Evidence map›Paper›PMID 23744589›Full record

ArticleAnnals of neurology2013

Confounding underlies the apparent month of birth effect in multiple sclerosis.

Barnaby Fiddes, James Wason, Anu Kemppinen, Maria Ban, Alastair Compston, Stephen Sawcer

Open access · bronzeAbstract read
In one paragraph

Article in Annals of neurology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
7.0field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. The epidemiology, pathology and pathogenesis of MS: Therapeutic implications.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Environmental and genetic risk factors for MS: an integrated review.Annals of clinical and translational neurology · 2019
    Review
  13. Article
  14. Modeling month-season of birth as a risk factor in mouse models of chronic disease: from multiple sclerosis to autoimmune encephalomyelitis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2017
    Article
  15. Gestational bisphenol-A exposure lowers the threshold for autoimmunity in a model of multiple sclerosis.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  16. Article
  17. Article
  18. Article
  19. Association between seasonal factors and multiple sclerosis.European journal of epidemiology · 2016
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Barnaby FiddesUniversity of Cambridge, Department of Clinical Neurosciences, Addenbrooke's Hospital, Cambridge, United Kingdom.
James Wason
Anu Kemppinen
Maria Ban
Alastair Compston
Stephen Sawcer
University of Cambridge · GBMedical Research Council · GB

Funding

Medical Research Council G0800860Medical Research Council MC_UP_1302/2
6 · The paper itself

Abstract

objectiveSeveral groups have reported apparent association between month of birth and multiple sclerosis. We sought to test the extent to which such studies might be confounded by extraneous variables such as year and place of birth.

methodsUsing national birth statistics from 2 continents, we assessed the evidence for seasonal variations in birth rate and tested the extent to which these are subject to regional and temporal variation. We then established the age and regional origin distribution for a typical multiple sclerosis case collection and determined the false-positive rate expected when comparing such a collection with birth rates estimated by averaging population-specific national statistics.

resultsWe confirm that seasonality in birth rate is ubiquitous and subject to highly significant regional and temporal variations. In the context of this variation we show that birth rates observed in typical case collections are highly likely to deviate significantly from those obtained by the simple unweighted averaging of national statistics. The significant correlations between birth rates and both place (latitude) and time (year of birth) that characterize the general population indicate that the apparent seasonal patterns for month of birth suggested to be specific for multiple sclerosis (increased in the spring and reduced in the winter) are expected by chance alone.

interpretationIn the absence of adequate control for confounding factors, such as year and place of birth, our analyses indicate that the previous claims for association of multiple sclerosis with month of birth are probably false positives.

Indexed as

SeasonsBirth RateCanadaCase-Control StudiesDatabases, FactualEuropeFalse Positive ReactionsFemaleHumansMultiple SclerosisRisk FactorsUnited States

Identifiers

PMID23744589
PMCPMC3748787
OpenAlexW1522424122

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.