Evidence map›Paper›PMID 32192024›Full record

ArticleJournal of clinical medicine2020

Special Issue "Diabetic Nephropathy: Diagnosis, Prevention and Treatment".

Marta Ruiz-Ortega, Raul R Rodrigues-Diez, Carolina Lavoz, Sandra Rayego-Mateos

Open access · goldAbstract readEditorial
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 5 pooled it
9.3field-weighted citation impact, top 1% 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

84 citing papers in PubMed, 5 syntheses or guidelines pooled it, 129 citations in OpenAlex.

  1. Pooled it
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  4. Efficacy and safety ofFrontiers in pharmacology · 2022
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24 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 2 countries.

Marta Ruiz-OrtegaMolecular and Cellular Biology in Renal and Vascular Pathology, IIS-Fundación Jiménez Díaz-UniversidadAutónoma Madrid, 28040 Madrid, Spain.ORCID 0000-0002-1495-6535
Raul R Rodrigues-DiezMolecular and Cellular Biology in Renal and Vascular Pathology, IIS-Fundación Jiménez Díaz-UniversidadAutónoma Madrid, 28040 Madrid, Spain.
Carolina LavozDivision of Nephrology, School of Medicine, Universidad Austral de Chile, 5090000 Valdivia, Chile.
Sandra Rayego-MateosVascular and Renal Translational Research Group. Institut de Recerca Biomèdica de Lleida (IRBLleida), 25198 Lleida, Spain.
Instituto de Salud Carlos III · ESAustral University of Chile · CLInstituto de Investigación Biomédica de Lleida · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is the main cause of end-stage renal disease. DN is a complex disease mediated by genetic and environmental factors, and many cellular and molecular mechanisms are involved in renal damage in diabetes. There are no biomarkers that reflect the severity of the underlying renal histopathological changes and can effectively predict the progression of renal damage and stratify the risk of DN among individuals with diabetes mellitus. Current therapeutic strategies are based on the strict control of glucose and blood pressure levels and, although there are new anti-diabetic drugs, these treatments only retard renal damage progression, being necessary novel therapies. In this Special Issue, there are several comprehensive reviews and interesting original papers covering all these topics, which would be of interest to the growing number of readers of the

Indexed as

biomarkerschronic kidney diseasediabetic nephropathytreatment

Identifiers

PMID32192024
PMCPMC7141346
OpenAlexW3011801097

What OpenQuestion holds

Textmetadata
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.