Evidence map›Paper›PMID 38313859›Full record

ArticleArthroscopy, sports medicine, and rehabilitation2024

Acellular Human Dermal Allograft Tuberoplasty Improved the Biomechanics in Mid-Range and Higher Abduction Angles in a Cadaveric Model of Massive Irreparable Rotator Cuff Tears.

Ryan Lew, Maxwell Park, Ryan Beyer, Michelle H McGarry, Manik Dham, Oliver Hauck, Gregory Adamson, Thay Q Lee

Abstract read
In one paragraph

Article in Arthroscopy, sports medicine, and rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

8 authors.

Ryan LewOrthopaedic Biomechanics Laboratory, Congress Medical Foundation, Pasadena, California, U.S.A.
Maxwell ParkOrthopaedic Biomechanics Laboratory, Congress Medical Foundation, Pasadena, California, U.S.A.
Ryan BeyerOrthopaedic Biomechanics Laboratory, Congress Medical Foundation, Pasadena, California, U.S.A.
Michelle H McGarryOrthopaedic Biomechanics Laboratory, Congress Medical Foundation, Pasadena, California, U.S.A.
Manik DhamArthrex, Inc., Naples, Florida, U.S.A.
Oliver HauckArthrex, Inc., Naples, Florida, U.S.A.
Gregory AdamsonOrthopaedic Biomechanics Laboratory, Congress Medical Foundation, Pasadena, California, U.S.A.
Thay Q LeeOrthopaedic Biomechanics Laboratory, Congress Medical Foundation, Pasadena, California, U.S.A.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the biomechanical effects of acellular human dermal allograft tuberoplasty (AHDAT) in a cadaveric model of an irreparable supraspinatus + anterior one-half infraspinatus (stage III) rotator cuff tear. Methods: Eight cadaveric shoulders were tested at 20°, 40°, and 60° of glenohumeral abduction (AB) and 0°, 30°, 60°, and 90° of external rotation (ER). Superior humeral translation, acromiohumeral distance, and subacromial contact were quantified for 4 conditions: (1) intact, (2) stage III tear (entire supraspinatus and anterior one-half infraspinatus), (3) single-layer AHDAT, and (4) double-layer AHDAT. Results: Stage III tear significantly increased superior translation at 20° and 40° AB and all ER angles and at 60° AB/60° ER ( Conclusions: Both single- and double-layer grafts for AHDAT improved superior translation, subacromial contact characteristics, and acromiohumeral distance after a stage III rotator cuff tear, with varying effectiveness due to the position-dependent nature of greater tuberosity to acromial contact with abduction. Clinical Relevance: The best treatment for massive or irreparable rotator cuff tears is a matter of concern. The results of this study will help determine whether an acellular human dermal allograft tuberoplasty is a potential treatment option worthy of further investigation.

Identifiers

PMID38313859
PMCPMC10834468

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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.