Evidence map›Paper›PMID 27807535›Full record

ReviewFrontiers in cardiovascular medicine2016

Rat Heterotopic Heart Transplantation Model to Investigate Unloading-Induced Myocardial Remodeling.

Xuebin Fu, Adrian Segiser, Thierry P Carrel, Hendrik T Tevaearai Stahel, Henriette Most

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Sarcolemmal Alterations in Unloaded Rat Heart after Heterotopic Transplantation.The International journal of angiology : official publication of the International College of Angiology, Inc · 2018
    Article
  12. 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.

Xuebin FuDepartment of Cardiac and Vascular Surgery, Inselspital University Hospital , Berne , Switzerland.
Adrian SegiserDepartment of Cardiac and Vascular Surgery, Inselspital University Hospital , Berne , Switzerland.
Thierry P CarrelDepartment of Cardiac and Vascular Surgery, Inselspital University Hospital , Berne , Switzerland.
Hendrik T Tevaearai StahelDepartment of Cardiac and Vascular Surgery, Inselspital University Hospital , Berne , Switzerland.
Henriette MostDepartment of Cardiac and Vascular Surgery, Inselspital University Hospital , Berne , Switzerland.
University Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unloading of the failing left ventricle in order to achieve myocardial reverse remodeling and improvement of contractile function has been developed as a strategy with the increasing frequency of implantation of left ventricular assist devices in clinical practice. But, reverse remodeling remains an elusive target, with high variability and exact mechanisms still largely unclear. The small animal model of heterotopic heart transplantation (hHTX) in rodents has been widely implemented to study the effects of complete and partial unloading on cardiac failing and non-failing tissue to better understand the structural and molecular changes that underlie myocardial recovery. We herein review the current knowledge on the effects of volume unloading the left ventricle

Indexed as

heart failure animal modelheterotopic heart transplantationmyocardial recoverymyocardial unloadingreverse remodeling

Identifiers

PMID27807535
PMCPMC5069686
OpenAlexW2539224641

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.