Evidence map›Paper›PMID 31316242›Full record

ArticleJournal of clinical orthopaedics and trauma

Evaluation of the anterolateral ligament of the knee by magnetic resonance imaging in patients with chronic anterior cruciate ligament rupture.

Semra Duran, Elif Gunaydin, Ertugrul Aksahin, Uygar Dasar, Ali Bicimoglu, Bulent Sakman

Abstract read
In one paragraph

Article in Journal of clinical orthopaedics and trauma. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Semra DuranAnkara Numune Training and Research Hospital, Department of Radiology, Ankara, Turkey.
Elif GunaydinAnkara Medical Park Hospital, Department of Radiology, Ankara, Turkey.
Ertugrul AksahinMedical Park Hospital, Department of Orthopedics and Traumatology, Ankara, Turkey.
Uygar DasarKarabuk University, Department of Orthopedics and Traumatology, Karabuk, Turkey.
Ali BicimogluAnkara Numune Training and Research Hospital, Department of Orthopedics and Traumatology, Ankara, Turkey.
Bulent SakmanAnkara Numune Training and Research Hospital, Department of Radiology, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to evaluate the visibility of the anterolateral ligament (ALL) by magnetic resonance imaging (MRI) in patients with chronic anterior cruciate ligament (ACL) rupture. MATERIALS AND

methodsThis retrospective case - control study compared 1.5 - T MRI scans for 50 patients with a chronic ACL rupture with those of a control group of 50 patients with an intact ACL. The ALL was evaluated in three portions: femoral, meniscal, and tibial. The status of each portion was classified as visualized or non-visualized. Two radiologists separately reviewed all the MRI scans to evaluate interobserver reliability.

resultsAt least one portion of the ALL was visualized in 100% of the control group and 72% of the chronic ACL rupture group. All three portions of the ALL were identified in 72% of the control group but only 10% of the chronic ACL rupture group. In both groups, the most commonly visualized portion was the meniscal portion and the least visualized was the tibial portion. In 18% of the chronic ACL rupture group, no portion of the ALL was visualized.

conclusionsThe visibility of the ALL of the knee was significantly lower in patients with a chronic ACL rupture than in those with an intact one.

Indexed as

Anterior cruacite ligamentAnterolateral ligamentChronic rupturKneeMagnetic resonance imaging

Identifiers

PMID31316242
PMCPMC6611914

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.