Evidence map›Paper›PMID 23744127›Full record

ReviewThe international journal of cardiovascular imaging2013

Imaging of early modification in cardiomyopathy: the doxorubicin-induced model.

Mohamed Aissiou, Delphine Périé, Farida Cheriet, Nagib S Dahdah, Caroline Laverdière, Daniel Curnier

Abstract readReview
PubMed Publisher
In one paragraph

Review in The international journal of cardiovascular imaging, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

6 authors at 2 institutions in 1 country.

Mohamed AissiouMechanical Engineering Department, École Polytechnique de Montréal, Montreal, Canada.
Delphine Périé
Farida Cheriet
Nagib S Dahdah
Caroline Laverdière
Daniel Curnier
Centre Hospitalier Universitaire Sainte-Justine · CAPolytechnique Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Doxorubicin chemotherapy is effective and widely used to treat acute lymphoblastic leukemia. However, its effectiveness is hampered by a wide spectrum of dose-dependent cardiotoxicity including both morphological and functional changes, affecting primarily the myocardium. Non-invasive imaging techniques are used for the diagnosis and monitoring of these cardiotoxic effects. The purpose of this review is to summarize and compare the most common imaging techniques used in early detection and therapeutic monitoring of doxorubicin-induced cardiotoxicity and the suggested mechanisms of such side effects. Imaging techniques using echocardiography including conventional 2D and 3D echocardiography along with MRI sequences including Tagging, Cine, and quantitative MRI in detecting early myocardial damage are also reviewed. As there is a multitude of reported indices and imaging methods to assess particular functional alterations, we limit this review to the most relevant techniques based on their clinical application and their potential to early detection of doxorubicin-induced cardiotoxic effects.

Indexed as

Diagnostic ImagingAnimalsAntibiotics, AntineoplasticCardiomyopathiesDisease Models, AnimalDisease ProgressionDose-Response Relationship, DrugDoxorubicinDrug MonitoringEarly DiagnosisEchocardiography, Doppler, ColorEchocardiography, Three-DimensionalHumansMagnetic Resonance Imaging, CinePredictive Value of TestsTime FactorsAntibiotics, AntineoplasticDoxorubicin

Identifiers

PMID23744127
OpenAlexW2059468386

What OpenQuestion 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 OpenQuestion graph.