Evidence map›Paper›PMID 37286624›Full record

ReviewOrthopadie (Heidelberg, Germany)2023

[Clinical value of instrumental gait analysis].

Dominik Raab, Andrés Kecskeméthy

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Orthopadie (Heidelberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. 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 at 1 institution in 1 country.

Dominik RaabLehrstuhl für Mechanik und Robotik, Universität Duisburg-Essen, Lotharstr. 1, 47057, Duisburg, Deutschland. dominik.raab@uni-due.de.
Andrés KecskeméthyLehrstuhl für Mechanik und Robotik, Universität Duisburg-Essen, Lotharstr. 1, 47057, Duisburg, Deutschland.
University of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInstrumental gait analysis is becoming an established addition to conventional diagnostic methods for the clinical assessment of complex movement disorders. It can provide objective and high resolution motion data and contains information that is not observable with conventional clinical methods, such as muscle activation during gait. UTILISATION: Instrumental gait analysis can add observer independent parameters to the treatment planning of individuals as well as provide insights into pathomechanisms with clinical research studies. Limiting factors for the use of gait analysis technology are currently the time and personnel expenditures for measurements and data processing, as well as the extensive amount of training time required for data interpretation. This article illustrates the clinical value of instrumental gait analysis and specifies its synergies with conventional diagnostic methods.

Indexed as

Gait Disorders, NeurologicMovement DisordersGaitGait AnalysisHumansMuscle, SkeletalDiagnostic equipmentGait disordersMusculoskeletal diseasesOutcome assessmentQuestionnaires

Identifiers

PMID37286624
OpenAlexW4379645418

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.