Evidence map›Paper›PMID 24532200›Full record

ArticleJournal of neurology2014

Epidemiological, clinical, and genetic landscapes of hypomyelinating leukodystrophies.

Yurika Numata, Leo Gotoh, Akiko Iwaki, Kenji Kurosawa, Jun-Ichi Takanashi, Kimiko Deguchi, Toshiyuki Yamamoto, Hitoshi Osaka, Ken Inoue

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Neurology. Genetics · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
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

9 authors.

Yurika NumataNational Institute of Neuroscience, National Center for Neurology and Psychiatry, 4-1-1 Ogawahigashi-cho, Kodaira, Tokyo, 187-8502, Japan.
Leo Gotoh
Akiko Iwaki
Kenji Kurosawa
Jun-Ichi Takanashi
Kimiko Deguchi
Toshiyuki Yamamoto
Hitoshi Osaka
Ken Inoue

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To determine the epidemiological, clinical, and genetic characteristics of congenital hypomyelinating leukodystrophies, including Pelizaeus-Merzbacher disease (PMD), we conducted a nationwide epidemiological survey in Japan. A two-step survey targeting all medical institutions specializing in pediatric neurology and childhood disability (919 institutes) in Japan was performed. Detailed information was collected for 101 patients (86 males and 15 females) with congenital hypomyelinating leukodystrophies. The prevalence of congenital hypomyelinating disorders was 0.78 per 100,000 people (0-19 years old), and the incidence was 1.40 per 100,000 live births. Molecular testing was performed in 75 % of patients, and PLP1 gene abnormalities were observed in 62 %. The incidence of PMD with PLP1 mutations was estimated to be 1.45 per 100,000 male live births and that for congenital hypomyelinating disorders with unknown cause to be 0.41 per 100,000 live births. Patients with PLP1 mutations showed a higher proportion of nystagmus and hypotonia, both of which tend to disappear over time. Our results constitute the first nationwide survey of congenital hypomyelinating disorders, and provide the epidemiological, clinical, and genetic landscapes of these disorders.

Indexed as

AdolescentAdultCarrier StateChildChild, PreschoolFemaleGenetic CounselingHumansIncidenceInfantJapanMagnetic Resonance ImagingMaleMiddle AgedMuscle HypotoniaMutation

Identifiers

What OpenQuestion holds

Textmetadata
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.