Evidence map›Paper›PMID 42984738›Full record

ArticleArthroscopy techniques2026

High-Strength Tape for Cable Structure Reconstruction During Arthroscopic Repair of L-Shaped Rotator Cuff Tears.

Shunnan Liu, Yizhong Ren, Yanbo Jia, Nan Ye, Zhe Dou, Jiutao Jia, Yuyan Na

Abstract read
In one paragraph

Article in Arthroscopy techniques, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shunnan LiuDepartment of Sports Medicine The Second Affiliated Hospital of Inner Mongolia Medical University Hohhot China.
Yizhong RenDepartment of Sports Medicine The Second Affiliated Hospital of Inner Mongolia Medical University Hohhot China.
Yanbo JiaDepartment of Sports Medicine The Second Affiliated Hospital of Inner Mongolia Medical University Hohhot China.
Nan YeDepartment of Sports Medicine The Second Affiliated Hospital of Inner Mongolia Medical University Hohhot China.
Zhe DouDepartment of Sports Medicine The Second Affiliated Hospital of Inner Mongolia Medical University Hohhot China.
Jiutao JiaInner Mongolia Medical University Hohhot China.ORCID https://orcid.org/0009-0006-9669-2727
Yuyan NaDepartment of Sports Medicine The Second Affiliated Hospital of Inner Mongolia Medical University Hohhot China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the innovation and progressive maturation of arthroscopic techniques, the advantages of minimally invasive surgery and accelerated rehabilitation have made arthroscopy a preferred option for patients with rotator cuff injuries. However, for complex rotator cuff tears, such as "L-shaped" tendon tears, the risk of postoperative retear remains considerable. The cable structure, serving as a "suspension bridge" within the rotator cuff, is a critical load-bearing component of the shoulder joint. This structure is frequently compromised in "L-shaped" rotator cuff tears. In this report, we describe an arthroscopic technique using high-strength tape to restore the cable structure and treat "L-shaped" rotator cuff tears. The key steps include using high-strength tape to reduce the retracted tendon stump and restore the cable structure, thereby re-establishing mechanical integrity, reducing tension on the repaired tendon, and minimizing the cutting effect of sutures on the tendon. Finally, the sutures from the medial-row anchor are employed to perform a "Margin Convergence" repair of the longitudinal tear component.

Identifiers

PMID42984738
PMCPMC13731808

What OpenQuestion holds

Textmetadata
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.