Evidence map›Paper›PMID 37424638›Full record

ArticleArthroscopy techniques2023

Diagnosis by Manual Maneuver of Medial Meniscus Ramp Lesions.

Diego Pires, Leonardo Monteiro, José Leonardo Rocha de Faria, Rodrigo Sattamini Pires E Albuquerque, Diego Astur, Vitor Barion Castro de Pádua, Rodrigo Salim, Robert F LaPrade

Abstract read
In one paragraph

Article in Arthroscopy techniques, 2023. 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

8 authors.

Diego PiresIntegral Medicine Institute Prof Fernado Figueira Recife, PE, Brazil.
Leonardo MonteiroPernambuco Military Police Hospital, Recife, PE, Brazil.
José Leonardo Rocha de FariaKnee Surgery Center of the National Institute of Traumatology and Orthopedics of Brazil, Rio de Janeiro, RJ, Brazil.
Rodrigo Sattamini Pires E AlbuquerqueKnee Surgery Center of the National Institute of Traumatology and Orthopedics of Brazil, Rio de Janeiro, RJ, Brazil.
Diego AsturAstur Institute São Paulo, SP, Brazil.
Vitor Barion Castro de PáduaUniversitary Hospital of Marília, SP, Brazil.
Rodrigo SalimSchool of Medicine from University of São Paulo, USP Riberão Preto, SP, Brazil.
Robert F LaPradeTwin Cities Orthopedics, Edina, Minnesota, U.S.A.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intra-articular injury most often associated with a chronic anterior cruciate ligament tear involves the posterior horn of the medial meniscus. A specific type of medial meniscal injury, called a ramp lesion, has received greater attention for identification and treatment because of its considerable incidence and diagnostic difficulty. Based on their location, these lesions may be arthroscopically "hidden" during traditional anterior visualization. The purpose of the present Technical Note is to describe the Recife maneuver. This maneuver diagnoses injuries to the posterior horn of the medial meniscus using additional arthroscopic management through a standard portal. The Recife maneuver is performed with the patient in the supine position. A 30° arthroscope is inserted through the anterolateral portal, and the posteromedial compartment is accessed according to the transnotch view (modified Gillquist view). In the proposed maneuver, with the knee in 30° of flexion, a valgus stress with internal rotation is performed, followed by palpation of the popliteal region and digital pressure on the joint interline. This maneuver allows a greater visualization of the posterior compartment, allowing the diagnostic evaluation of the integrity between the meniscus and the capsule, in a safer way, being able to identify ramp tears without the need to create a posteromedial portal. We recommend that the addition of the diagnostic visualization step of the posteromedial compartment as described by the Recife maneuver be performed to assess the meniscal status in routine anterior cruciate ligament reconstruction.

Identifiers

PMID37424638
PMCPMC10323914

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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.