Evidence map›Paper›PMID 28400970›Full record

ReviewBJPsych bulletin2017

Niemann-Pick type C disease - the tip of the iceberg? A review of neuropsychiatric presentation, diagnosis and treatment.

William R H Evans, Chris J Hendriksz

Abstract readReview
In one paragraph

Review in BJPsych bulletin, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Neuropsychological assessment in Niemann-Pick disease type C: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Conformational changes in the Niemann-Pick type C1 protein NCR1 drive sterol translocation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Endo-lysosomal dysfunction and neuronal-glial crosstalk in Niemann-Pick type C disease.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  11. Review
  12. Purification and structure of luminal domain C of human Niemann-Pick C1 protein.Acta crystallographica. Section F, Structural biology communications · 2023
    Article
  13. Article
  14. Article
  15. Movement Disorders and Liver Disease.Movement disorders clinical practice · 2021
    Review
  16. Review
  17. Article
  18. Article
  19. Frontiers in cellular neuroscience · 2021
    Article
  20. 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

2 authors.

William R H EvansNiemann-Pick UK, Washington, UK.
Chris J HendrikszThe Mark Holland Metabolic Unit, Salford Royal Foundation NHS Trust, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Niemann-Pick type C (NP-C) disease is a rare neurodegenerative lysosomal storage disorder. It is highly heterogeneous, and there is limited awareness of a substantial subgroup that has an attenuated adolescent/adult-onset disease. In these patients psychiatric features, often a psychosis, may dominate the initial impression, although often there is an associated ataxia and cognitive impairment. Typically, patients experience a substantial diagnostic delay. In this review we highlight the importance of early recognition and discuss the pathophysiology, neuropsychiatric presentation and recent changes in the investigation and work-up of these patients, and treatment options.

Identifiers

PMID28400970
PMCPMC5376728

What OpenQuestion holds

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Registered trials

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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.