Evidence map›Paper›PMID 38584643›Full record

ArticleArthroscopy techniques2024

Anterior Cruciate Ligament Reconstruction using Bone-Tendon-Bone Allograft: Surgical Technique Using Augmentation with Bio-Composite Scaffold.

Elizabeth Marks Benson, Kaitlin Pyrz, Audria Wood, Amit Momaya, Eugene Brabston, Thomas Evely, Aaron Casp

Abstract read
In one paragraph

Article in Arthroscopy techniques, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. [Research progress of suture augmentation in anterior cruciate ligament reconstruction].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
    Review
  8. Article
  9. 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.

Elizabeth Marks BensonDepartment of Orthopaedics, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
Kaitlin PyrzAugusta University/University of Georgia Medical Partnership, Athens, Georgia, U.S.A.
Audria WoodDepartment of Orthopaedics, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
Amit MomayaDepartment of Orthopaedics, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
Eugene BrabstonDepartment of Orthopaedics, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
Thomas EvelyDepartment of Orthopaedics, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.
Aaron CaspDepartment of Orthopaedics, University of Alabama at Birmingham, Birmingham, Alabama, U.S.A.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anterior cruciate ligament (ACL) rupture rates remain high; the incidence of isolated ACL ruptures is 68.6 per 100,000. This Technical Note introduces a technique for ACL reconstruction (ACLR) using a bone-tendon-bone (BTB) allograft augmented with BioBrace, a biocomposite scaffold. The BioBrace scaffold is sutured onto the BTB allograft to reinforce the ligament and accelerate healing. Graft preparation with BioBrace, ACLR, and graft passage is described. This technique aims to reduce re-rupture risk, enhance graft healing, and improve patient-reported outcomes. BioBrace offers advantages over other augmentation approaches and synthetic materials, providing improved remodeling, biologic integration, and increased mechanical strength. Feasibility and efficacy have been demonstrated in animal models and human applications. This technique presents a promising approach to enhance ACLR outcomes.

Identifiers

PMID38584643
PMCPMC10995643

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Registered trials

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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.