Evidence map›Paper›PMID 37346332›Full record

ArticleHeliyon2023

Triggering multiple sclerosis at conception and early gestation: The variation in ultraviolet radiation is as important as its intensity.

George E Davis, Matthew J Davis, Walter E Lowell

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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 1 institution in 1 country.

George E DavisRiverview Psychiatric Center, 250 Arsenal Street, State House Station #11, Augusta, ME, 04333-0011, USA.
Matthew J DavisRiverview Psychiatric Center, 250 Arsenal Street, State House Station #11, Augusta, ME, 04333-0011, USA.
Walter E LowellRiverview Psychiatric Center, 250 Arsenal Street, State House Station #11, Augusta, ME, 04333-0011, USA.
Riverview Psychiatric Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Medical science needs to further elucidate the role of ultraviolet radiation (UVR), geographic latitude, and the role of vitamin D in the autoimmune disease multiple sclerosis (MS). We separated several papers into categories out of the thousands published and used their conclusions to explore the relationship between UVR and MS. Relevance: MS is increasing in incidence, particularly in women where MS is two to three times that in men and particularly severe in African Americans. Methods: We collected UVR data at our observatory in Central Maine and calculated the average coefficient of variation (CV Results: The month of conception (MOC) is more important than the month of birth (MOB) in explaining how UVR triggers the variable genetic predisposition to MS. We hypothesize that the rapidly increasing CV Limitations: One observatory at about 44° latitude. Conclusions: While variation in UVR is important at the MOC if UVR exceeds a threshold (e.g., if the sunspot number equals or is greater than 90, usually at a solar cycle MAX, or at elevations above approximately 3,000 feet above sea level), the MS mitigating vitamin D-VDR mechanism is overwhelmed and the genotoxic effects of higher-intensity UVR promote MS in those with a genetic predisposition. What is new in this research: This paper offers a new concept in MS research.

Indexed as

Coefficient of variationElevationLatitudeMonth-of-birthMonth-of-conceptionMultiple sclerosisSunspot numberUltraviolet radiation

Identifiers

PMID37346332
PMCPMC10279836
OpenAlexW4379193887

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.