Evidence map›Paper›PMID 20492585›Full record

ReviewSeminars in dialysis

Potential effects of MYH9-associated nephropathy on dialysis and kidney transplant outcomes.

Barry I Freedman, Mariana Murea

Abstract readReview
In one paragraph

Review in Seminars in dialysis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 1 institution in 1 country.

Barry I FreedmanSection on Nephrology, Department of Internal Medicine, Wake Forest University, School of Medicine, Winston-Salem, North Carolina 27157-1053, USA. bfreedma@wfubmc.edu
Mariana Murea
Wake Forest University · US

Funding

Genetic Analysis of African American Hypertensive End-Stage Renal DiseaseR01DK070941 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FREEDMAN, BARRY IRA · 2006 to 2015
$4.7M
Subclinical CVD in African American Type 2 DiabeticsR01DK071891 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FREEDMAN, BARRY IRA · 2007 to 2016
$4.5M
RENAL FAILURE GENES IN THE SOUTHEASTERN USU01DK057298 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FREEDMAN, BARRY IRA · 1999 to 2006
$3.2M
Natural History of MYH9-Associated NephropathyR01DK084149 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FREEDMAN, BARRY IRA · 2009 to 2012
$2.3M
NIDDK NIH HHS R01 DK 070941NIDDK NIH HHS R01 DK070941NIDDK NIH HHS R01 DK 071891NIDDK NIH HHS R01 DK071891NIDDK NIH HHS R01 DK084149NIDDK NIH HHS U01 DK057298
6 · The paper itself

Abstract

Several related disorders comprise the spectrum of nonmuscle myosin heavy chain 9-associated (MYH9) nephropathy. The contribution of variants in this single MYH9 gene to ethnic differences in the incidence rates of end-stage renal disease is now clearly established. The importance of recognizing the role of MYH9 in these inherited kidney disorders goes beyond simple disease association; there may well be effects on clinical outcomes in patients on dialysis and after kidney transplantation. MYH9 polymorphisms may affect treatment outcomes in severe kidney disease and such gene effects are rarely encountered in practice.

Indexed as

Genetic Predisposition to DiseaseKidney Failure, ChronicKidney TransplantationPolymorphism, GeneticRenal DialysisDNAHumansMolecular Motor ProteinsMyosin Heavy ChainsPrevalencePrognosisUnited StatesDNAMolecular Motor ProteinsMYH9 protein, humanMyosin Heavy Chains

Identifiers

PMID20492585
PMCPMC2906610
OpenAlexW1947008482

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.