Evidence map›Paper›PMID 33543125›Full record

ArticleBrain communications2020

Cerebral atrophy in amyotrophic lateral sclerosis parallels the pathological distribution of TDP43.

Mahsa Dadar, Ana Laura Manera, Lorne Zinman, Lawrence Korngut, Angela Genge, Simon J Graham, Richard Frayne, D Louis Collins, Sanjay Kalra

Open access · goldAbstract read
In one paragraph

Article in Brain communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.1field-weighted citation impact, top 10% 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

30 citing papers in PubMed, 48 citations in OpenAlex.

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  4. Ten years of using the APACS test: a multistudy cross-diagnostic analysis of pragmatic profiles and their relationship with Theory of Mind.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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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

9 authors at 4 institutions in 1 country.

Mahsa DadarDepartment of Biomedical Engineering, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada.ORCID 0000-0003-4008-2672
Ana Laura ManeraDepartment of Biomedical Engineering, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada.ORCID 0000-0003-1639-6858
Lorne ZinmanSunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario M4N 3M5, Canada.
Lawrence KorngutDepartment of Radiology, Hotchkiss Brain Institute, University of Calgary, Alberta T2N 4N1, Canada.
Angela GengeMontreal Neurological Institute and Hospital, McGill University, Montreal, Quebec H3A 2B4, Canada.
Simon J GrahamSunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario M4N 3M5, Canada.
Richard FrayneDepartment of Radiology, Hotchkiss Brain Institute, University of Calgary, Alberta T2N 4N1, Canada.
D Louis CollinsDepartment of Biomedical Engineering, McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada.
Sanjay KalraNeuroscience and Mental Health Institute, University of Alberta, Edmonton, Alberta T6G 2E1, Canada.
Montreal Neurological Institute and Hospital · CASunnybrook Health Science Centre · CAUniversity of Calgary · CAUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyotrophic lateral sclerosis is a neurodegenerative disease characterized by a preferential involvement of both upper and lower motor neurons. Evidence from neuroimaging and post-mortem studies confirms additional involvement of brain regions extending beyond the motor cortex. The aim of this study was to assess the extent of cerebral disease in amyotrophic lateral sclerosis cross-sectionally and longitudinally and to compare the findings with a recently proposed disease-staging model of amyotrophic lateral sclerosis pathology. Deformation-based morphometry was used to identify the patterns of brain atrophy associated with amyotrophic lateral sclerosis and to assess their relationship with clinical symptoms. Longitudinal T

Indexed as

amyotrophic lateral sclerosisdeformation-based morphometrymixed-effects modellingMRI

Identifiers

PMID33543125
PMCPMC7846188
OpenAlexW3033147965

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.