Evidence map›Paper›PMID 35842857›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2023

Medial meniscus tears are most prevalent in type I ACL tears, while type I ACL tears only account for 8% of all ACL tears.

Lingjie Tan, Jiehui Liang, Jing Feng, Yangbo Cao, Jiewen Luo, Yunjie Liao, Xu Cao, Zili Wang, Jinshen He, Song Wu

Abstract read
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In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2023. 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
1.7field-weighted citation impact, top 16% 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, 10 citations in OpenAlex.

  1. Trial
  2. Pediatric ACL Injuries: A Current Concepts Review.Journal of clinical medicine · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Review
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

10 authors at 1 institution in 1 country.

Lingjie TanDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Jiehui LiangDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Jing FengDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Yangbo CaoDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Jiewen LuoDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Yunjie LiaoDepartment of Radiology, Third Xiangya Hospital of Central South University, Changsha, China.
Xu CaoDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Zili WangDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Jinshen HeDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China. Jinshen.he@Hotmail.com.ORCID http://orcid.org/0000-0003-0277-3819
Song WuDepartment of Orthopaedic Surgery, Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Central South University · CN

Funding

Central South University 2021JY188National Natural Science Foundation of China 82802208Natural Science Foundation of Hunan Province 2020JJ4839Natural Science Foundation of Hunan Province 2021JJ40922
6 · The paper itself

Abstract

purposeThis study aimed to assess the distribution of different anterior cruciate ligament (ACL) tear locations in different magnetic resonance imaging (MRI) planes, and to explore the relationships of ACL tear types with both meniscus injuries and bone bruising.

methodsA retrospective study was performed in patients under 60 years old who underwent MRI scans in the sagittal and coronal oblique planes of the knee for ACL tears between 2014 and 2020. Patients with reports of chronic tears, partial tears, or prior surgeries were excluded. Tear locations were classified into five types, and the meniscus tear measurement variables included the presence of ramp, root, bucket-handle, and other types of tears. All injuries were confirmed by arthroscopy. Meanwhile, the presence and location of bone bruising were analysed and scored with the Whole-Organ Magnetic Resonance Imaging Score (WORMS) bone bruising subscale.

resultsA total of 291 patients were included. The prevalence rates of type I and type III injuries were 23/291 (7.9%) and 145/291 (49.8%) in the sagittal plane and 22/291 (7.6%) and 179/291 (61.5%) in the oblique coronal plane, respectively. The prevalence of medial meniscus tears with ACL tears was 126/291 (43.3%), while that of lateral meniscus tears with ACL tears was 77/291 (26.5%). The highest prevalence of medial meniscus injury with ACL tears was 15/22 (68.2%) for type I injuries. Bone bruises were located on the lateral femoral center in 125 patients (46%) and on the lateral tibia posterior in 132 patients (48%); the common areas of bone bruising were slightly correlated with type III ACL tears but not correlated with type I ACL tears.

conclusionThe plane in which an MRI scan is performed affects the classification of ACL tears. The tear type is associated with the prevalence of medial meniscus injuries, and medial meniscus tears are most prevalent in type I ACL tears. LEVEL OF EVIDENCE: IV.

Indexed as

Anterior Cruciate Ligament InjuriesKnee InjuriesHumansKnee JointMagnetic Resonance ImagingMenisci, TibialRetrospective StudiesRuptureAnterior cruciate ligamentBone bruisingMeniscus injuryOblique coronal planeRepairTear type

Identifiers

PMID35842857
OpenAlexW4285676738

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.