Evidence map›Paper›PMID 28364354›Full record

ReviewCurrent diabetes reports2017

Precision Medicine Approaches to Diabetic Kidney Disease: Tissue as an Issue.

Caroline Gluck, Yi-An Ko, Katalin Susztak

Abstract readReview
In one paragraph

Review in Current diabetes reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Article
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  5. Review
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  9. Review
  10. Article
  11. Article
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  16. Article
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  18. The kidney transcriptome, from single cells to whole organs and back.Current opinion in nephrology and hypertension · 2019
    Review
  19. Article
  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

3 authors.

Caroline GluckRenal-Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 415 Curie Blvd, 415 Clinical Research Building, Philadelphia, PA, 19104, USA.
Yi-An KoRenal-Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 415 Curie Blvd, 415 Clinical Research Building, Philadelphia, PA, 19104, USA.
Katalin SusztakRenal-Electrolyte and Hypertension Division, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, 415 Curie Blvd, 415 Clinical Research Building, Philadelphia, PA, 19104, USA. ksusztak@mail.med.upenn.edu.

Funding

Role of the Notch Pathway in Kidney InjuryR01DK076077 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2007 to 2026
$8.0M
Epigenetics of Chronic Kidney DiseaseR01DK087635 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI KATALIN SUSZTAK · 2009 to 2026
$7.0M
Epigenetic drivers and biomarkers of diabetic kidney diseaseDP3DK108220 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SUSZTAK, KATALIN · 2015 to 2015
$2.4M
Characterizing the Epigenome in Chronic Kidney DiseaseF32DK112635 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI GLUCK, CAROLINE ANNE · 2016 to 2016
$62k
NIDDK NIH HHS DP3 DK108220NIDDK NIH HHS F32 DK112635NIDDK NIH HHS R01 DK076077NIDDK NIH HHS R01 DK087635
6 · The paper itself

Abstract

purpose of reviewPrecision medicine approaches, that tailor medications to specific individuals has made paradigm-shifting improvements for patients with certain cancer types. RECENT

findingsSuch approaches, however, have not been implemented for patients with diabetic kidney disease. Precision medicine could offer new avenues for novel diagnostic, prognostic and targeted therapeutics development. Genetic studies associated with multiscalar omics datasets from tissue and cell types of interest of well-characterized cohorts are needed to change the current paradigm. In this review, we will discuss precision medicine approaches that the nephrology community can take to analyze tissue samples to develop new therapeutics for patients with diabetic kidney disease.

Indexed as

Precision MedicineBiomarkersDiabetic NephropathiesHumansPrognosisBiomarkersDiabetic kidney diseaseEpigeneticseQTLGeneticGenomicsGWASKidney biopsyPrecision medicine

Identifiers

PMID28364354
PMCPMC5772762

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.