Evidence map›Paper›PMID 37103756›Full record

ArticleJournal of neurology2023

Comparison of spinal magnetic resonance imaging and classical clinical factors in predicting motor capacity in amyotrophic lateral sclerosis.

M Khamaysa, M Lefort, M Pélégrini-Issac, A Lackmy-Vallée, A Preuilh, D Devos, A-S Rolland, C Desnuelle, M Chupin, V Marchand-Pauvert and 3 more

Registry-linked trialAbstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00002013 (A Safety, Pilot Pharmacokinetics and Neurocognitive Study of AS-101 in Combination With Zidovudine in AIDS/ARC Patients), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% 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.

NCT00002013 nacompletednot on this map

A Safety, Pilot Pharmacokinetics and Neurocognitive Study of AS-101 in Combination With Zidovudine in AIDS/ARC Patients

TypeinterventionalSponsorWyeth is now a wholly owned subsidiary of PfizerConditionsHIV InfectionsArmsZidovudine, AS-101
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

13 authors at 6 institutions in 2 countries.

M KhamaysaSorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
M LefortSorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
M Pélégrini-IssacSorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
A Lackmy-ValléeSorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
A PreuilhSorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
D DevosDépartement de Neurology, Centre Référent SLA, CHU de Lille, Centre LICEND COEN, Lille, France.
A-S RollandDépartment de Pharmacologie Médicale, Université de Lille, INSERM UMRS_1172 LilNCog, CHU de Lille, Centre LICEND COEN, Lille, France.
C DesnuelleFaculté Médecine de Nice, Département de Neurologie, Université Cote d'Azur, Nice, France.
M ChupinCATI Multicenter Neuroimaging Platform, Paris, France.
V Marchand-PauvertSorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France.
G QuerinAPHP, Service de Neuromyologie, Hôpital Pitié-Salpêtrière, Centre Référent Maladies Neuromusculaires Rares, Paris, France.
Pierre-François PradatSorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, Paris, France. pierre-francois.pradat@aphp.fr.
Pulse study group
University of Ulster · GBCentre National de la Recherche Scientifique · FRUniversité Côte d'Azur · FRCognitive Neuroimaging Lab · FRInserm · FRAssistance Publique – Hôpitaux de Paris · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMotor capacity is crucial in amyotrophic lateral sclerosis (ALS) clinical trial design and patient care. However, few studies have explored the potential of multimodal MRI to predict motor capacity in ALS. This study aims to evaluate the predictive value of cervical spinal cord MRI parameters for motor capacity in ALS compared to clinical prognostic factors.

methodsSpinal multimodal MRI was performed shortly after diagnosis in 41 ALS patients and 12 healthy participants as part of a prospective multicenter cohort study, the PULSE study (NCT00002013-A00969-36). Motor capacity was assessed using ALSFRS-R scores. Multiple stepwise linear regression models were constructed to predict motor capacity at 3 and 6 months from diagnosis, based on clinical variables, structural MRI measurements, including spinal cord cross-sectional area (CSA), anterior-posterior, and left-to-right cross-section diameters at vertebral levels from C1 to T4, and diffusion parameters in the lateral corticospinal tracts (LCSTs) and dorsal columns.

resultsStructural MRI measurements were significantly correlated with the ALSFRS-R score and its sub-scores. And as early as 3 months from diagnosis, structural MRI measurements fit the best multiple linear regression model to predict the total ALSFRS-R (R

conclusionsSpinal multimodal MRI could be promising as a tool to enhance prognostic accuracy and serve as a motor function proxy in ALS.

Indexed as

Amyotrophic Lateral SclerosisCohort StudiesHumansMagnetic Resonance ImagingProspective StudiesPyramidal TractsAmyotrophic lateral sclerosisBiomarkersDisease progression rateMotor neuron disorderSpinal cord MRI

Identifiers

PMID37103756
OpenAlexW4367175207

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.