Evidence map›Paper›PMID 25893596›Full record

ArticleThe Journal of clinical investigation2015

Idiopathic pediatric chronic kidney disease: can genomic technology crack the case?

Martin R Pollak

Open access · bronzeAbstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Martin R Pollak
Beth Israel Deaconess Medical Center · US

Funding

The Genetic Basis of FSGSR01DK054931 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI POLLAK, MARTIN R. · 1999 to 2017
$6.2M
NIDDK NIH HHS R01 DK054931
6 · The paper itself

Abstract

In children, chronic kidney disease (CKD) that results from structural abnormalities and glomerular injury is readily diagnosed; however, most cases of pediatric CKD are of unknown etiology. In this issue of the JCI, Verbitsky and colleagues used chromosomal microarrays to evaluate genomic variation in children with CKD. Compared with control individuals, a substantial proportion of children with idiopathic CKD had clearly identifiable genomic imbalances. Moreover, in some cases, detailed analysis of these imbalances identified pathogenic alterations that were unsuspected based on clinical presentation. The results of this study support genome-wide evaluation for pediatric cases of CKD; however, more work will need to be done before such an approach is widely available in the clinic.

Indexed as

Gene DosageChromosome DisordersChromosomes, HumanFemaleHumansMaleRenal Insufficiency, Chronic

Identifiers

PMID25893596
PMCPMC4463218
OpenAlexW2001676768

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.