Evidence map›Paper›PMID 34025056›Full record

ArticleJournal of orthopaedics

Accuracy of magnetic resonance imaging in predicting anterior cruciate ligament tear location and tear degree.

Henry T Shu, Nicholas R Wegener, Katherine M Connors, Daniel S Yang, Stephen D Lockey, Jennifer M Thomas, Evan H Argintar

Abstract read
In one paragraph

Article in Journal of orthopaedics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Reliability of Preoperative MRI in the Prediction of ACL Tear Type.Orthopaedic journal of sports medicine · 2025
    Article
  6. Article
  7. Review
  8. The posterior cruciate ligament inclination angle is higher in anterior cruciate ligament insufficiency.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2022
    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

7 authors.

Henry T ShuDepartment of Orthopaedic Surgery, MedStar Washington Hospital Center, Washington, DC, 20007, USA.
Nicholas R WegenerSchool of Medicine, Georgetown University, Washington, DC, 20007, USA.
Katherine M ConnorsDepartment of Orthopaedic Surgery, SUNY Downstate Health Sciences University, Brooklyn, N.Y., 11203, USA.
Daniel S YangWarren Alpert Medical School, Brown University, Providence, RI, 02903, USA.
Stephen D LockeyDepartment of Orthopaedic Surgery, Georgetown University Medical Center, Ground Floor Pasquerilla Healthcare Center, Washington, DC, 20007, USA.
Jennifer M ThomasDepartment of Radiology, MedStar Washington Hospital Center, Washington, D., 20007, USA.
Evan H ArgintarDepartment of Orthopaedic Surgery, MedStar Washington Hospital Center, Washington, DC, 20007, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study is to evaluate the reliability of magnetic resonance imaging (MRI) in predicting the location of ACL tears in preoperative planning for anterior cruciate ligament (ACL) repair.

methodsThirty-four patients who underwent ACL repair were retrospectively analyzed to compare intraoperative arthroscopic findings with preoperative MRIs.

resultsFor identifying type I tears, the sensitivity of MRI was 9.0% and the accuracy of MRI was 8.8%. There was moderate interrater agreement between MRI findings for tear location and tear degree.

conclusionMRI alone may not necessarily be accurate in identifying which ACL tears are amenable to repair. STUDY

designRetrospective case series; Level of Evidence: IV.

Indexed as

Anterior cruciate ligament repairAnterior cruciate ligament tearMagnetic resonance imaging

Identifiers

PMID34025056
PMCPMC8129892

What OpenQuestion holds

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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.