Evidence map›Paper›PMID 39238578›Full record

ArticleInterventional pain medicine2024

The association of payer type on genicular radiofrequency neurotomy treatment outcomes: Results of a cross-sectional study.

Samantha Braun, Jason Mascoe, Marc Caragea, Tyler Woodworth, Tim Curtis, Michael Blatt, Cole Cheney, Todd Brown, Daniel Carson, Keith Kuo and 9 more

Abstract read
In one paragraph

Article in Interventional pain medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Samantha BraunDepartment of Physical Medicine and Rehabilitation, University of Texas San Antonio, San Antonio, TX, USA.
Jason MascoeDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Marc CarageaDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Tyler WoodworthDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Tim CurtisDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Michael BlattSchool of Medicine, University of Utah, Salt Lake City, UT, USA.
Cole CheneyMayo Clinic Health System, Mankato, MN, USA.
Todd BrownSchool of Medicine, University of Utah, Salt Lake City, UT, USA.
Daniel CarsonDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Keith KuoSchool of Medicine, University of Utah, Salt Lake City, UT, USA.
Dustin RandallSchool of Medicine, University of Utah, Salt Lake City, UT, USA.
Emily Y HuangJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Andrea CarefootDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Masaru TeramotoDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Amanda CooperDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Megan MillsDepartment of Radiology, University of Utah, Salt Lake City, UT, USA.
Taylor BurnhamDepartment of Physical Medicine and Rehabilitation, University of Utah, Salt Lake City, UT, USA.
Aaron 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Genicular radiofrequency neurotomy (GRFN) is an effective treatment for a subset of individuals with chronic knee pain. Previous studies demonstrate that Medicare and Medicaid beneficiaries report worse outcomes following various interventional procedures compared with commercially insured patients. Objective: Evaluate the association of payer type on GRFN treatment outcomes. Methods: Consecutive patients who underwent GRFN at a tertiary academic center were contacted for participation. Demographic, clinical, and procedural characteristics were collected from electronic medical records. Outcome data were collected by standardized telephone survey at 6-12 months, 12-24 months and ≥24 months. Treatment success was defined as ≥50% numerical pain rating scale (NPRS) score reduction from baseline. Data were analyzed using descriptive statistics for demographic, clinical, and procedural characteristics. Logistic and Poisson regression analyses were performed to examine the association of variables of interest and pain reduction. Results: One hundred thirty-four patients treated with GRFN (mean 65.6 ± 12.7 years of age, 59.7% female) with a mean follow-up time of 23.3 ± 11.3 months were included. Payer type composition was 48.5% commercial (n = 65), 45.5% Medicare (n = 61), 3.7% Medicaid (n = 5), 1.5% government (n = 2), and 0.8% self-pay (n = 1). Overall, 47.8% of patients (n = 64) reported ≥50% NPRS score reduction after GRFN. After adjusting for age, follow-up duration, Kellgren-Lawrence osteoarthritis grade, baseline opioid use, antidepressant/antianxiety medication use, history of knee replacement, and number of RFN lesions placed, the logistic regression model showed no statically significant association between payer type and treatment outcome (OR = 2.11; 95% CI = 0.87, 5.11; Discussion/conclusion: In this study, after adjusting for demographic, clinical, and procedural characteristics, we found no association between payer type and treatment success following GRFN. This observation contrasts findings from other interventional studies reporting an association between payer category and treatment success.

Indexed as

Genicular nerveKnee painOsteoarthritisPayer typeRadiofrequency ablation

Identifiers

PMID39238578
PMCPMC11372924

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.