Evidence map›Paper›PMID 32201914›Full record

ArticleEJNMMI research2020

Spinal cord hypermetabolism extends to skeletal muscle in amyotrophic lateral sclerosis: a computational approach to [18F]-fluorodeoxyglucose PET/CT images.

Matteo Bauckneht, Rita Lai, Alberto Miceli, Daniela Schenone, Vanessa Cossu, Maria Isabella Donegani, Stefano Raffa, Anna Borra, Stefano Marra, Cristina Campi and 12 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 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Systemic brain-body metabolic coupling patterns in amyotrophic lateral sclerosis: a whole-body [European journal of nuclear medicine and molecular imaging · 2026
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  16. European journal of nuclear medicine and molecular imaging · 2021
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  18. Peripheral Glycolysis in Neurodegenerative Diseases.International journal of molecular sciences · 2020
    Review
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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

22 authors at 6 institutions in 1 country.

Matteo BaucknehtNuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy. matteo.bauckneht@gmail.com.ORCID http://orcid.org/0000-0002-1937-9116
Rita LaiDepartment of Mathematics (DIMA), University of Genoa, Genoa, Italy.
Alberto MiceliDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Daniela SchenoneDepartment of Mathematics (DIMA), University of Genoa, Genoa, Italy.
Vanessa CossuDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Maria Isabella DoneganiDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Stefano RaffaDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Anna BorraDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Stefano MarraDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Cristina CampiDepartment of Medicine-DIMED, Padova University Hospital, Padua, Italy.
Annamaria OrengoNuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Anna Maria MassoneDepartment of Mathematics (DIMA), University of Genoa, Genoa, Italy.
Alberto TagliaficoDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Claudia CaponnettoNeurology Clinic, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Corrado CabonaDepartment of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy.
Angelina CistaroNuclear Medicine, E.O. Ospedali Galliera, Genoa, Italy.
Adriano ChiòALS Center, Rita Levi Montalcini Department of Neuroscience, University of Turin, Turin, Italy.
Silvia MorbelliNuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Flavio NobiliNeurology Clinic, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Gianmario SambucetiNuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Michele PianaDepartment of Mathematics (DIMA), University of Genoa, Genoa, Italy.
Cecilia MariniNuclear Medicine Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
University of Genoa · ITOspedale Policlinico San Martino · ITAzienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITEnte Ospedaliero Ospedali Galliera · ITInstitute of Molecular Bioimaging and Physiology · ITUniversity of Padua · IT

Funding

Fondazione Italiana di Ricerca per la Sclerosi Laterale Amiotrofica ARISLA Foundation Ice-bucket program 2015 (CM-ALS)
6 · The paper itself

Abstract

purposeAmyotrophic lateral sclerosis (ALS) is a neurodegenerative disease leading to neuromuscular palsy and death. We propose a computational approach to [18F]-fluorodeoxyglucose (FDG) PET/CT images to analyze the structure and metabolic pattern of skeletal muscle in ALS and its relationship with disease aggressiveness. MATERIALS AND

methodsA computational 3D method was used to extract whole psoas muscle's volumes and average attenuation coefficient (AAC) from CT images obtained by FDG PET/CT performed in 62 ALS patients and healthy controls. Psoas average standardized uptake value (normalized on the liver, N-SUV) and its distribution heterogeneity (defined as N-SUV variation coefficient, VC-SUV) were also extracted. Spinal cord and brain motor cortex FDG uptake were also estimated.

resultsAs previously described, FDG uptake was significantly higher in the spinal cord and lower in the brain motor cortex, in ALS compared to controls. While psoas AAC was similar in patients and controls, in ALS a significant reduction in psoas volume (3.6 ± 1.02 vs 4.12 ± 1.33 mL/kg; p < 0.01) and increase in psoas N-SUV (0.45 ± 0.19 vs 0.29 ± 0.09; p < 0.001) were observed. Higher heterogeneity of psoas FDG uptake was also documented in ALS (VC-SUV 8 ± 4%, vs 5 ± 2%, respectively, p < 0.001) and significantly predicted overall survival at Kaplan-Meier analysis. VC-SUV prognostic power was confirmed by univariate analysis, while the multivariate Cox regression model identified the spinal cord metabolic activation as the only independent prognostic biomarker.

conclusionThe present data suggest the existence of a common mechanism contributing to disease progression through the metabolic impairment of both second motor neuron and its effector.

Indexed as

Amyotrophic lateral sclerosisFDGPrognosisSkeletal muscle

Identifiers

PMID32201914
PMCPMC7085992
OpenAlexW3012694048

What Socratic holds

Textmetadata
LicenceCC BY
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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.