Evidence map›Paper›PMID 25998063›Full record

SynthesisAmyotrophic lateral sclerosis & frontotemporal degeneration2015

State of the field: An informatics-based systematic review of the SOD1-G93A amyotrophic lateral sclerosis transgenic mouse model.

Renaid B Kim, Cameron W Irvin, Keval R Tilva, Cassie S Mitchell

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Amyotrophic lateral sclerosis & frontotemporal degeneration, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Blocking glutamate mGluBritish journal of pharmacology · 2021
    Article
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  9. Review
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  15. SemNet: Using Local Features to Navigate the Biomedical Concept Graph.Frontiers in bioengineering and biotechnology · 2019
    Article
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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

4 authors.

Renaid B Kima Department of Biomedical Engineering , Georgia Institute of Technology & Emory University , Atlanta , Georgia , USA.
Cameron W Irvina Department of Biomedical Engineering , Georgia Institute of Technology & Emory University , Atlanta , Georgia , USA.
Keval R Tilvaa Department of Biomedical Engineering , Georgia Institute of Technology & Emory University , Atlanta , Georgia , USA.
Cassie S Mitchella Department of Biomedical Engineering , Georgia Institute of Technology & Emory University , Atlanta , Georgia , USA.

Funding

A New Approach to ALSK01NS069616 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI MITCHELL, CASSIE S · 2011 to 2015
$641k
Identification of Amyotrophic Lateral Sclerosis Clinical PredictorsR21NS081426 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI MITCHELL, CASSIE S · 2013 to 2014
$389k
NINDS NIH HHS K01 NS069616NINDS NIH HHS NS069616NINDS NIH HHS NS081426NINDS NIH HHS R21 NS081426
6 · The paper itself

Abstract

Numerous sub-cellular through system-level disturbances have been identified in over 1300 articles examining the superoxide dismutase-1 guanine 93 to alanine (SOD1-G93A) transgenic mouse amyotrophic lateral sclerosis (ALS) pathophysiology. Manual assessment of such a broad literature base is daunting. We performed a comprehensive informatics-based systematic review or 'field analysis' to agnostically compute and map the current state of the field. Text mining of recaptured articles was used to quantify published data topic breadth and frequency. We constructed a nine-category pathophysiological function-based ontology to systematically organize and quantify the field's primary data. Results demonstrated that the distribution of primary research belonging to each category is: systemic measures an motor function, 59%; inflammation, 46%; cellular energetics, 37%; proteomics, 31%; neural excitability, 22%; apoptosis, 20%; oxidative stress, 18%; aberrant cellular chemistry, 14%; axonal transport, 10%. We constructed a SOD1-G93A field map that visually illustrates and categorizes the 85% most frequently assessed sub-topics. Finally, we present the literature-cited significance of frequently published terms and uncover thinly investigated areas. In conclusion, most articles individually examine at least two categories, which is indicative of the numerous underlying pathophysiological interrelationships. An essential future path is examination of cross-category pathophysiological interrelationships and their co-correspondence to homeostatic regulation and disease progression.

Indexed as

Disease Models, AnimalAmyotrophic Lateral SclerosisAnimalsAxonal TransportEnergy MetabolismGenetic MarkersGenetic Predisposition to DiseaseInflammationMiceMice, TransgenicMovementNatural Language ProcessingNeuronsOxidative StressPeriodicals as TopicPolymorphism, Single NucleotideGenetic MarkersProteomeSOD1 G93A proteinSuperoxide DismutasecalciumexcitotoxicitygliosisMitochondrianeuropathologyprotein aggregationreactive oxygen speciesrotarod

Identifiers

PMID25998063
PMCPMC4724331

What OpenQuestion 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 OpenQuestion graph.