Evidence map›Paper›PMID 36316420›Full record

ArticleScientific reports2022

Quantification of pathological gait parameter thresholds of idiopathic normal pressure hydrocephalus patients in clinical gait analysis.

Ken Möhwald, Max Wuehr, Julian Decker, Eric-Manuel Asch, Fabian Schenkel, Ben Illigens, Roman Schniepp

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
1.0field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Observational
  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

7 authors at 4 institutions in 2 countries.

Ken MöhwaldDepartment of Neurology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. Ken.Moehwald@med.uni-muenchen.de.
Max WuehrGerman Center for Vertigo and Balance Disorders (DSGZ), University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Julian DeckerSchoen Klinik Bad Aibling, Kolbermoorer Str. 72, 83043, Bad Aibling, Germany.
Eric-Manuel AschGerman Center for Vertigo and Balance Disorders (DSGZ), University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Fabian SchenkelGerman Center for Vertigo and Balance Disorders (DSGZ), University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
Ben IlligensDivision of Health Care Sciences, Center for Clinical Research and Management Education, Dresden International University, Dresden, Germany.
Roman SchnieppDepartment of Neurology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
German Center for Lung Research · DELudwig-Maximilians-Universität München · DEDresden International University · DESchön Klinik Bad Aibling · DE

Funding

Bundesministerium für Bildung und Forschung 01EO1401
6 · The paper itself

Abstract

The aim of the study was to distinguish the hypokinetic gait disorder in idiopathic normal pressure hydrocephalus (NPH) patients from the gait decline in the elderly population by quantifying pathological gait parameter thresholds utilizing a multiple condition gait assessment. 55 NPH patients and 55 age-matched healthy subjects underwent a standardized gait assessment with eight gait conditions. Spatiotemporal gait parameters were assessed through a pressure-sensitive carpet. Statistical analysis consisted of a binary logistic regression (BLR) model, logistic curve-fit evaluated by a Chi-square goodness-of-fit-test, receiver operating characteristic models with area under the curves (AUC), and inverse BLR. Most discriminative gait parameter thresholds were observed in pace, gait cycle, and support gait domains. The most distinct gait conditions were preferred walking speed and semantic dual task. During preferred walking speed, the most significant gait parameter thresholds were stride length ≤ 1.02 m (sensitivity 0.93/specificity 0.91/AUC 0.96), gait velocity ≤ 0.83 m/s (0.80/0.91/0.93), double support phase ≥ 27.0% (0.96/0.76/0.91), and stride length coefficient of variation ≥ 3.4% (0.93/0.72/0.90). In conclusion, the hypokinetic gait disorder in NPH can be quantitatively differentiated from gait patterns of the elderly population. In future studies, this approach may be useful to differentiate clinical entities with similar gait disorders utilizing instrumented gait analysis procedures.

Indexed as

Gait Disorders, NeurologicHydrocephalus, Normal PressureAgedGaitGait AnalysisHumansWalking

Identifiers

PMID36316420
PMCPMC9622747
OpenAlexW4307894737

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.