Evidence mapPaperPMID 29062142Full record

ReviewNature reviews. Nephrology2018

Modelling diabetic nephropathy in mice.

Kengo Azushima, Susan B Gurley, Thomas M Coffman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 3 pooled it
11.4field-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

110 citing papers in PubMed, 3 syntheses or guidelines pooled it, 210 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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50 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

3 authors at 2 institutions in 3 countries.

Kengo AzushimaCardiovascular and Metabolic Disorders Signature Research Program, Duke-NUS Medical School, 8 College Road, 169857 Singapore.
Susan B GurleyDivision of Nephrology, Department of Medicine, Duke University, and Durham VA Health Care System, 2 Genome Court, Durham, North Carolina 27710, USA.
Thomas M CoffmanCardiovascular and Metabolic Disorders Signature Research Program, Duke-NUS Medical School, 8 College Road, 169857 Singapore.
Duke-NUS Medical School · SGDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is a leading cause of end-stage renal disease in the developed world. Accordingly, an urgent need exists for new, curative treatments as well as for biomarkers to stratify risk of DN among individuals with diabetes mellitus. A barrier to progress in these areas has been a lack of animal models that faithfully replicate the main features of human DN. Such models could be used to define the pathogenesis, identify drug targets and test new therapies. Owing to their tractability for genetic manipulation, mice are widely used to model human diseases, including DN. Questions have been raised, however, about the general utility of mouse models in human drug discovery. Standard mouse models of diabetes typically manifest only modest kidney abnormalities, whereas accelerated models, induced by superimposing genetic stressors, recapitulate key features of human DN. Incorporation of systems biology approaches and emerging data from genomics and metabolomics studies should enable further model refinement. Here, we discuss the current status of mouse models for DN, their limitations and opportunities for improvement. We emphasize that future efforts should focus on generating robust models that reproduce the major clinical and molecular phenotypes of human DN.

Indexed as

Diabetes Mellitus, ExperimentalDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diabetic NephropathiesDisease Models, AnimalKidney Failure, ChronicMiceAnimalsSystems AnalysisSystems Biology

Identifiers

PMID29062142
OpenAlexW2766536598

What Socratic 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 Socratic graph.