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Record W4225277946 · doi:10.26685/urncst.348

Risk Factors of Amyotrophic Lateral Sclerosis (ALS): An Updated Systematic Review

2022· article· en· W4225277946 on OpenAlexaff
Vidhi Bhatt, Connor Kydd, Mehak Behal

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsWestern UniversityMcMaster University
Fundersnot available
KeywordsAmyotrophic lateral sclerosisDiseaseMechanism (biology)MedicineMEDLINERisk factorMotor neurone diseaseSystematic reviewPathologyBiology

Abstract

fetched live from OpenAlex

Introduction: Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease impacting the voluntary motor nervous system. While the origin of ALS remains unclear, existing literature suggests multifactorial pathogenesis. Most cases appear sporadically, implicating the existence of environmental factors, while others suggest an underlying genetic mechanism. This study aims to summarize risk factors associated with the onset and progression of ALS. Methods: Three reviewers searched Medline database for English-language articles published between January 1, 2017 and November 6, 2021. Keywords included, but were not limited to, ALS, motor neuron disease, biomarkers, expos*, risk factors, and others. Included studies directly examined the effect of risk factors on ALS patients. Results were summarized descriptively following the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. Results: Overall, 310 unique articles were identified, of which 66 articles spanning 18 countries met the inclusion criteria. Thirty-five articles discussed environmental factors and reported 3 personal characteristics, 13 lifestyle factors, and 22 clinical factors being associated with ALS. Nineteen different genes were also discovered to be associated with ALS, while 13 genes were found to have no association. Discussion: Among environmental factors, lower socioeconomic status occupations were found to have a higher occurrence of ALS. Traumatic brain injuries are another clinical risk factor commonly associated with ALS. There are inconsistent associations between alcohol intake and ALS, and the link between ALS and viruses needs to be further explored due to a potential causal relationship. Some of the genes identified in this review are definitive ALS genes, but others are novel or have little supporting evidence, necessitating further research. Conclusion: With over 90% of ALS cases appearing sporadically, a great amount of research has gone into identifying the risk factors of the fatal illness. This study provides an updated systematic review that encompasses findings from 66 of the most current articles surrounding environmental and genetic risk factors of ALS. This paper provides researchers with a comprehensive summary of these risk factors to provide a springboard for future studies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.084
GPT teacher head0.412
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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