Evidence map›Paper›PMID 36645042›Full record

ArticleThe American journal of sports medicine2023

Quantitative MRI Biomarkers to Predict Risk of Reinjury Within 2 Years After Bridge-Enhanced ACL Restoration.

Dominique A Barnes, Gary J Badger, Yi-Meng Yen, Lyle J Micheli, Dennis E Kramer, Paul D Fadale, Michael J Hulstyn, Brett D Owens, BEAR Trial Team, Sean W Flannery and 9 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of sports medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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

19 authors at 3 institutions in 1 country.

Dominique A BarnesDepartment of Orthopaedics, Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, Rhode Island, USA.ORCID 0000-0003-4917-7854
Gary J BadgerDepartment of Medical Biostatistics, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA).
Yi-Meng YenDepartment of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-1306-4201
Lyle J MicheliDepartment of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Dennis E KramerDepartment of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Paul D FadaleDepartment of Orthopaedics, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Michael J HulstynDepartment of Orthopaedics, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
Brett D OwensDepartment of Orthopaedics, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.ORCID 0000-0002-9972-0096
BEAR Trial Team
Sean W FlanneryDepartment of Orthopaedics, Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, Rhode Island, USA.
Kirsten EcklundDepartment of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Ryan M SanbornDepartment of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Meggin Q CostaDepartment of Orthopaedics, Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, Rhode Island, USA.
Cynthia ChrostekDepartment of Orthopaedics, Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, Rhode Island, USA.
Benedikt L ProffenDepartment of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Nicholas SantDepartment of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Martha M MurrayDepartment of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Braden C FlemingDepartment of Orthopaedics, Warren Alpert Medical School of Brown University/Rhode Island Hospital, Providence, Rhode Island, USA.ORCID 0000-0002-7841-425X
Ata M KiapourDepartment of Orthopaedic Surgery, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-7742-5769
Boston Children's Hospital · USBrown University · USUniversity of Vermont · US

Funding

Pilot Projects ProgramP30GM122732 · NIGMS · RHODE ISLAND HOSPITAL · PI CRISCO, JOSEPH J · 2017 to 2021
$6.6M
Non-invasive Assessment of Ligament Healing, in VivoR01AR065462 · NIAMS · RHODE ISLAND HOSPITAL · PI FLEMING, BRADEN C, MURRAY, MARTHA M · 2014 to 2016
$2.1M
NIAMS NIH HHS R01 AR065462NIGMS NIH HHS P30 GM122732
6 · The paper itself

Abstract

backgroundQuantitative magnetic resonance imaging (qMRI) methods were developed to establish the integrity of healing anterior cruciate ligaments (ACLs) and grafts. Whether qMRI variables predict risk of reinjury is unknown. PURPOSE: To determine if qMRI measures at 6 to 9 months after bridge-enhanced ACL restoration (BEAR) can predict the risk of revision surgery within 2 years of the index procedure. STUDY

designCohort study; Level of evidence, 2.

methodsOriginally, 124 patients underwent ACL restoration as part of the BEAR I, BEAR II, and BEAR III prospective trials and had consented to undergo an MRI of the surgical knee 6 to 9 months after surgery. Only 1 participant was lost to follow-up, and 4 did not undergo MRI, leaving a total of 119 patients for this study. qMRI techniques were used to determine the mean cross-sectional area; normalized signal intensity; and a qMRI-based predicted failure load, which was calculated using a prespecified equation based on cross-sectional area and normalized signal intensity. Patient-reported outcomes (International Knee Documentation Committee subjective score), clinical measures (hamstring strength, quadriceps strength, and side-to-side knee laxity), and functional outcomes (single-leg hop) were also measured at 6 to 9 months after surgery. Univariate and multivariable analyses were performed to determine the odds ratios (ORs) for revision surgery based on the qMRI and non-imaging variables. Patient age and medial posterior tibial slope values were included as covariates.

resultsIn total, 119 patients (97%), with a median age of 17.6 years, underwent MRI between 6 and 9 months postoperatively. Sixteen of 119 patients (13%) required revision ACL surgery. In univariate analyses, higher International Knee Documentation Committee subjective score at 6 to 9 months postoperatively (OR = 1.66 per 10-point increase;

conclusionQuantitative MRI-based predicted failure load of the healing ACL was a significant predictor of the risk of revision within 2 years after BEAR surgery. The current findings highlight the potential utility of early qMRI in the postoperative management of patients undergoing the BEAR procedure.

Indexed as

Anterior Cruciate Ligament InjuriesAnterior Cruciate Ligament ReconstructionReinjuriesAnterior Cruciate LigamentBiomarkersCohort StudiesHumansInfantKnee JointMagnetic Resonance ImagingProspective StudiesReoperationBiomarkersanterior cruciate ligament (ACL)bridge-enhanced ACL restoration (BEAR)failurequantitative magnetic resonance imaging (qMRI)revision surgeryrisk factors

Identifiers

PMID36645042
PMCPMC9905304
OpenAlexW4316468653

What OpenQuestion holds

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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.