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Record W4385657685 · doi:10.1016/j.inpm.2023.100271

The effectiveness and predictive factors of Sacroiliac Joint Radiofrequency Neurotomy success – A retrospective cohort study

2023· article· en· W4385657685 on OpenAlexaff
Alycia Amatto, Taylor Burnham, Masaru Teramoto, Robert Burnham

Bibliographic record

VenueInterventional Pain Medicine · 2023
Typearticle
Languageen
FieldMedicine
TopicSpine and Intervertebral Disc Pathology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineMinimal clinically important differenceLogistic regressionSacroiliac jointOdds ratioSurgeryPhysical therapyInternal medicineRandomized controlled trial

Abstract

fetched live from OpenAlex

The Sacroiliac Joint (SIJ) accounts for 10–27% of lower back pain. Radiofrequency neurotomy (RFN) is commonly utilized for refractory pain. Outcomes are variable and may be related to patient selection and procedural technique differences. To assess the effectiveness and outcome success predictors of SIJ RFN at three months. Design/Methods: Data of patients undergoing SIJ RFN were extracted from the electronic medical record of one physiatrist's interventional pain practice between 2016 and 2021. The extracted data included the following outcome variables: ≥2 decrease in Numerical Rating Scale (NRS) [minimal clinically important difference MCID-2], ≥50% NRS reduction, and ≥17 points decrease in the Pain Disability and Quality of Life Questionnaire – Spine (PDQQ-S) [MCID]. Predictor variables included block type [>79% LBB/LBB, >79% IA/LBB, 50–79% LBB/LBB, 50–79% IA/LBB, >79% LBB, and 50–79% LBB] and cannula type/configuration [16 g/longitudinal, Trident bipolar/perpendicular, and 18 g quadripolar/perpendicular]. Data analysis included descriptive statistics and logistic regression with an odds ratio (OR). Covariates included in the logistic regression models were age, gender, and laterality (right, left, and bilateral). Of the 128 patients analyzed for this study (20.8% males; 60.4 ± 14.4 years of age), 66.9% achieved MCID-2 in NRS, 53.9% experienced ≥50% NRS reduction, and 50% experienced ≥17 points decrease in PDQQ-S. Achieving MCID-2 in NRS for the 18 g quadripolar/perpendicular technique was approximately four times higher than the odds for 16 g/longitudinal technique (OR = 3.91; 95% CI = 1.34–11.43; p = 0.013). Block type was not significantly associated with any outcome variable after adjusting for cannula type and other covariates (p > 0.05). Younger age was significantly associated with achieving MCID-2 in NRS, ≥50% NRS reduction, and ≥17 points decrease in PDQQ (p = 0.034, 0.020, and 0.002, respectively). SIJ RFN effectively reduces pain and improves function in most patients at three months. Quadripolar/perpendicular technique and younger age predict SIJ RFN treatment success, whereas block type does not.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.009
Threshold uncertainty score0.563

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.323
Teacher spread0.299 · 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

Labeled directly by 2 models reading the full record.

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

Citations3
Published2023
Admission routes1
Has abstractyes

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