Evidence map›Paper›PMID 38988724›Full record

ArticleJournal of orthopaedics2024

Abnormal lateral meniscal signal in MRI after patellar dislocation does not indicate a meniscal tear: MR findings with surgical correlation.

Griffin Harris, Nikhil Patel, Gilberto O Lobaton, Clementina Cabrera, Daniel Quintero, Michael Baraga, Jean Jose

Abstract read
In one paragraph

Article in Journal of orthopaedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Griffin HarrisUniversity of Miami Miller School of Medicine, USA.
Nikhil PatelUniversity of Miami Miller School of Medicine, USA.
Gilberto O LobatonDepartment of Orthopaedics, University of Miami/Jackson Memorial Hospital, Miami, FL, USA.
Clementina CabreraDepartment of Radiology, University of Miami/Jackson Memorial Hospital, Miami, FL, USA.
Daniel QuinteroDepartment of Orthopaedics, University of Miami/Jackson Memorial Hospital, Miami, FL, USA.
Michael BaragaUniversity of Miami Miller School of Medicine, USA.
Jean JoseDepartment of Radiology, University of Miami/Jackson Memorial Hospital, Miami, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Combined injuries observed with first-time lateral patellar dislocation (LPD) of the knee, particularly significant soft tissue injury, can inform surgical intervention criteria. Purpose: The purpose of this study was to compare MRI findings in LPD to surgical correlation concerning meniscal pathology as a guide for surgical management. Study design: Retrospective case series, Level of evidence, 4. Methods: A retrospective review was conducted of 355 cases of patients with lateral patellar dislocation from 2012 to 2022. Imaging was reviewed by musculoskeletal radiologists blinded to surgical results for evidence of soft tissue injury, and associated arthroscopic data and operative reports were reviewed. Results: Out of 44 cases of LPD in 42 patients who underwent MPFL reconstructive surgery, 27 (61%) cases had grade 2a or higher signal changes in the anterior horn of the lateral meniscus, of which 10 (23%) had grade 3 signal changes. There were zero cases of meniscal tear in these cases upon review of operative reports and arthroscopic images. Conclusion: MRI findings of signal alterations in the lateral meniscus post-LPD may not indicate an actual tear. This could aid in surgical decision-making in primary LPD management.

Indexed as

Knee arthroscopyLateral patellar dislocationMeniscal pathologyMRI signaling

Identifiers

PMID38988724
PMCPMC11231650

What OpenQuestion holds

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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.