Evidence map›Paper›PMID 30083135›Full record

ReviewFrontiers in endocrinology2018

Understanding Podocyte Biology to Develop Novel Kidney Therapeutics.

Mark A Lal, Jaakko Patrakka

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05875454 (Assessment of Podocyts Integrity in Glomerular Diseases.), which is not on this map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.2field-weighted citation impact, top 8% 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.

NCT05875454 unknown statusnot on this mapstarted 2023, after this paper: background citation

Assessment of Podocyts Integrity in Glomerular Diseases.

TypeobservationalSponsorAssiut UniversityRan2023 to 2025Enrolled50ConditionsGlomerular DiseaseArmsHistopathological examination of tru-cut needle biopsy
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  3. Review
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  13. Morroniside Inhibits HFrontiers in pharmacology · 2020
    Article
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  15. Review
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  18. GPRC5b Modulates Inflammatory Response in Glomerular DiseasesJournal of the American Society of Nephrology : JASN · 2019
    Article
  19. 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

2 authors at 1 institution in 1 country.

Mark A LalBioscience, Cardiovascular, Renal and Metabolism, Innovative Medicines Biotech Unit, AstraZeneca, Gothenburg, Sweden.
Jaakko PatrakkaKarolinska Institutet/AstraZeneca Integrated Cardio Metabolic Center, Department of Laboratory Medicine, Karolinska Institutet at Karolinska University Hospital Huddinge, Stockholm, Sweden.
AstraZeneca (Sweden) · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past two decades it has become increasing clear that injury and loss of podocytes is an early and common clinical observation presented in many forms of glomerulopathy and chronic kidney disease. Identification of disease-causing monogenic mutations in numerous podocyte-expressed genes as well as studies conducted using preclinical animal models have shown that the podocyte plays a central role in establishing kidney dysfunction. In this review, we summarize current knowledge regarding the potential for podocyte-targeted therapies and give our view on how a deeper understanding of the molecular makeup of the podocyte will enable future therapeutic interventions. Specifically, we recount some of the currently described podocentric strategies for therapy and summarize the status and evolution of various model systems used to facilitate our understanding of the molecular and functional underpinnings of podocyte biology.

Indexed as

chronic kidney diseasediabetic nephropathyglomeruluspodocytetargeted therapy

Identifiers

PMID30083135
PMCPMC6065143
OpenAlexW2825161255

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.