Evidence map›Paper›PMID 40170770›Full record

ReviewClinics in orthopedic surgery2025

Hyperlipidemia and Rotator Cuff Tears: Exploring Mechanisms and Effective Treatment.

Kang-San Lee, Sung-Jin Park, Dong-Hyun Kim, Seok Won Chung, Jun-Young Kim, Chul-Hyun Cho, Jong Pil Yoon

Abstract readReview
In one paragraph

Review in Clinics in orthopedic surgery, 2025. 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. 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

7 authors.

Kang-San LeeDepartment of Orthopedic Surgery, Kyungpook National University Hospital, Daegu, Korea.ORCID https://orcid.org/0000-0001-7932-0426
Sung-Jin ParkDepartment of Orthopedic Surgery, Kyungpook National University Hospital, Daegu, Korea.ORCID https://orcid.org/0009-0008-6869-0788
Dong-Hyun KimDepartment of Orthopedic Surgery, Kyungpook National University Hospital, Daegu, Korea.ORCID https://orcid.org/0000-0001-9078-5953
Seok Won ChungDepartment of Orthopedic Surgery, Konkuk University Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0002-8221-9289
Jun-Young KimDepartment of Orthopedic Surgery, Daegu Catholic University School of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0003-4700-3041
Chul-Hyun ChoDepartment of Orthopedic Surgery, Keimyung University School of Medicine, Daegu, Korea.ORCID https://orcid.org/0000-0003-0252-8741
Jong Pil YoonDepartment of Orthopedic Surgery, Kyungpook National University Hospital, Daegu, Korea.ORCID https://orcid.org/0000-0001-6446-6254

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The detrimental effects of hyperlipidemia on the healing of rotator cuff tears are well documented. The proposed underlying mechanisms for these effects include alterations in the extracellular matrix, inflammation, and oxidative stress, which hamper the reparative processes in the affected tendon tissues. Recent therapeutic strategies target these pathways, reflecting a growing body of research dedicated to mitigating these effects and promoting healing. This literature review aims to provide a comprehensive understanding of the pathophysiology underlying rotator cuff tears, examine the interplay between hyperlipidemia and rotator cuff tear healing, synthesize current knowledge on contributing biological mechanisms, and outline potential therapeutic interventions to optimize clinical management and treatment outcomes for patients.

Indexed as

HyperlipidemiasRotator Cuff InjuriesHumansOxidative StressWound HealingHyperlipidemiaInflammationOxidative stressRotator cuff tear

Identifiers

PMID40170770
PMCPMC11957820

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.