Evidence map›Paper›PMID 22468461›Full record

ReviewProceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine2012

Knee joint forces: prediction, measurement, and significance.

Darryl D D'Lima, Benjamin J Fregly, Shantanu Patil, Nikolai Steklov, Clifford W Colwell

Abstract readReview
In one paragraph

Review in Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Anisotropic wear behavior of meniscus: Influence of cross-shear and loading magnitude.Journal of the mechanical behavior of biomedical materials · 2026
    Article
  5. Article
  6. Elastic Shape Analysis of Movement Data.Journal of the American Statistical Association · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Combined hamstrings lengthening and patellar tendon retensioning for neurogenic knee flexion in spastic diplegia.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Comparative review: clinical and pathological heterogeneity in kneeFrontiers in bioengineering and biotechnology · 2025
    Review
  16. A Data-Driven Approach to Estimate Changes in Peak Knee Contact Force With Exoskeleton Assistance.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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

5 authors.

Darryl D D'LimaShiley Center for Orthopaedic Research and Education at Scripps Clinic, Scripps Health, 11025 North Torrey Pines Road, Suite 200, La Jolla, CA 92037, USA. DLima.Darryl@scrippshealth.org
Benjamin J Fregly
Shantanu Patil
Nikolai Steklov
Clifford W Colwell

Funding

Evaluation of In Vivo Knee Load Predictions using Instrumented ImplantsR01EB009351 · NIBIB · UNIVERSITY OF FLORIDA · PI D'LIMA, DARRYL D., FREGLY, BENJAMIN J · 2010 to 2013
$2.1M
Real-time monitoring of knee forces and kinematics in vivoR21AR057561 · NIAMS · SCRIPPS HEALTH · PI D'LIMA, DARRYL D. · 2009 to 2010
$283k
NIAMS NIH HHS R21 AR057561NIBIB NIH HHS R01 EB009351
6 · The paper itself

Abstract

Knee forces are highly significant in osteoarthritis and in the survival and function of knee arthroplasty. A large number of studies have attempted to estimate forces around the knee during various activities. Several approaches have been used to relate knee kinematics and external forces to internal joint contact forces, the most popular being inverse dynamics, forward dynamics, and static body analyses. Knee forces have also been measured in vivo after knee arthroplasty, which serves as valuable validation of computational predictions. This review summarizes the results of published studies that measured knee forces for various activities. The efficacy of various methods to alter knee force distribution, such as gait modification, orthotics, walking aids, and custom treadmills are analyzed. Current gaps in our knowledge are identified and directions for future research in this area are outlined.

Indexed as

Models, BiologicalComputer SimulationHumansKnee JointMovementMuscle ContractionMuscle, SkeletalStress, Mechanical

Identifiers

PMID22468461
PMCPMC3324308

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.