Evidence map›Paper›PMID 27052009›Full record

ReviewCurrent reviews in musculoskeletal medicine2016

Functional knee assessment with advanced imaging.

Keiko Amano, Qi Li, C Benjamin Ma

Open access · bronzeAbstract readReview
In one paragraph

Review in Current reviews in musculoskeletal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Longitudinal analysis of tibiofemoral cartilage contact area and position in ACL reconstructed patients.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Trial
  2. Global rotation has high sensitivity in ACL lesions within stress MRI.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2017
    Trial
  3. Article
  4. Review
  5. Automatic detection of attachment sites for knee ligaments and tendons on CT images.International journal of computer assisted radiology and surgery · 2022
    Article
  6. Article
  7. 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

3 authors at 1 institution in 2 countries.

Keiko AmanoDepartment of Orthopaedic Surgery, University of California, San Francisco, San Francisco, CA, USA.
Qi LiDepartment of Orthopaedic Surgery, University of California, San Francisco, San Francisco, CA, USA.
C Benjamin MaDepartment of Orthopaedic Surgery, University of California, San Francisco, San Francisco, CA, USA. MaBen@ucsf.edu.
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of anterior cruciate ligament (ACL) reconstruction is to restore the native stability of the knee joint and to prevent further injury to meniscus and cartilage, yet studies have suggested that joint laxity remains prevalent in varying degrees after ACL reconstruction. Imaging can provide measurements of translational and rotational motions of the tibiofemoral joint that may be too small to detect in routine physical examinations. Various imaging modalities, including fluoroscopy, computed tomography (CT), and magnetic resonance imaging (MRI), have emerged as powerful methods in measuring the minute details involved in joint biomechanics. While each technique has its own strengths and limitations, they have all enhanced our understanding of the knee joint under various stresses and movements. Acquiring the knowledge of the complex and dynamic motions of the knee after surgery would help lead to improved surgical techniques and better patient outcomes.

Indexed as

ACLAdvanced imagingAnterior cruciate ligamentKnee assessmentKnee jointReconstruction

Identifiers

PMID27052009
PMCPMC4896883
OpenAlexW2318423695

What OpenQuestion holds

Textmetadata
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.