Evidence map›Paper›PMID 37497371›Full record

ArticleJournal of pain research2023

Real World Clinical Utility of Neurophysiological Measurement Utilizing Closed-Loop Spinal Cord Stimulation in a Chronic Pain Population: The ECAP Study Protocol.

Angela Leitner, Erin Hanson, Nicole Soliday, Peter Staats, Robert Levy, Jason Pope, Jan W Kallewaard, Daniel Doleys, Sean Li, Jacqueline Weisbein and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Review
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

12 authors at 6 institutions in 3 countries.

Angela LeitnerSaluda Medical Pty Ltd, Artarmon, New South Wales, Australia.ORCID 0000-0002-5037-1825
Erin HansonSaluda Medical Pty Ltd, Artarmon, New South Wales, Australia.
Nicole SolidaySaluda Medical Pty Ltd, Artarmon, New South Wales, Australia.
Peter StaatsNational Spine and Pain Centers, Shrewsbury, NJ, USA.
Robert LevyDepartments of Neurosurgery and Clinical Research, Anesthesia Pain Care Consultants, Tamarac, FL, USA.
Jason PopeEvolve Restorative Center, Santa Rosa, CA, USA.
Jan W KallewaardDepartment of Anaesthesiology and Pain Management, Rijnstate Hospital, Arnhem, the Netherlands.
Daniel DoleysPain and Rehabilitation Institute, Birmingham, AL, USA.
Sean LiNational Spine and Pain Centers, Shrewsbury, NJ, USA.ORCID 0000-0002-0492-1179
Jacqueline WeisbeinNapa Valley Orthopaedic Medical Group, Napa, CA, USA.ORCID 0000-0002-4112-761X
Kasra AmirdelfanBoomerang Healthcare, Walnut Creek, CA, USA.
Lawrence PoreeDepartment of Anesthesia and Perioperative Care, University of California at San Francisco, San Francisco, CA, USA.ORCID 0000-0001-9937-2864
Saluda Medical (Australia) · AUInternational Spine, Pain & Performance · USEvolve Restorative Center · USNapa Valley College · USRijnstate Hospital · NLUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Spinal cord stimulation (SCS) is an established chronic pain treatment, but the effectiveness of traditional, open-loop paradigms has been plagued by variable sustainability in a real-world setting. A new approach, utilizing evoked compound action potential (ECAP) controlled closed-loop (CL) SCS, continuously monitors spinal cord activation and automatically adjusts the stimulation amplitude of every pulse, maintaining stimulation at the prescribed ECAP level through this continual feedback mechanism. Recent studies demonstrated the long-term safety and efficacy of ECAP-controlled CL-SCS. Here, we report the design of a prospective, multicenter, single-arm feasibility study to characterize clinical outcomes in a real-world chronic pain population utilizing ECAP-controlled CL-SCS. Objective neurophysiological measurements such as device performance and patient therapy compliance, will be analyzed against baseline biopsychosocial assessments, to explore the clinical utility of these objective physiologic biomarkers in patient phenotyping. Methods: This study will enroll up to 300 subjects with chronic, intractable trunk and/or limb pain in up to 25 United States investigation sites. Subjects meeting eligibility criteria will undergo a trial procedure and a permanent implant following a successful trial. Neurophysiological measurements (measured in-clinic and continuously during home use) and clinical outcomes including pain, quality-of-life, psychological, emotional, and functional assessments will be collected at baseline, trial end, and up to 24-months post-implantation. Discussion: Associations between objective neurophysiological data, clinical evaluation and patient-reported outcomes may have important clinical and scientific implications. They may provide novel insights about the chronic pain pathophysiology, its modulation during CL-SCS, and identification of pain phenotypes and/or mechanisms associated with treatment response during SCS trials and long-term therapy. Data from the ECAP study could lead to improvements in diagnosis, assessment, patient identification and management of chronic pain. It could also provide the foundation for development of a new SCS treatment approach customized by the patient's pain phenotype, unique neurophysiology, and disease severity.

Indexed as

chronic painclosed-loopevoked compound action potentialsspinal cord stimulation

Identifiers

PMID37497371
PMCPMC10368120
OpenAlexW4385076925

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.