Evidence map›Paper›PMID 32462346›Full record

ReviewJournal of neurology2020

Key gait findings for diagnosing three syndromic categories of dynamic instability in patients with balance disorders.

Roman Schniepp, Ken Möhwald, Max Wuehr

Abstract readReview
In one paragraph

Review in Journal of neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Pooled it
  2. Walking as a Window to the Brain: Redefining Gait in Neurology.Medical sciences (Basel, Switzerland) · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

3 authors.

Roman SchnieppDepartment of Neurology, Ludwig-Maximilian University of Munich, Munich, Bavaria, Germany. roman.schniepp@med.uni-muenchen.de.
Ken MöhwaldDepartment of Neurology, Ludwig-Maximilian University of Munich, Munich, Bavaria, Germany.
Max WuehrGerman Center for Vertigo and Balance Disorders (DSGZ), Ludwig-Maximilian University of Munich, Munich, Bavaria, Germany.

Funding

Else Kröner-Fresenius-Stiftung 2018EKES09 80766157
6 · The paper itself

Abstract

With the emergence of affordable, clinical-orientated gait analysis techniques, clinicians may benefit from a general understanding of quantitative gait analysis procedures and their clinical applications. This article provides an overview of the potential of a quantitative gait analysis for decision support in three clinically relevant scenarios of early stage gait disorders: scenario I: gait ataxia and unsteadiness; scenario II: hypokinesia and slow gait; scenario III: apparently normal gait with a specific fall tendency in complex mobility situations. In a first part, we justify the advantages of standardized data collection and analysis procedures including data normalization and dimensionality reduction techniques that facilitate clinical interpretability of instrument-based gait profiles. We then outline typical patterns of pathological gait and their modulation during different walking conditions (variation of speed, sensory perturbation, and dual tasking) and highlight key aspects that are particularly helpful to support and guide clinical decision-making.

Indexed as

Gait Disorders, NeurologicAccidental FallsGaitGait AnalysisHumansWalkingAtaxiaDementiaHypokinesiaInstrumented gait analysisMulti-condition gait examinationPattern recognition

Identifiers

PMID32462346
PMCPMC7718186

What OpenQuestion holds

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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.