ArticleScientific reports2025
The geographic association of multiple sclerosis and amyotrophic lateral sclerosis.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- ALS: a field in motion.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Amyotrophic lateral sclerosis (ALS) and multiple sclerosis (MS) are both devastating, incurable, neurodegenerative diseases that are largely considered to be of unknown etiology. While the diseases have some similarities, they are not typically considered to be closely related. They have different pathological markers and different prognoses. Additionally, MS (but not ALS) is considered an autoimmune disease. Furthermore, MS has long been noted to have a strong north-south gradient in its distribution whereas only recently has awareness grown of such a gradient in ALS. The study here will show, however, that if the distribution of ALS and MS are analyzed using mortality data, they are extremely correlated even after controlling for gender, race and latitude. This relationship was not previously identified in part because of a Simpson's paradox in the data: strong correlations that are obvious in the data when they are separated by gender are obscured when the data are pooled across gender. The presence of a strong association in the distributions of ALS and MS suggests there is a connection between the two diseases that is not yet understood. That connection may prove valuable in helping to illuminate what causes the diseases, and whether and how they can be prevented and treated.
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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 OpenQuestion graph.