Evidence map›Paper›PMID 33264730›Full record

ArticleGait & posture2021

Combining advanced computational and imaging techniques as a quantitative tool to estimate patellofemoral joint stress during downhill gait: A feasibility study.

Jonathan A Gustafson, John J Elias, G Kelley Fitzgerald, Scott Tashman, Richard E Debski, Shawn Farrokhi

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

Article in Gait & posture, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 44% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Future Directions in Patellofemoral Imaging and 3D Modeling.Current reviews in musculoskeletal medicine · 2022
    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

6 authors at 4 institutions in 1 country.

Jonathan A GustafsonDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, IL, USA. Electronic address: jonathan_a_gustafson@rush.edu.
John J EliasDepartment of Research, Cleveland Clinic Akron General, Akron, OH, USA.
G Kelley FitzgeraldPhysical Therapy Clinical and Translational Research Center, Department of Physical Therapy, University of Pittsburgh, Pittsburgh, PA, USA.
Scott TashmanBiodynamics Laboratory, Department of Orthopedic Surgery, University of Texas Health Center, Houston, TX, USA.
Richard E DebskiDepartment of Bioengineering, University of Pittsburgh, Pittsburgh, PA, USA.
Shawn FarrokhiDOD-VA Extremity Trauma and Amputation Center of Excellence, Naval Medical Center San Diego, CA, USA.
University of Pittsburgh · USCleveland Clinic · USNaval Medical Center San Diego · USRush University Medical Center · US

Funding

VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Caterina Rosano · 2004 to 2026
$28.6M
MULTICENTER CAREER DEVELOPMENT PROGRAM FOR PHYSICAL AND OCCUPATIONAL THERAPYK12HD055931 · NICHD · WASHINGTON UNIVERSITY · PI HAYES, MARCIE HARRIS · 2007 to 2021
$12.7M
NIA NIH HHS P30 AG024827NICHD NIH HHS K12 HD055931
6 · The paper itself

Abstract

backgroundThe onset and progression of patellofemoral osteoarthritis (OA) has been linked to alterations in cartilage stress-a potential precursor to pain and subsequent cartilage degradation. A lack in quantitative tools for objectively evaluating patellofemoral joint contact stress limits our understanding of pathomechanics associated with OA. RESEARCH QUESTION: Could computational modeling and biplane fluoroscopy techniques be used to discriminate in-vivo, subject-specific patellofemoral stress profiles in individuals with and without patellofemoral OA?

methodsThe current study employed a discrete element modeling framework driven by in-vivo, subject-specific kinematics during downhill gait to discriminate unique patellofemoral stress profiles in individuals with patellofemoral OA (n = 5) as compared to older individuals without OA (n = 6). All participants underwent biplane fluoroscopy kinematic tracking while walking on a declined instrumented treadmill. Subject-specific kinematics were combined with high resolution geometrical models to estimate patellofemoral joint contact stress during 0%, 25 %, 50 %, 75 % and 100 % of the loading response phase of downhill gait.

resultsIndividuals with patellofemoral OA demonstrated earlier increases in patellofemoral stress in the lateral patellofemoral compartment during loading response as compared to OA-free controls (P = 0.021). Overall, both groups exhibited increased patellofemoral contact stress early in the loading response phase of gait as compared to the end of loading response. Results from this study show increased stress profiles in individuals with patellofemoral OA, indicating increasing joint loading in early phases of gait. SIGNIFICANCE: This modeling framework-combining arthrokinematics with discrete element models-can objectively estimate changes in patellofemoral joint stress, with potential applications to evaluate outcomes from various treatment programs, including surgical and non-surgical rehabilitation treatments.

Indexed as

Biomechanical PhenomenaEvaluation Studies as TopicFeasibility StudiesFemaleGaitHumansMalePatellofemoral JointWalkingDiscrete elementJoint contactModelingPatellofemoral

Identifiers

PMID33264730
PMCPMC7902369
OpenAlexW3104541399

What OpenQuestion holds

Textmetadata
LicenceTDM
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.