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Record W2887360489 · doi:10.1177/2325967118789871

Safety Profile and Short-term Outcomes of BST-CarGel as an Adjunct to Microfracture for the Treatment of Chondral Lesions of the Hip

2018· article· en· W2887360489 on OpenAlexaff
Chanseok Rhee, Eyal Amar, Mark Glazebrook, Catherine Coday, Ivan Wong

Bibliographic record

VenueOrthopaedic Journal of Sports Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsDalhousie UniversityNova Scotia Health Authority
Fundersnot available
KeywordsMedicineAdjunctTerm (time)SurgeryPhysical therapy

Abstract

fetched live from OpenAlex

Background: Acetabular cartilage lesions are a common abnormality found in patients undergoing hip arthroscopic surgery and may cause pain and functional limitations. Several strategies have been developed to treat chondral defects, with no overwhelming success. Recently, BST-CarGel has gained interest as a scaffolding material that can be injected into the microfracture site to stabilize the clot and facilitate cartilage repair. Purpose: To perform a retrospective analysis of prospectively collected data to evaluate the safety profile and short-term clinical and radiographic outcomes of patients treated arthroscopically with BST-CarGel for acetabular chondral defects in conjunction with microfracture. Study Design: Case series; Level of evidence, 4. Methods: A retrospective chart review was performed on all patients who underwent hip arthroscopic surgery by the senior surgeon to identify those who had BST-CarGel applied to their hip from November 2014 to July 2016, and basic demographic information for those patients was obtained. Operative reports and patient charts were reviewed to assess intraoperative and postoperative complications as well as to obtain the details of surgery, including lesion size and treatment method of the labrum (repair vs reconstruction). All patients filled out self-reported questionnaires, including the international Hip Outcome Tool (iHOT), Hip Outcome Score–Activities of Daily Living (HOS-ADL), and Hip Outcome Score–Sports Profile (HOS-SP) at the time of consultation and at 1 year postoperatively, and results were used to assess the clinical outcomes of surgery. Results: Thirty-seven patients (37 hips) with a mean age of 36.19 years at the time of the index procedure were evaluated. There were 30 male patients, and 20 procedures were performed on the right hip. The minimum follow-up was 1 year, with a mean follow-up of 12.72 months. There were no major adverse events of deep vein thrombosis, blood vessel or nerve damage, hemarthrosis, arthralgia, or device-related adverse events. Two patients (5.4%) were readmitted because of pain, probably resulting from an inflammatory reaction to BST-CarGel. At 1 year postoperatively, there were statistically significant improvements in the iHOT (40.4 to 59.1; P < .001), HOS-ADL (60.6 to 71.4; P = .02), and HOS-SP (36.9 to 51.6; P = .01) scores. When the patients were subdivided based on the chondral defect size, the iHOT score improved for all chondral defect sizes, and the HOS-SP score improved in patients with medium (2-4 cm 2 ) and very large (>6 cm 2 ) chondral defects. In addition, the iHOT score improved whether the patients had their labrum repaired or reconstructed ( P < .001 and P = .02, respectively). Conclusion: The arthroscopic treatment of chondral acetabular defects with BST-CarGel demonstrates a satisfactory safety profile, with statistically significant improvement in patient-reported clinical outcome scores, even for those with very large chondral defect sizes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.319
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations22
Published2018
Admission routes1
Has abstractyes

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