Evidence map›Paper›PMID 36865211›Full record

ArticlebioRxiv : the preprint server for biology2023

Markerless motion capture estimates of lower extremity kinematics and kinetics are comparable to marker-based across 8 movements.

Ke Song, Todd J Hullfish, Rodrigo Scattone Silva, Karin Grävare Silbernagel, Josh R Baxter

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 14 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Ke SongDepartment of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA, USA.
Todd J HullfishDepartment of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA, USA.
Rodrigo Scattone SilvaDepartment of Physical Therapy, University of Delaware, Newark, DE, USA.
Karin Grävare SilbernagelDepartment of Physical Therapy, University of Delaware, Newark, DE, USA.
Josh R BaxterDepartment of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USUniversidade Federal do Rio Grande do Norte · BRUniversity of Delaware · US

Funding

Dynamic Stability in the ACL Injured KneeR37HD037985 · NICHD · UNIVERSITY OF DELAWARE · PI GRAVARE SILBERNAGEL, KARIN M E · 2012 to 2021
$4.2M
Recovery of symptoms, function, tendon structure and mechanical properties in patients with Achilles Tendinopathy: A comparison between men and womenR01AR072034 · NIAMS · UNIVERSITY OF DELAWARE · PI GRAVARE SILBERNAGEL, KARIN M E · 2018 to 2022
$2.5M
Tendon loading profiles that promote healing in Achilles tendinopathyR01AR078898 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Josh Baxter · 2021 to 2026
$2.5M
NIAMS NIH HHS R01 AR072034NIAMS NIH HHS R01 AR078898NICHD NIH HHS R37 HD037985
6 · The paper itself

Abstract

Motion analysis is essential for assessing in-vivo human biomechanics. Marker-based motion capture is the standard to analyze human motion, but the inherent inaccuracy and practical challenges limit its utility in large-scale and real-world applications. Markerless motion capture has shown promise to overcome these practical barriers. However, its fidelity in quantifying joint kinematics and kinetics has not been verified across multiple common human movements. In this study, we concurrently captured marker-based and markerless motion data on 10 healthy subjects performing 8 daily living and exercise movements. We calculated the correlation (R

Identifiers

PMID36865211
PMCPMC9980110
OpenAlexW4321482318

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.