Evidence map›Paper›PMID 36418540›Full record

ReviewActa neurologica Belgica2023

X-linked dystonia parkinsonism: epidemiology, genetics, clinical features, diagnosis, and treatment.

Hok Leong Chin, Chia-Yi Lin, Oscar Hou-In Chou

Abstract readReview
PubMed Publisher
In one paragraph

Review in Acta neurologica Belgica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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 2 institutions in 2 countries.

Hok Leong ChinDepartment of Clinical Medical Science, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Chia-Yi LinDepartment of Clinical Medical Science, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Oscar Hou-In ChouDepartment of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China. oscarjx1@hku.hk.ORCID http://orcid.org/0000-0001-7058-4708
Shanghai Jiao Tong University · CNChinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

X-linked dystonia parkinsonism (XDP) is a rare X-linked recessive degenerative movement disorder that only affects Filipino descent, predominantly males. Its underlying cause is associated with the genetic alterations in the TAF1/DYT3 multiple transcription system. SINE-VNTR-Alu (SVA) retrotransposon insertion was suggested to be the responsible genetic mutation. Clinically, it initially presents as focal dystonia and generalizes within years. Parkinsonism arises years later and coexists with dystonia. Nonmotor symptoms like cognitive impairment and mood disorders are also common among XDP patients. XDP diagnosis relies on clinical history and physical examination. On imaging, abnormalities of the striatum, such as atrophy, are widely seen and can explain the clinical presentations with a three-model pathway of the striatum. Treatments aim for symptomatic relief of dystonia and parkinsonism and to prevent complications. Oral medications, chemo-denervation, and surgery are used in XDP patients. This review summarizes the currently important information regarding XDP, providing a synoptic overview and understanding of XDP for future studies.

Indexed as

DystoniaDystonic DisordersGenetic Diseases, X-LinkedParkinsonian DisordersFemaleHumansMaleDystoniaDYT3LubagParkinsonismTAF1XDPX-linked dystonia parkinsonism

Identifiers

PMID36418540
OpenAlexW4309915215

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.