Evidence map›Paper›PMID 29072629›Full record

ArticleDiagnostics (Basel, Switzerland)2017

A Score-Based Approach to

Matteo Bauckneht, Silvia Morbelli, Francesco Fiz, Giulia Ferrarazzo, Roberta Piva, Alberto Nieri, Matteo Sarocchi, Paolo Spallarossa, Maria Elisa Canepari, Eleonora Arboscello and 6 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Increased myocardialJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  7. Looking for trouble: Reduced myocardial flow reserve following anthracyclines.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  8. Cardiovascular imaging in cardio-oncology.Journal of thoracic disease · 2018
    Review
  9. 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

16 authors at 5 institutions in 4 countries.

Matteo BaucknehtNuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. matteo.bauckneht@gmail.com.
Silvia MorbelliNuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. silviadaniela.morbelli@hsanmartino.it.
Francesco FizNuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. francesco.fiz.nm@gmail.com.
Giulia FerrarazzoNuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. giulia.ferrarazzo@gmail.com.
Roberta PivaNuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. pivaroberta@hotmail.it.
Alberto NieriNuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. albertonieri@yahoo.it.
Matteo SarocchiClinic of Cardiovascular Diseases, Policlinico San Martino Hospital, 16132 Genoa, Italy. sarocchi@gmail.it.
Paolo SpallarossaClinic of Cardiovascular Diseases, Policlinico San Martino Hospital, 16132 Genoa, Italy. spallarossa@unige.it.
Maria Elisa CanepariEmatology Unit, ASO Santa Croce e Carle, 12100 Cuneo, Italy. me.canepari@libero.it.
Eleonora ArboscelloClinic of Internal Medicine 3, Department Internal Medicine, Policlinico San Martino Hospital, 16132 Genoa, Italy. eleonora.arboscello@hsanmartino.it.
Andrea BellodiClinic of Internal Medicine 3, Department Internal Medicine, Policlinico San Martino Hospital, 16132 Genoa, Italy. andreabellodi@libero.it.
Massimo MassaiaEmatology Unit, ASO Santa Croce e Carle, 12100 Cuneo, Italy. massimo.massaia@unito.it.
Andrea GallaminiDepartment of Research, Innovation and Statistics, Antoine Lacassagne Cancer Centre, 06189 Nice, France. andreagallamini@gmail.com.
Paolo BruzziEpidemiology Unit, Policlinic San Martino Hospital, 16132 Genoa, Italy. paolo.bruzzi@hsanmartino.it.
Cecilia MariniCNR Institute of Bioimaging and Molecular Physiology, Section of Genoa, 20090 Milan, Italy. cecilia.marini@unige.it.
Gianmario SambucetiNuclear Medicine, Policlinico San Martino Hospital and Department of Health Sciences, University of Genoa, 16132 Genoa, Italy. sambuceti@unige.it.
Martin University · USOspedale Policlinico San Martino · ITAzienda Sanitaria Ospedaliera S.Croce e Carle Cuneo · ITCentre Antoine Lacassagne · FRInstitute of Molecular Bioimaging and Physiology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo verify the capability of

methods36 patients underwent FDG-PET/CT. These patients had shown full remission after DXR-based chemotherapy for Hodgkin's disease (DXR dose: 40-50 mg/m² per cycle), and were retrospectively enrolled. Inclusion criteria implied the presence of both pre- and post-chemotherapy clinical evaluation encompassing electrocardiogram (ECG) and echocardiography. Myocardial metabolism at pre-therapy PET was evaluated according to both standardized uptake value (SUV)- and score-based approaches. The capability of the score-based image assessment to predict the occurrence of cardiac toxicity with respect to SUV measurement was then evaluated.

resultsIn contrast to the SUV-based approach, the five-point scale method does not linearly stratify the risk of the subsequent development of cardiotoxicity. However, converting the five-points scale to a dichotomic evaluation (low vs. high myocardial metabolism), FDG-PET/CT showed high diagnostic accuracy in the prediction of cardiac toxicity (specificity = 100% and sensitivity = 83.3%). In patients showing high myocardial uptake at baseline, in which the score-based method is not able to definitively exclude the occurrence of cardiac toxicity, myocardial SUV mean quantification is able to further stratify the risk between low and intermediate risk classes.

conclusionsthe score-based approach to FDG-PET/CT images is a feasible method for predicting DXR-induced cardiotoxicity. This method might improve the inter-reader and inter-scanner variability, thus allowing the evaluation of FDG-PET/CT images in a multicentral setting.

Indexed as

cardiotoxicitydeauville scoredoxorubicinfluorodeoxy-glucosemyocardial metabolismpositron emission tomography

Identifiers

PMID29072629
PMCPMC5745393
OpenAlexW2766826208

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.