Evidence map›Paper›PMID 30558517›Full record

ArticleActa orthopaedica2018

Knee joint sagittal plane movement in cerebral palsy: a comparative study of 2-dimensional markerless video and 3-dimensional gait analysis.

Evelina Pantzar-Castilla, Andrea Cereatti, Giulio Figari, Nicolò Valeri, Gabriele Paolini, Ugo Della Croce, Anders Magnuson, Jacques Riad

Open access · goldAbstract readComparative StudyValidation StudyVideo-Audio Media
In one paragraph

Article in Acta orthopaedica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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 at 5 institutions in 2 countries.

Evelina Pantzar-Castillaa Department of Orthopedics , Örebro University Hospital , Örebro, Sweden.
Andrea Cereattib Department of Biomedical Sciences , University of Sassari , Sassari , Italy.
Giulio Figarib Department of Biomedical Sciences , University of Sassari , Sassari , Italy.
Nicolò Valeric Department of Electronics and Telecommunications , Politecnico di Torino , Torino , Italy.
Gabriele Paolinid GPEM srl , Alghero , Italy.
Ugo Della Croceb Department of Biomedical Sciences , University of Sassari , Sassari , Italy.
Anders Magnusone Clinical Epidemiology and Biostatistics , School of Medical Sciences, Örebro University , Örebro , Sweden.
Jacques Riadf Department of Orthopedics , Skaraborg Hospital Skövde and Mölndal Hospital Sahlgrenska , Gothenburg , Sweden.
University of Sassari · ITÖrebro University · SEÖrebro University Hospital · SEPolytechnic University of Turin · ITSkaraborg Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose - Gait analysis is indicated in children with cerebral palsy (CP) to identify and quantify gait deviations. One particularly difficult-to-treat deviation, crouch gait, can progress in adolescence and ultimately limit the ability to ambulate. An objective quantitative assessment is essential to early identify progressive gait impairments in children with CP. 3-dimensional gait analysis (3D GA) is considered the gold standard, although it is expensive, seldom available, and unnecessarily detailed for screening and follow-up. Simple video assessments are time-consuming when processed manually, but more convenient if used in conjunction with video processing algorithms; this has yet been validated in CP. We validate a 2-dimensional markerless (2D ML) assessment of knee joint flexion/extension angles of the gait cycle in children and young adults with CP. Patients and methods - 18 individuals, mean age 15 years (6.5-28), participated. 11 had bilateral, 3 unilateral, 3 dyskinetic, and 1 ataxic CP. In the Gross Motor Function Classification System, 6 were at level I, 11 at level II, and 1 at level III. We compared 2D ML, using a single video camera with computer processing, and 3D GA. Results - The 2D ML method overestimated the knee flexion/extension angle values by 3.3 to 7.0 degrees compared with 3D GA. The reliability within 2D ML and 3D GA was mostly good to excellent. Interpretation - Despite overestimating, 2D ML is a reliable and convenient tool to assess knee angles and, more importantly, to detect changes over time within a follow-up program in ambulatory children with CP.

Indexed as

AdolescentAdultBiomechanical PhenomenaCerebral PalsyChildFemaleFiducial MarkersGait AnalysisGait Disorders, NeurologicHumansKnee JointMaleMotor Skills DisordersRange of Motion, ArticularYoung Adult

Identifiers

PMID30558517
PMCPMC6300740
OpenAlexW2904427830

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.