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Record W4401665384 · doi:10.1016/j.arthro.2024.07.033

Geniculate Artery Embolization for the Treatment of Mild to Moderate Knee Osteoarthritis Improves Pain and Function at Short‐Term Follow‐Up With Significant Procedural Heterogeneity Described Across the Literature: A Systematic Review

2024· review· en· W4401665384 on OpenAlexaboutno aff
Rodrigo Saad Berreta, Jared Rubin, Ashwinee Manivannan, Garrett Jackson, Eric J. Cotter, Zeeshan Ahmad Khan, Johnathon R. McCormick, Juan Bernardo Villarreal‐Espinosa, Salvador González Ayala, Nikhil N. Verma, Jorge Chahla

Bibliographic record

VenueArthroscopy The Journal of Arthroscopic and Related Surgery · 2024
Typereview
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisMedicineGeniculateEmbolizationRadiologyPathologyAlternative medicine

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate procedural heterogeneity, patient-reported outcomes (PROs), and complications following geniculate artery embolization (GAE) for knee osteoarthritis (OA). METHODS: A literature search was performed using PubMed, Embase, and Scopus databases from inception to August 2023 according to the 2020 Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Human clinical studies reporting PROs following GAE for treatment of knee OA were included, and a qualitative comparison across PROs, procedural descriptions, and complications was performed. Study quality was assessed using the Cochrane Collaboration's risk of bias tool and the Methodological Index for Non-Randomized Studies criteria. The primary outcome measures included changes in PROs at 12 months and variances in procedural methodology. RESULTS: A total of 17 studies, consisting of 533 patients and 620 knees, were identified. The reported mean improvement at 12 months for visual analog scale for pain and Western Ontario and McMaster Universities Arthritis Index scores ranged from 10 to 59 and 35.3 to 47, respectively. At 12 months, median improvements were observed in Knee injury and Osteoarthritis Outcome Score subscales such as Pain (range, 8.3-19.5), Quality of Life (15.49-25.0), Sport (7.5-26.3), and Symptoms (1.8-25.0). Decreasing minimal clinically important difference (MCID) achievement was observed between the 3-month and 6-month follow-up points. Patients with advanced OA and degenerative findings on magnetic resonance imaging exhibited lower rates of MCID achievement. Transient adverse events occurred in up to 80% of patients. Limited evidence from serial magnetic resonance imaging assessments suggests that GAE improves levels of synovitis. Significant heterogeneity exists among the GAE methodology as 4 different definitions of technical success, 4 distinct embolization targets, and use of 5 embolization agents were noted. CONCLUSIONS: GAE results in short-term improvements in pain and function with decreasing MCID achievement observed after 3 to 6 months. Patients with severe OA also demonstrate lower rates of MCID achievement. A high rate of transient complications is reported, including skin discoloration and access site hematomas. Significant protocol heterogeneity exists, which contributes to variable outcomes. LEVEL OF EVIDENCE: Level IV, systematic review of Level I to IV studies.

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)0.015
metaresearch head score (Gemma)0.058
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.058
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0110.013
Bibliometrics0.0070.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.293
Teacher spread0.268 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations3
Published2024
Admission routes1
Has abstractyes

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