Evidence map›Paper›PMID 37095987›Full record

ReviewHeliyon2023

Role of advanced cardiovascular imaging in chemotherapy-induced cardiotoxicity.

Maria Teresa Cannizzaro, Maria Cristina Inserra, Giulia Passaniti, Antonio Celona, Tommaso D'Angelo, Placido Romeo, Antonio Basile

Abstract readReview
In one paragraph

Review in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Maria Teresa CannizzaroCAST Radiology Department, A.U.O. Policlinico "G.Rodolico-San Marco", Catania, Italy.
Maria Cristina InserraCAST Radiology Department, A.U.O. Policlinico "G.Rodolico-San Marco", Catania, Italy.
Giulia PassanitiUniversity of Catania, CAST Policlinico Hospital, Italy.
Antonio CelonaSan Vincenzo Taormina Hospital, Italy.
Tommaso D'AngeloDiagnostic and Interventional Radiology Unit, BIOMORF Department, University Ospital "Policlinico G. Martino", Messina, Italy.
Placido RomeoRadiology Department of AO "San Marco", A.U.O. Policlinico "G.Rodolico-San Marco", Catania, Italy.
Antonio BasileUniversity of Catania, Department of Surgical and Medical Sciences and Advanced Technologies 'G.F. Ingrassia', Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of cardiotoxicity induced by cancer treatments has emerged as a significant clinical problem, both in the short run, as it may influence drug administration in chemotherapeutic protocols, and in the long run, because it may determine adverse cardiovascular outcomes in survivors of various malignant diseases. Therefore, early detection of anticancer drug-related cardiotoxicity is an important clinical target to improve prevention of adverse effects and patient care. Today, echocardiography is the first-line cardiac imaging techniques used for identifying cardiotoxicity. Cardiac dysfunction, clinical and subclinical, is generally diagnosed by the reduction of left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS). However, myocardial injury detected by echocardiography is preceded by other alterations, such as myocardial perfusion and mitochondrial and metabolic dysfunction, that can only be recognized by second-level imaging techniques, like cardiac magnetic resonance (CMR) and nuclear imaging, which, using targeted radiotracers, may help to provide information on the specific mechanisms of cardiotoxicity. In this review, we focus on the current and emerging role of CMR, as a critical diagnostic tool of cardiotoxicity in the very early phase, due to its availability and because it allows the contemporary detection of functional alterations, tissue alterations (mainly performed using T1, T2 mapping with the evaluation of extracellular volume-ECV) and perfusional alteration (evaluated with rest-stress perfusion) and, in the next future, even metabolic changes. Moreover, in the subsequent future, the use of Artificial Intelligence and big data on imaging parameters (CT, CMR) and oncoming molecular imaging datasets, including differences for gender and countries, may help predict cardiovascular toxicity at its earliest stages, avoiding its progression, with precise tailoring of patients' diagnostic and therapeutic pathways.

Indexed as

Advanced cardiac imagingCardiac magnetic resonanceCardiotoxicity

Identifiers

PMID37095987
PMCPMC10121465

What OpenQuestion holds

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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.