Evidence map›Paper›PMID 38483620›Full record

ArticleArchives of orthopaedic and trauma surgery2024

Motion acquisition of gait characteristics one week after total hip arthroplasty: a factor analysis.

Andrea Cattaneo, Anna Ghidotti, Francesco Catellani, Gennaro Fiorentino, Andrea Vitali, Daniele Regazzoni, Caterina Rizzi, Emilio Bombardieri

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In one paragraph

Article in Archives of orthopaedic and trauma surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

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

8 authors.

Andrea CattaneoDepartment of Information Management Engineering and Production Engineering, University of Bergamo, Via Galvani, 2, Dalmine, BG, Italy. andrea.cattaneo@unibg.it.ORCID http://orcid.org/0000-0002-6911-7042
Anna GhidottiDepartment of Information Management Engineering and Production Engineering, University of Bergamo, Via Galvani, 2, Dalmine, BG, Italy.ORCID http://orcid.org/0000-0002-6415-3167
Francesco CatellaniHumanitas Gavazzeni, Bergamo, Italy.
Gennaro FiorentinoHumanitas Gavazzeni, Bergamo, Italy.ORCID http://orcid.org/0000-0002-9528-491X
Andrea VitaliDepartment of Information Management Engineering and Production Engineering, University of Bergamo, Via Galvani, 2, Dalmine, BG, Italy.ORCID http://orcid.org/0000-0001-9261-4357
Daniele RegazzoniDepartment of Information Management Engineering and Production Engineering, University of Bergamo, Via Galvani, 2, Dalmine, BG, Italy.ORCID http://orcid.org/0000-0001-5533-7047
Caterina RizziDepartment of Information Management Engineering and Production Engineering, University of Bergamo, Via Galvani, 2, Dalmine, BG, Italy.ORCID http://orcid.org/0000-0002-1779-5183
Emilio BombardieriHumanitas Gavazzeni, Bergamo, Italy.

Funding

Fondazione Humanitas per la Ricerca 5x1000
6 · The paper itself

Abstract

introductionClinical gait analysis can be used to evaluate the recovery process of patients undergoing total hip arthroplasty (THA). The postoperative walking patterns of these patients can be significantly influenced by the choice of surgical approach, as each procedure alters distinct anatomical structures. The aim of this study is twofold. The first objective is to develop a gait model to describe the change in ambulation one week after THA. The secondary goal is to describe the differences associated with the surgical approach. MATERIALS AND

methodsThirty-six patients undergoing THA with lateral (n = 9), anterior (n = 15), and posterior (n = 12) approaches were included in the study. Walking before and 7 days after surgery was recorded using a markerless motion capture system. Exploratory Factor Analysis (EFA), a data reduction technique, condensed 21 spatiotemporal gait parameters to a smaller set of dominant variables. The EFA-derived gait domains were utilized to study post-surgical gait variations and to compare the post-surgical gait among the three groups.

resultsFour distinct gait domains were identified. The most pronounced variation one week after surgery is in the Rhythm (gait cycle time:

conclusionsThis study identified a four-component gait model specific to THA patients. The results showed that patients after THA have longer stride time but shorter stride length, wider base of support, and longer stance time, although the posterior group had a statistically significant shorter stance time than the others. The findings of this research have the potential to simplify the reporting of gait outcomes, reduce redundancy, and inform targeted interventions in regards to specific gait domains.

Indexed as

Arthroplasty, Replacement, HipGaitGait AnalysisAgedFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedPostoperative PeriodWalkingFactor analysisGait analysisMotion captureRecovery of functionSurgical approachTotal hip replacement

Identifiers

PMID38483620
PMCPMC11093841

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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.