Evidence map›Paper›PMID 34258202›Full record

ArticleArthroscopy techniques2021

How to Detect Meniscal Ramp Lesions Using Ultrasound.

Junsuke Nakase, Kazuki Asai, Rikuto Yoshimizu, Mitsuhiro Kimura, Hiroyuki Tsuchiya

Open access · goldAbstract read
In one paragraph

Article in Arthroscopy techniques, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Beyond the ACL: The Hidden Impact of Ramp Tears on Knee Stability.The archives of bone and joint surgery · 2026
    Review
  3. Identifying unstable ramp lesions using ultrasonography.Journal of medical ultrasonics (2001) · 2024
    Article
  4. The Role of Ultrasound in the Diagnosis and Treatment of Meniscal Injuries.Current reviews in musculoskeletal medicine · 2024
    Review
  5. Article
  6. 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

5 authors at 1 institution in 1 country.

Junsuke NakaseDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Kazuki AsaiDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Rikuto YoshimizuDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Mitsuhiro KimuraDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Hiroyuki TsuchiyaDepartment of Orthopaedic Surgery, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan.
Kanazawa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The clinical importance of meniscal ramp lesions in patients with anterior cruciate ligament tears has emerged. However, the diagnostic accuracy of magnetic resonance imaging for detecting meniscal ramp lesions is low. The advantage of ultrasonography is that it can be performed in any position and is a real-time imaging modality. The goal of this Technical Note is to describe in detail the ultrasound technique that we use to detect meniscal ramp lesions in patients with anterior cruciate ligament tears. The semimembranosus muscle is a reliable landmark for this technique. The examination position is prone, with the knee joint flexed to 70°. The most important part of this technique is to instruct the patient to perform isometric contractions in knee flexion with the support of an assistant. The presence or absence of a meniscal ramp lesion can be diagnosed preoperatively by setting the probe above the semimembranosus tendon.

Identifiers

PMID34258202
PMCPMC8252820
OpenAlexW3163561408

What OpenQuestion 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 OpenQuestion graph.