Evidence map›Paper›PMID 40095472›Full record

ReviewJournal of clinical medicine2025

Exploring the Posterolateral Corner of the Knee Joint: A Detailed Review of Recent Literature.

Assala Abu-Mukh, Seungyup Lee, Hye Chang Rhim, Ki-Mo Jang

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Assala Abu-MukhDepartment of Orthopedics and Traumatology, IRCCS San Raffaele Hospital, Vita Salute San Raffaele University, 20132 Milan, Italy.ORCID 0000-0003-0407-9548
Seungyup LeeDepartment of Orthopedic Surgery, Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea.
Hye Chang RhimDepartment of Physical Medicine and Rehabilitation, Harvard Medical School, Spaulding Rehabilitation Hospital, Boston, MA 02115, USA.ORCID 0000-0002-7986-6493
Ki-Mo JangDepartment of Orthopedic Surgery, Anam Hospital, Korea University College of Medicine, Seoul 02841, Republic of Korea.ORCID 0000-0001-9370-3319

Funding

Korea University K2424541
6 · The paper itself

Abstract

One of the least understood and most elaborate and neglected knee stabilizers is the posterolateral corner (PLC) complex. PLC injury is associated with a high risk of re-injury, early athletic career termination, instability, progressive osteoarthritis, and a high risk of artificial knee replacement. The growing focus on the PLC, along with various recent anatomical and biomechanical studies, has provided further insights into the anatomy and function of posterolateral structures in knee stabilization and kinematics. The PLC should be considered as a functional unit, not only an anatomical unit. A low suspicion threshold should be maintained when considering PLC injuries, and thorough history evaluation, clinical examination, and adequate imaging should be conducted to reduce the chances of neglected PLC injuries. Various PLC repair and reconstruction techniques, ranging from non-anatomical to anatomical, have been introduced, with treatments increasingly favoring minimal incisions and arthroscopic procedures. Recent studies on the PCL have reported an increasing number of satisfactory clinical outcomes. This study aimed to provide a deeper understanding, as well as review the current and most feasible treatments for PLC injuries.

Indexed as

fibular collateral ligamentknee jointpopliteofibular ligamentpopliteus tendonposterolateral cornerposterolateral corner reconstruction

Identifiers

PMID40095472
PMCPMC11899980

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Registered trials

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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.