Evidence map›Paper›PMID 35493048›Full record

ArticleArthroscopy techniques2022

Arthroscopic Rotator Cuff Repair Technique Using a Bio-Composite Scaffold for Tissue Augmentation.

Quincy T Cheesman, Patrick F Szukics, Michael Stark, Sterling C Kramer, Sean McMillan

Open access · goldAbstract read
In one paragraph

Article in Arthroscopy techniques, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Rotator cuff disease, repair and augmentation.Bulletin of the Hospital for Joint Disease (2013) · 2026
    Review
  5. Grafts in tendon repair.Materials today. Bio · 2026
    Review
  6. The role of new synthetic membranes in rotator cuff augmentation.Journal of experimental orthopaedics · 2026
    Review
  7. Article
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  10. Review
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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 at 3 institutions in 1 country.

Quincy T CheesmanRowan University School of Osteopathic Medicine, Stratford, New Jersey, U.S.A.
Patrick F SzukicsRowan University School of Osteopathic Medicine, Stratford, New Jersey, U.S.A.
Michael StarkRowan University School of Osteopathic Medicine, Stratford, New Jersey, U.S.A.
Sterling C KramerInspira Health Network, Vineland, New Jersey, U.S.A.
Sean McMillanVirtua Orthopedics, Burlington, New Jersey, U.S.A.
Rowan University · USInspira Medical Center Vineland · USVirtua Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of biologics and rotator cuff augmentation have seen significant growth in interest to combat complications of rotator cuff retear after arthroscopic rotator cuff repair. Bio-inductive implants are used to induce new tissue formation; however, they lack structural strength at the time of implantation. Conversely, dermal allografts are used to provide structural strength at implantation, but they do not allow for sufficient tissue incorporation and carry inherent risks of allograft tissue. The BioBrace™ (Biorez, New Haven, CT) is a bio-inductive scaffold composed of highly porous type I collagen and bio-resorbable poly (l-lactide) microfilaments developed to combat the latter drawbacks. The unique bio-composite properties provide the ability to combine the benefits of bio-induction and strength into a single implant. We propose a successful, reproducible technique for the implantation of BioBrace for rotator cuff augmentation.

Identifiers

PMID35493048
PMCPMC9051668
OpenAlexW4221045259

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.