Evidence map›Paper›PMID 30892087›Full record

ReviewAmyotrophic lateral sclerosis & frontotemporal degeneration2019

Defining pre-symptomatic amyotrophic lateral sclerosis.

Michael Benatar, Martin R Turner, Joanne Wuu

Open access · greenAbstract readReview
In one paragraph

Review in Amyotrophic lateral sclerosis & frontotemporal degeneration, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 3 pooled it
6.1field-weighted citation impact, top 3% 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

54 citing papers in PubMed, 3 syntheses or guidelines pooled it, 74 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Michael Benatara Department of Neurology , University of Miami , Miami , FL , USA and.
Martin R Turnerb Nuffield Department of Clinical Neurosciences , University of Oxford , Oxford , UK.ORCID 0000-0003-0267-3180
Joanne Wuua Department of Neurology , University of Miami , Miami , FL , USA and.
University of Miami · USUniversity of Oxford · GB

Funding

Pre-Symptomatic Familial ALS (Pre-fALS) Study - Prelude to a Treatment Trial; Administrative SupplementR01NS105479 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BENATAR, MICHAEL, WUU, JOANNE · 2018 to 2022
$3.0M
Motor Neurone Disease Association TURNER/OCT18/989-797NINDS NIH HHS R01 NS105479
6 · The paper itself

Abstract

Successful treatment of neurodegenerative disease may hinge on early therapeutic intervention. This requires an understanding of early/pre-symptomatic disease, a need that is underscored by advances in antisense oligonucleotide, and viral-vector-based gene therapies. In amyotrophic lateral sclerosis (ALS), the study of pre-symptomatic disease requires a cohesive conceptual framework for describing this phase of disease. Informed by the literature in other neurodegenerative diseases and extensive personal experience, a model is proposed that distinguishes ALS as a clinical syndrome from ALS as a disease, and characterizes pre-symptomatic ALS as having two identifiable stages: pre-manifest and prodromal. The unique and critical importance of biomarker development is articulated and an operational definition of phenoconversion is provided. It is hoped that this framework will accelerate collective efforts to study pre-symptomatic ALS, and aid in the design and implementation of an early intervention- or disease-prevention trial.

Indexed as

Asymptomatic DiseasesAmyotrophic Lateral SclerosisAnimalsBiomarkersHumansBiomarkers

Identifiers

PMID30892087
PMCPMC6613999
OpenAlexW2923401400

What OpenQuestion holds

Textmetadata
LicenceTDM
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.