Evidence map›Paper›PMID 31852148›Full record

ArticleMedicine2019

Avulsion of the femoral attachment of the medial collateral ligament in the setting of knee multiligament injury: A case report.

Deming Guo, Haichi Yu, Bingzhe Huang, Xue Gao, Yanguo Qin, Xiaoning Liu

Open access · goldAbstract readCase Reports
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. The Stieda fracture revisited.Skeletal radiology · 2021
    Article
  5. 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 at 1 institution in 1 country.

Deming GuoOrthopaedic Medical Center, The Second Hospital of Jilin University, Changchun, China.
Haichi Yu
Bingzhe Huang
Xue Gao
Yanguo Qin
Xiaoning Liu
Second Affiliated Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

rationaleMedial collateral ligament (MCL) injury is a common sports injury. The damage mainly occurs in ligament fibers, but MCL avulsion fracture is extremely rare and only a few reports have been published. PATIENT CONCERNS: Herein, we present a healthy 21-year-old man with an avulsion fracture of the MCL of the right knee sustained during snowboarding. DIAGNOSIS: Clinical and radiographic findings confirmed the presence of an avulsion fracture at the proximal attachment of the MCL, combined with complete anterior cruciate ligament (ACL) and posterior cruciate ligament (PCL) rupture.

interventionsThe patient underwent single-stage ACL, PCL reconstruction, and MCL repair. OUTCOMES: Two weeks after the surgery, the patient developed heterotopic ossification (HO) at the medial side of the knee, HO tended to be stable and mature at the 3-month follow-up examination. One year after the operation, the patient's knee was fully functional, stable, and pain free. LESSONS: Femoral attachment avulsion fracture of the MCL is in contrast to common isolated MCL injuries. Early surgical repair is advocated for the greatest benefit. Orthopedic surgeons should keep the potential complication HO in mind and develop rational strategies for HO prevention and treatment.

Indexed as

Anterior Cruciate Ligament InjuriesFemurFractures, AvulsionHumansMagnetic Resonance ImagingMaleMedial Collateral Ligament, KneePlastic Surgery ProceduresPosterior Cruciate LigamentRange of Motion, ArticularTransplantation, AutologousYoung Adult

Identifiers

PMID31852148
PMCPMC6922482
OpenAlexW2996625759

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.