Evidence map›Paper›PMID 40519792›Full record

ArticleInterventional pain medicine2025

What is the optimal block selection paradigm for predicting a successful treatment outcome following sacral lateral branch radiofrequency neurotomy? A real-world cohort study.

Katharine A Smolinski, Christopher Radlicz, Hasan Sen, Amanda N Cooper, Brook Martin, Alycia Amatto, Allison Glinka Przybysz, Robert Burnham, Aaron M Conger, Zachary L McCormick and 1 more

Abstract read
In one paragraph

Article in Interventional pain medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Katharine A SmolinskiDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Christopher RadliczDivision of Physical Medicine and Rehabilitation, Washington University in Saint Louis, Saint Louis, MO, USA.
Hasan SenDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Amanda N CooperDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Brook MartinDepartment of Orthopedics, University of Utah Salt Lake City, UT, USA.
Alycia AmattoDivision of Physical Medicine and Rehabilitation, Department of Medicine, University of Alberta, Edmonton, AB, Canada.
Allison Glinka PrzybyszDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Robert BurnhamDivision of Physical Medicine and Rehabilitation, Department of Medicine, University of Alberta, Edmonton, AB, Canada.
Aaron M CongerDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Zachary L McCormickDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Taylor R BurnhamDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Outcomes following sacral lateral branch radiofrequency neurotomy (SLBRFN) likely depend on patient selection criteria; however, commonly used criteria vary considerably. Refinement of selection criteria for SLBRFN may improve treatment outcomes. This study investigated common prognostic block-based selection criteria and treatment success following SLBRFN. Methods: In this retrospective cohort study, consecutive patients from two Canadian musculoskeletal pain management clinics who underwent SLBRFN over a 6-year period (2016-2022) were identified by electronic medical record. Patients were categorized according to several prognostic block paradigms based on number of blocks (single vs. dual), block type (lateral branch block [LBB] vs. intra-articular block [IAB]), and subsequent percentage of pain relief. Six block criteria were established: 1 = LBB/LBB≥80 %; 2 = IAB/LBB≥80 %; 3 = LBB/LBB 50-79 %; 4 = IAB/LBB 50-79 %; 5 = LBB≥80 %; 6 = LBB 50-79 %. Treatment success was assessed at three months post-SLBRFN using two criteria: (1) the primary study outcome of ≥50 % numerical rating scale (NRS) pain reduction and (2) a secondary outcome of Pain Disability Quality-of-Life Questionnaire (PDQQ) score improvement by the minimal clinically important difference (MCID). Logistic regression analyses evaluated the association between block criteria and treatment success following SLBRFN. Results: 281 consecutive patients (75.1 % female, 61.8 ± 14.2 years of age, BMI 29.4 ± 6.6 kg/m Conclusion: Nearly 50 % of patients who underwent SLBRFN reported clinically significant improvement in pain and disability at three months post-procedure, regardless of prognostic block selection criteria. These results suggest that multiple block strategies may determine eligibility for SLBRFN.

Indexed as

Radiofrequency ablationRadiofrequency neurotomySacral lateral branchSacroiliac joint pain

Identifiers

PMID40519792
PMCPMC12167009

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