Evidence map›Paper›PMID 26961492›Full record

ReviewPediatric nephrology (Berlin, Germany)2017

The nephrologist of tomorrow: towards a kidney-omic future.

Mina H Hanna, Alessandra Dalla Gassa, Gert Mayer, Gianluigi Zaza, Patrick D Brophy, Loreto Gesualdo, Francesco Pesce

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pediatric nephrology (Berlin, Germany), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
8.5field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Editorial: Genetics of Kidney Diseases.Frontiers in genetics · 2020
    Article
  12. Article
  13. How Omics Data Can Be Used in Nephrology.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2018
    Review
  14. Review
  15. Review
  16. 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

7 authors at 6 institutions in 4 countries.

Mina H HannaDepartment of Pediatrics, Kentucky Children's Hospital, University of Kentucky, Lexington, KY, USA.
Alessandra Dalla GassaRenal Unit, Department of Medicine, Verona University Hospital, Verona, Italy.
Gert MayerDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck, Innsbruck, Austria.
Gianluigi ZazaRenal Unit, Department of Medicine, Verona University Hospital, Verona, Italy.
Patrick D BrophyPediatric Nephrology, University of Iowa Children's Hospital, Iowa City, IA, USA.
Loreto GesualdoDipartimento Emergenza e Trapianti di Organi (D.E.T.O), University of Bari, Bari, Italy.
Francesco PesceDipartimento Emergenza e Trapianti di Organi (D.E.T.O), University of Bari, Bari, Italy. f.pesce@imperial.ac.uk.ORCID 0000-0002-2882-4226
University of Verona · ITInnsbruck Medical University · ATRoyal Brompton Hospital · GBUniversity of Bari Aldo Moro · ITUniversity of Iowa Stead Family Children’s Hospital · USUniversity of Kentucky · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Omics refers to the collective technologies used to explore the roles and relationships of the various types of molecules that make up the phenotype of an organism. Systems biology is a scientific discipline that endeavours to quantify all of the molecular elements of a biological system. Therefore, it reflects the knowledge acquired by omics in a meaningful manner by providing insights into functional pathways and regulatory networks underlying different diseases. The recent advances in biotechnological platforms and statistical tools to analyse such complex data have enabled scientists to connect the experimentally observed correlations to the underlying biochemical and pathological processes. We discuss in this review the current knowledge of different omics technologies in kidney diseases, specifically in the field of pediatric nephrology, including biomarker discovery, defining as yet unrecognized biologic therapeutic targets and linking omics to relevant standard indices and clinical outcomes. We also provide here a unique perspective on the field, taking advantage of the experience gained by the large-scale European research initiative called "Systems Biology towards Novel Chronic Kidney Disease Diagnosis and Treatment" (SysKid). Based on the integrative framework of Systems biology, SysKid demonstrated how omics are powerful yet complex tools to unravel the consequences of diabetes and hypertension on kidney function.

Indexed as

NephrologistsChildForecastingHumansKidneyKidney DiseasesMetabolomicsNephrologyProteomicsSystems BiologyBiomarkersOmicsPediatric nephrologySysKidSystems biology

Identifiers

PMID26961492
OpenAlexW2295584173

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.