Evidence map›Paper›PMID 32638178›Full record

ArticleEJNMMI research2020

Mechanisms underlying the predictive power of high skeletal muscle uptake of FDG in amyotrophic lateral sclerosis.

Cecilia Marini, Vanessa Cossu, Tiziana Bonifacino, Matteo Bauckneht, Carola Torazza, Silvia Bruno, Patrizia Castellani, Silvia Ravera, Marco Milanese, Consuelo Venturi and 15 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.3field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

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  14. European journal of nuclear medicine and molecular imaging · 2021
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  15. Peripheral Glycolysis in Neurodegenerative Diseases.International journal of molecular sciences · 2020
    Review
  16. 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

25 authors at 3 institutions in 1 country.

Cecilia MariniCNR Institute of Molecular Bioimaging and Physiology (IBFM), Milano, Italy. cecilia.marini@unige.it.ORCID http://orcid.org/0000-0003-1682-578X
Vanessa CossuNuclear Medicine, IRCCS Ospedale Policlinico San Martino, Largo Benzi 10, 16132, Genova, Italy.
Tiziana BonifacinoDepartment of Pharmacy, Section of Pharmacology and Toxicology and Center of Excellence for Biomedical Research, University of Genoa, Genova, Italy.
Matteo BaucknehtNuclear Medicine, IRCCS Ospedale Policlinico San Martino, Largo Benzi 10, 16132, Genova, Italy.
Carola TorazzaDepartment of Pharmacy, Section of Pharmacology and Toxicology and Center of Excellence for Biomedical Research, University of Genoa, Genova, Italy.
Silvia BrunoDepartment of Experimental Medicine, Human Anatomy, University of Genoa, Genova, Italy.
Patrizia CastellaniCell Biology, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Silvia RaveraDepartment of Experimental Medicine, Human Anatomy, University of Genoa, Genova, Italy.
Marco MilaneseDepartment of Pharmacy, Section of Pharmacology and Toxicology and Center of Excellence for Biomedical Research, University of Genoa, Genova, Italy.
Consuelo VenturiDepartment of Experimental Medicine, Human Anatomy, University of Genoa, Genova, Italy.
Sebastiano CarloneCell Biology, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Patrizia PiccioliCell Biology, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Laura EmioniteAnimal Facility, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Silvia MorbelliNuclear Medicine, IRCCS Ospedale Policlinico San Martino, Largo Benzi 10, 16132, Genova, Italy.
Anna Maria OrengoNuclear Medicine, IRCCS Ospedale Policlinico San Martino, Largo Benzi 10, 16132, Genova, Italy.
Maria Isabella DoneganiDepartment of Health Sciences, University of Genoa, Genova, Italy.
Alberto MiceliDepartment of Health Sciences, University of Genoa, Genova, Italy.
Stefano RaffaDepartment of Health Sciences, University of Genoa, Genova, Italy.
Stefano MarraDepartment of Health Sciences, University of Genoa, Genova, Italy.
Alessio SignoriDepartment of Health Sciences, University of Genoa, Genova, Italy.
Katia CorteseDepartment of Experimental Medicine, Human Anatomy, University of Genoa, Genova, Italy.
Federica GrilloDepartment of Surgical Sciences and Integrated Diagnostics, Pathology Unit, University of Genoa, Genova, Italy.
Roberto FioccaDepartment of Surgical Sciences and Integrated Diagnostics, Pathology Unit, University of Genoa, Genova, Italy.
Giambattista BonannoDepartment of Pharmacy, Section of Pharmacology and Toxicology and Center of Excellence for Biomedical Research, University of Genoa, Genova, Italy.
Gianmario SambucetiNuclear Medicine, IRCCS Ospedale Policlinico San Martino, Largo Benzi 10, 16132, Genova, Italy.
University of Genoa · ITOspedale Policlinico San Martino · ITInstitute of Molecular Bioimaging and Physiology · IT

Funding

Associazione Italiana per la Ricerca sul Cancro IG23201
6 · The paper itself

Abstract

backgroundWe recently reported that enhanced [18F]-fluorodeoxyglucose (FDG) uptake in skeletal muscles predicts disease aggressiveness in patients with amyotrophic lateral sclerosis (ALS). The present experimental study aimed to assess whether this predictive potential reflects the link between FDG uptake and redox stress that has been previously reported in different tissues and disease models.

methodsThe study included 15 SOD1

resultsFDG retention was significantly higher in hindlimb skeletal muscles of symptomatic SOD1

conclusionSkeletal muscle of SOD1

Indexed as

[18F]-FluorodeoxyglucoseAmyotrophic lateral sclerosisEndoplasmic reticulumOxidative stressSkeletal muscleSOD1G93A mouse model

Identifiers

PMID32638178
PMCPMC7340686
OpenAlexW3042205076

What Socratic 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 Socratic graph.