Evidence map›Paper›PMID 37781476›Full record

ArticleJournal of the Belgian Society of Radiology2023

Assessment of Imaging Factors Associated with Baker's Cyst Rupture on Knee MRI.

Dong Kyu Kim, Kyu-Chong Lee, Jin Kyem Kim, Taeho Kim

Open access · goldAbstract read
In one paragraph

Article in Journal of the Belgian Society of Radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

4 authors at 3 institutions in 3 countries.

Dong Kyu KimDepartment of Radiology, the Armed Forces Capital Hospital, Republic of Korea.ORCID https://orcid.org/0000-0001-7322-2550
Kyu-Chong LeeDepartment of Radiology, the Armed Forces Capital Hospital, Republic of Korea.ORCID https://orcid.org/0000-0002-4518-8567
Jin Kyem KimDepartment of Radiology, the Armed Forces Capital Hospital, Republic of Korea.ORCID https://orcid.org/0000-0002-3710-444X
Taeho KimDepartment of Radiology, the Armed Forces Capital Hospital, Republic of Korea.ORCID https://orcid.org/0000-0003-3709-2044
Armed Forces Capital Hospital · KRKorea University · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To identify the factors associated with Baker's cyst rupture on MRI. Material and methods: From January 2021 to December 2022, a total of 441 knee MRI examinations in 441 patients (mean age: 47.7 ± 13.8 years) with Baker's cyst were included in this study. Patients were classified into two groups: those with ruptured vs. unruptured Baker's cysts. On knee radiograph, osteoarthritis grade was assessed based on Kellgren-Lawrence grade. On MRI, combined structure injuries, alignment type between semimembranosus tendon and medial head of gastrocnemius tendon, amount of joint effusion, presence of septation, maximal diameters of cyst, and cyst volume were evaluated. Receiver operating characteristic (ROC) analysis was performed to assess the predictive performances of imaging factors for cyst rupture. Results: There were 146 patients with Baker's cyst rupture and 295 patients without rupture. Patients with cyst rupture showed significantly longer maximal transverse diameter (25.8 ± 6.8 mm vs. 21.6 ± 5.8 mm, Conclusion: Longer transverse diameter and larger volume of Baker's cyst could be predictive imaging parameters for cyst rupture.

Indexed as

Baker’s cystdiameterkneemagnetic resonance imagingrupturevolume

Identifiers

PMID37781476
PMCPMC10540859
OpenAlexW4387099014

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.