Evidence map›Paper›PMID 21909828›Full record

ReviewHeart failure reviews2012

Animal models of cardiorenal syndrome: a review.

Mariusz K Szymanski, Rudolf A de Boer, Gerjan J Navis, Wiek H van Gilst, Hans L Hillege

Open access · hybridAbstract readReview
In one paragraph

Review in Heart failure reviews, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

24 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. A novel mouse model of adenine-supplemented high-fat diet induced cardiovascular-kidney-metabolic syndrome.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
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  12. Observational
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  14. Review
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  19. Review
  20. Imaging of cardiac and renal perfusion in a rat model with 13N-NH 3 micro-PET.The international journal of cardiovascular imaging · 2015
    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

5 authors at 1 institution in 1 country.

Mariusz K SzymanskiDepartment of Cardiology, University Medical Center Groningen, Groningen, The Netherlands.
Rudolf A de Boer
Gerjan J Navis
Wiek H van Gilst
Hans L Hillege
University Medical Center Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of heart failure and renal failure is increasing and is associated with poor prognosis. Moreover, these conditions do often coexist and this coexistence results in worsened outcome. Various mechanisms have been proposed as an explanation of this interrelation, including changes in hemodynamics, endothelial dysfunction, inflammation, activation of renin-angiotensin-aldosterone system, and/or sympathetic nervous system. However, the exact mechanisms initializing and maintaining this interaction are still unknown. In many experimental studies on cardiac or renal dysfunction, the function of the other organ was either not addressed or the authors failed to show any decline in its function despite histological changes. There are few studies in which the dysfunction of both heart and kidney function has been described. In this review, we discuss animal models of combined cardiorenal dysfunction. We show that translation of the results from animal studies is limited, and there is a need for new and better models of the cardiorenal interaction to improve our understanding of this syndrome. Finally, we propose several requirements that a new animal model should meet to serve as a tool for studies on the cardiorenal syndrome.

Indexed as

Models, AnimalAnimalsCardio-Renal SyndromeHeartHemodynamicsKidney

Identifiers

PMID21909828
PMCPMC3324695
OpenAlexW2096151879

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.