Evidence map›Paper›PMID 34499204›Full record

ArticleJournal of neurology2022

Autosomal recessive adult onset ataxia.

Nataša Dragašević-Mišković, Iva Stanković, Andona Milovanović, Vladimir S Kostić

Abstract read
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In one paragraph

Article in Journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

4 authors at 1 institution in 1 country.

Nataša Dragašević-MiškovićNeurology Clinic, Clinical Center of Serbia, School of Medicine, University of Belgrade, Dr Subotića 6, 11000, Belgrade, Serbia. ntdragasevic@gmail.com.
Iva StankovićNeurology Clinic, Clinical Center of Serbia, School of Medicine, University of Belgrade, Dr Subotića 6, 11000, Belgrade, Serbia.
Andona MilovanovićNeurology Clinic, Clinical Center of Serbia, School of Medicine, University of Belgrade, Dr Subotića 6, 11000, Belgrade, Serbia.
Vladimir S KostićNeurology Clinic, Clinical Center of Serbia, School of Medicine, University of Belgrade, Dr Subotića 6, 11000, Belgrade, Serbia.
University of Belgrade · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autosomal recessive ataxias (ARCA) represent a complex group of diseases ranging from primary ataxias to rare and complex metabolic disorders in which ataxia is a part of the clinical picture. Small number of ARCA manifest exclusively in adulthood, while majority of typical childhood onset ARCA may also start later with atypical clinical presentation. We have systematically searched the literature for ARCA with adult onset, both in the group of primary ataxias including those that are less frequently described in isolated or in a small number of families, and also in the group of complex and metabolic diseases in which ataxia is only part of the clinical picture. We propose an algorithm that could be used when encountering a patient with adult onset sporadic or recessive ataxia in whom the acquired causes are excluded. ARCA are frequently neglected in the differential diagnosis of adult-onset ataxias. Rising awareness of their clinical significance is important, not only because some of these disorders may be potentially treatable, but also for prognostic implications and inclusion of patients to future clinical trials with disease modifying agents.

Indexed as

Cerebellar AtaxiaAdultAtaxiaChildDiagnosis, DifferentialHumansAdult onsetAtaxiaGeneticRecessive

Identifiers

PMID34499204
OpenAlexW3197970738

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.