Evidence map›Paper›PMID 41220657›Full record

ArticleArthroscopy techniques2025

Arthroscopic Rotator Cuff Repair Technique Incorporating Remnant Tendon Insertion.

Renato Miyadahira, Andrew S Bi, Arden Shen, Gregory Nicholson, Grant E Garrigues

Abstract read
In one paragraph

Article in Arthroscopy techniques, 2025. 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

5 authors.

Renato MiyadahiraMidwest Orthopaedics at Rush, Rush University Medical Center, Chicago, Illinois, U.S.A.
Andrew S BiMidwest Orthopaedics at Rush, Rush University Medical Center, Chicago, Illinois, U.S.A.
Arden ShenMidwest Orthopaedics at Rush, Rush University Medical Center, Chicago, Illinois, U.S.A.
Gregory NicholsonMidwest Orthopaedics at Rush, Rush University Medical Center, Chicago, Illinois, U.S.A.
Grant E GarriguesMidwest Orthopaedics at Rush, Rush University Medical Center, Chicago, Illinois, U.S.A.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rotator cuff repair (RCR) in massive tears often is limited by excessive repair tension and inadequate biological healing. Traditional techniques involve debriding the greater tuberosity and resecting remnant tendon tissue. However, this may eliminate valuable biological and structural elements. This Technical Note describes an arthroscopic approach for large RCR that includes the lateral remnant tendon into a double-row construct. The goal is to reduce repair stress while preserving native enthesis and vascularity. After conventional diagnostic arthroscopy and subacromial decompression, the medial cuff is mobilized and secured to a medialized footprint using double-loaded anchors. The lateral residual tendon is retained and incorporated into the "pants-over-vest" configuration. A lateral-row suture bridge compresses the natural insertion point. Preserving the remaining tendon stump can maintain vascular supply and potentially transfer progenitor cells to the healing site. This approach shortens the tendon-to-footprint distance, allowing for low-tension anatomic restoration. Previous animal and histology studies have demonstrated the therapeutic effects of remnant preservation. This method for transtendinous RCR is biologically beneficial and reduces tension, potentially increasing healing and functional outcomes. Further research is needed to determine its long-term clinical efficacy.

Identifiers

PMID41220657
PMCPMC12598216

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.