roles of pattern recognition receptors in diabetic nephropathy.Journal of Zhejiang University. Science. B
    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

3 authors at 2 institutions in 1 country.

Amy Jayne McKnightNephrology Research Group, Centre for Public Health, Queen's University Belfast, c/o Regional Genetics Centre, Level A, Tower Block, Belfast City Hospital, Lisburn Road, Belfast, BT9 7AB, UK, a.j.mcknight@qub.ac.uk.
Seamus Duffy
Alexander P Maxwell
Queen's University Belfast · GBUniversity of Ulster · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global prevalence of diabetic nephropathy is rising in parallel with the increasing incidence of diabetes in most countries. Unfortunately, up to 40 % of persons diagnosed with diabetes may develop kidney complications. Diabetic nephropathy is associated with substantially increased risks of cardiovascular disease and premature mortality. An inherited susceptibility to diabetic nephropathy exists, and progress is being made unravelling the genetic basis for nephropathy thanks to international research collaborations, shared biological resources and new analytical approaches. Multiple epidemiological studies have highlighted the clinical heterogeneity of nephropathy and the need for better phenotyping to help define important subgroups for analysis and increase the power of genetic studies. Collaborative genome-wide association studies for nephropathy have reported unique genes, highlighted novel biological pathways and suggested new disease mechanisms, but progress towards clinically relevant risk prediction models for diabetic nephropathy has been slow. This review summarises the current status, recent developments and ongoing challenges elucidating the genetics of diabetic nephropathy.

Indexed as

Genetic Predisposition to DiseaseAnimalsDiabetic NephropathiesGenome-Wide Association StudyHumansMeta-Analysis as Topic

Identifiers

PMID25971618
OpenAlexW311541222

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.