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Record W7118146764

Six-Month Interim Outcomes of the SPARTAN Study: A Prospective, Multicenter, Post-Market Surveillance Study on a Modular SI Joint Fusion System.

2025· article· en· W7118146764 on OpenAlexaboutno aff
Samuel Brown, Lee James, Gregory Moore, Caitlin D. Tourje, Farid Kia, Alireza Katouzian, Philip Sasso, Emmanuel Gage, Robert Michael Hullander, Michael Drass, Brian Durkin

Bibliographic record

VenuePubMed · 2025
Typearticle
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsModular designInterimSpartanJoint (building)Sensor fusionFusion
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Low back pain (LBP) is the most common type of pain reported by adults and the leading cause of disability globally. The sacroiliac joint (SIJ)-the large, load-bearing joint that connects the pelvis and lower spine-is one of the most underrecognized causes of LBP and has been determined to be a source of the condition in 10-38% of cases. While SIJ fusion has been shown to be a superior alternative to the long-term conservative management of SIJ dysfunction, many early SIJ fusion techniques have resulted in high incidences of adverse events (AEs) and serious adverse events (SAEs), long recovery times, and, often, the need for revision surgeries. OBJECTIVES: To prospectively assess the effectiveness of a minimally invasive lateral oblique approach to SIJ fusion that uses TransLoc 3DTM Sacroiliac Joint Fusion System (CornerLoc™) compression screws, based on patient-reported outcome measures of pain and functional improvement. STUDY DESIGN: Prospective study. SETTING: Seventeen pain centers across the United States. METHODS: Between November 13, 2023, and December 31, 2024, 114 patients underwent SIJ fusion via TransLoc 3DTM SIJ fusion compression screws in a procedure that used a minimally invasive lateral oblique approach. Outcomes for pain and functional improvement were assessed both before the procedure and at 3 (n = 85) and 6 (n = 72) months after it. Those outcomes were measured on the Numeric Rating Scale (NRS), Oswestry Disability Index (ODI), and Quebec Back Pain Disability Scale (QBPDS). Additionally, the safety and efficacy of the procedure were assessed using a composite endpoint comprising improvement in both NRS and ODI scores as well as the absence of AEs or SAEs. Comparisons between the groups of patients were performed using Student's t-test for continuous data or Fisher's exact test for categorical data. Mixed models for repeat measures were used to model factors associated with each endpoint longitudinally and generalized linear models for interim tests. All patients provided consent to participate in the study, and approval was obtained from the institutional review board (approval number 1356747). RESULTS: The average age of the patients at the baseline was 67.1 ± 10.5 years, and 70.8% were female. Our results show significant improvements in pain and functional outcomes from the baseline, as assessed by both the composite endpoint and individual measures (i.e., NRS, ODI, and QBPDS), 3 and 6 months after the procedure (P < 2.2 e-16 for all measures). Furthermore, 72.94% of patients reported improvements in both their NRS pain scores and ODI function scores within 3 months, while 90.3% reported an improvement at 6 months. Additionally, 84.7% of patients reported an improvement in their QBPDS scores within 6 months. A significant majority of patients experienced greater than 20% improvement in all outcome measures at 3 and 6 months (P < 2.16e-16). No AEs or SAEs were reported as results of the SIJ fusion procedure. LIMITATIONS: Patients reported the outcomes, and the analysis had only a single arm. CONCLUSIONS: The results of the present study show that patients received significant benefits from a minimally invasive lateral oblique approach to SIJ fusion that used 3D-printed titanium compression screws.

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)0.005
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 score0.005
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.019
GPT teacher head0.283
Teacher spread0.264 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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