SynthesisNeurodegenerative disease management2026
Geographic distribution of amyotrophic lateral sclerosis-related genes: a systematic review.
Synthesis in Neurodegenerative disease management, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAmyotrophic lateral sclerosis (ALS) is a rare motor neuron disease. There is no effective treatment, but disease-modifying therapies do exist. Objective. To identify the geographical distribution of ALS-related genes.
methodsA systematic review was conducted according to the PRISMA 2020 guidelines in PubMed and Web of Science. Inclusion criteria: patients with ALS, no age or gender restriction, English and Spanish languages, studies published until 31 July 2025.
resultsThirty-eight results were obtained, 32 were selected, 19 articles were assessed for eligibility, and 8 articles were included from databases. Three articles recommended by clinical experts were added, so 11 results were reviewed. This research showed that published articles on the geographic distribution of ALS-related genes are limited, particularly for underrepresented regions such as Africa.
conclusionThe findings demonstrate the need for intensified international research to improve knowledge of the genetic epidemiology of ALS.
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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 Socratic graph.