Evidence map›Paper›PMID 32322301›Full record

ReviewApplied bionics and biomechanics2020

Knee Joint Biomechanics in Physiological Conditions and How Pathologies Can Affect It: A Systematic Review.

Li Zhang, Geng Liu, Bing Han, Zhe Wang, Yuzhou Yan, Jianbing Ma, Pingping Wei

Open access · goldAbstract readReview
In one paragraph

Review in Applied bionics and biomechanics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
9.0field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Intramuscular Fat Infiltration and Knee Osteoarthritis: A Systematic Review and Meta-Analysis.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026
    Pooled it
  2. Pooled it
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  4. Trial
  5. Article
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  8. Step-by-step insight into gait analysis: A narrative review unlocking knee biomechanics.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Knee Health Is a Major Determinant of Mobility Across the Healthspan.Journal of functional morphology and kinesiology · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. The Role of Alignment in Treating Meniscus Pathology.Current reviews in musculoskeletal medicine · 2025
    Review
  19. Article
  20. 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

7 authors at 3 institutions in 1 country.

Li ZhangShaanxi Engineering Laboratory for Transmissions and Controls, Northwestern Polytechnical University, Xi'an 710072, China.ORCID https://orcid.org/0000-0002-2535-3668
Geng LiuShaanxi Engineering Laboratory for Transmissions and Controls, Northwestern Polytechnical University, Xi'an 710072, China.ORCID https://orcid.org/0000-0003-1940-1253
Bing HanShaanxi Engineering Laboratory for Transmissions and Controls, Northwestern Polytechnical University, Xi'an 710072, China.ORCID https://orcid.org/0000-0001-5820-8013
Zhe WangShaanxi Engineering Laboratory for Transmissions and Controls, Northwestern Polytechnical University, Xi'an 710072, China.ORCID https://orcid.org/0000-0003-2503-9270
Yuzhou YanShaanxi Engineering Laboratory for Transmissions and Controls, Northwestern Polytechnical University, Xi'an 710072, China.ORCID https://orcid.org/0000-0001-8671-1089
Jianbing MaHong-Hui hospital, Xi'an Jiaotong University College of Medicine, Xi'an 710054, China.ORCID https://orcid.org/0000-0001-8065-0262
Pingping WeiState Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710054, China.
Northwestern Polytechnical University · CNXi'an Honghui Hospital · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The knee joint, as the main lower limb motor joint, is the most vulnerable and susceptible joint. The knee injuries considerably impact the normal living ability and mental health of patients. Understanding the biomechanics of a normal and diseased knee joint is in urgent need for designing knee assistive devices and optimizing a rehabilitation exercise program. In this paper, we systematically searched electronic databases (from 2000 to November 2019) including ScienceDirect, Web of Science, PubMed, Google Scholar, and IEEE/IET Electronic Library for potentially relevant articles. After duplicates were removed and inclusion criteria applied to the titles, abstracts, and full text, 138 articles remained for review. The selected articles were divided into two groups to be analyzed. Firstly, the real movement of a normal knee joint and the normal knee biomechanics of four kinds of daily motions in the sagittal and coronal planes, which include normal walking, running, stair climbing, and sit-to-stand, were discussed and analyzed. Secondly, an overview of the current knowledge on the movement biomechanical effects of common knee musculoskeletal disorders and knee neurological disorders were provided. Finally, a discussion of the existing problems in the current studies and some recommendation for future research were presented. In general, this review reveals that there is no clear assessment about the biomechanics of normal and diseased knee joints at the current state of the art. The biomechanics properties could be significantly affected by knee musculoskeletal or neurological disorders. Deeper understanding of the biomechanics of the normal and diseased knee joint will still be an urgent need in the future.

Identifiers

PMID32322301
PMCPMC7160724
OpenAlexW3014885367

What Socratic 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 Socratic graph.