Evidence map›Paper›PMID 30837662›Full record

ArticleScientific reports2019

A novel echocardiographic method closely agrees with cardiac magnetic resonance in the assessment of left ventricular function in infarcted mice.

Ilaria Russo, Edoardo Micotti, Francesca Fumagalli, Michela Magnoli, Giuseppe Ristagno, Roberto Latini, Lidia Staszewsky

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

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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

13 citing papers in PubMed.

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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

7 authors.

Ilaria RussoDepartment of Cardiovascular Research, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy. russilar9@gmail.com.ORCID 0000-0001-6432-3798
Edoardo MicottiDepartment of Neuroscience, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy.
Francesca FumagalliDepartment of Cardiovascular Research, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy.
Michela MagnoliDepartment of Cardiovascular Research, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy.
Giuseppe RistagnoDepartment of Cardiovascular Research, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy.
Roberto LatiniDepartment of Cardiovascular Research, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy.
Lidia StaszewskyDepartment of Cardiovascular Research, Mario Negri Institute for Pharmacological Research IRCCS, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac Magnetic Resonance (CMR) is the gold standard for left ventricular (LV) function assessment in small rodents and, though echocardiography (ECHO) has been proposed as an alternative method, LV volumes may be underestimated when marked eccentric remodeling is present. In the present study we described a novel echocardiographic method and we tested the agreement with CMR for LV volumes and ejection fraction calculation in mice with experimental myocardial infarction. Sham-operated and infarcted mice, subjected to Coronary Artery Ligation, underwent ECHO and CMR. Volumes and ejection fraction were calculated by ECHO using a standard Simpson's modified method (ECHO pLAX) or a method from sequential parasternal short axis (ECHO pSAX) acquired mechanically by translating the probe every 1 mm along the left ventricle. The mean differences ±1.96 standard deviation near to zero suggested close agreement between ECHO pSAX and CMR; contrarily ECHO pLAX agreement with CMR was lower. In addition, ECHO was three times shorter and cheaper (Relative cost difference: pLAX: -66% and pSAX -57%) than CMR. In conclusion, ECHO pSAX is a new, fast, cheap and accurate method for LV function assessment in mice.

Indexed as

EchocardiographyMagnetic Resonance ImagingVentricular Function, LeftAnimalsHeartMiceMyocardial Infarction

Identifiers

PMID30837662
PMCPMC6400943

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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.