Evidence map›Paper›PMID 23290732›Full record

ReviewThe Medical clinics of North America2013

The genetic risk of kidney disease in type 2 diabetes.

Marcus G Pezzolesi, Andrzej S Krolewski

Open access · greenAbstract readReview
In one paragraph

Review in The Medical clinics of North America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Apo E gene polymorphism affects development of type 2 diabetic nephropathy in Asian populations, especially in East Asians: an updated meta-analysis.Medical science monitor : international medical journal of experimental and clinical research · 2014
    Pooled it
  2. Trial
  3. Article
  4. Review
  5. [Quercetin ameliorates diabetic kidney injury in rats by inhibiting the HMGB1/RAGE/NF-κB signaling pathway].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Frontiers in genetics · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Serum Uric Acid and Risk of CKD in Type 2 Diabetes.Clinical journal of the American Society of Nephrology : CJASN · 2015
    Observational
  18. Review
  19. 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

2 authors at 2 institutions in 1 country.

Marcus G PezzolesiSection on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA 02215, USA. marcus.pezzolesi@joslin.harvard.edu
Andrzej S Krolewski
Harvard University · USJoslin Diabetes Center · US

Funding

Mapping genes for proteinuria in type II diabetesR01DK058549 · NIDDK · JOSLIN DIABETES CENTER · PI KROLEWSKI, ANDRZEJ S · 2001 to 2010
$4.4M
Mapping Genes for End-Stage Renal Disease in Type 1 DiabetesR01DK077532 · NIDDK · JOSLIN DIABETES CENTER · PI KROLEWSKI, ANDRZEJ S · 2006 to 2008
$1.7M
MAPPING GENES FOR NEPHROPATHY IN IDDMR01DK053534 · NIDDK · JOSLIN DIABETES CENTER · PI KROLEWSKI, ANDRZEJ S · 1998 to 2001
$1.2M
Search of Diabetes Nephropathy Genes in Type 1 DiabetesK01DK090125 · NIDDK · JOSLIN DIABETES CENTER · PI PEZZOLESI, MARCUS GUY · 2011 to 2015
$591k
NIDDK NIH HHS DK090125NIDDK NIH HHS DK53534NIDDK NIH HHS DK58549NIDDK NIH HHS DK77532NIDDK NIH HHS K01 DK090125NIDDK NIH HHS R01 DK058549NIDDK NIH HHS R01 DK077532
6 · The paper itself

Abstract

For more than 20 years, evidence in favor of a genetic basis for the susceptibility of DN in T2D has provided a foundation for studies aimed at identifying the causal genes responsible for its development. During this period, strategies used to map genes for DN have been driven by our understanding of variation across our genome and the technologies available to interrogate it; as both have evolved, so to have our approaches. The advent of next-generation sequencing technology and increased interest in the search for rare variants has begun to swing the pendulum of these efforts away from population-based studies and back to studies of pedigrees. As the field moves forward, family based approaches should greatly facilitate efforts to identify variants in genes that have a major affect on the risk of DN in T2D. To be successful, the ascertainment and comprehensive study of families with multiple affected members is critical.

Indexed as

Genetic Predisposition to DiseaseMultifactorial InheritanceDiabetes Mellitus, Type 2Diabetic NephropathiesFamilyGenetic Association StudiesGenetic HeterogeneityHumansPedigree

Identifiers

PMID23290732
PMCPMC3539136
OpenAlexW2130515244

What OpenQuestion holds

Textmetadata
LicenceTDM
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.