Evidence map›Paper›PMID 28752288›Full record

ReviewClinical and experimental nephrology2018

Application of next-generation sequencing technology to diagnosis and treatment of focal segmental glomerulosclerosis.

Yutaka Harita

Abstract readReview
In one paragraph

Review in Clinical and experimental nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Kidney international reports · 2019
    Article
  8. 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

1 author.

Yutaka HaritaDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. haritay-ped@h.u-tokyo.ac.jp.

Funding

Japan Society for the Promotion of Science (C) 16K10060Japan Society for the Promotion of Science (C) 16K15523Japan Society for the Promotion of Science (C) 22790991Japan Society for the Promotion of Science (C) 25461617Japan Society for the Promotion of Science Grant-in-Aid for Scientific Research (B) [24390259]ministry of health, labour and welfare of japan H26-015ministry of health, labour and welfare of japan H27-037
6 · The paper itself

Abstract

A broad range of genetic and non-genetic factors can lead to kidney injury that manifests as focal segmental glomerulosclerosis (FSGS), which can be classified into primary (idiopathic) and secondary forms. Previous genetic approaches to familial or sporadic cases of FSGS or steroid-resistant nephrotic syndrome identified causal mutations in a subset of genes. Recently, next-generation sequencing (NGS) approaches are becoming a part of a standard assessment in medical genetics. Current knowledge of the comprehensive genomic information is changing the way we think about FSGS and draws attention not only to identification of novel causal genes, but also to potential roles for combinations of mutations in multiple genes, mutations with complex inheritance, and susceptibility genes with variable penetrance carrying relatively minor but significant effects. This review provides an update on recent advances in the genetic analysis of FSGS and highlights the potential as well as the new challenges of NGS for diagnosis and mechanism-based treatment of FSGS.

Indexed as

Sequence Analysis, DNAGlomerulosclerosis, Focal SegmentalHumansNephrotic SyndromePenetranceFocal segmental glomerulosclerosisNext-generation sequencingSteroid-resistant nephrotic syndromeWhole-exome analysis

Identifiers

PMID28752288
PMCPMC5956018

What OpenQuestion holds

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LicenceCC BY
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.