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Record W4317868489 · doi:10.2217/pmt-2022-0091

Long-term Safety of Spinal Cord Stimulation Systems in A Prospective, Global Registry of Patients With Chronic Pain

2023· article· en· W4317868489 on OpenAlexaff
Richard Rauck, Eric Loudermilk, Simon Thomson, J. Paz, Louis Bojrab, John Noles, Jan Vesper, Joseph Atallah, Daniel Roth, Joseph Hegarty, Michel Prudhomme, Gregory M Phillips, Stephen G. Smith, Mohab Ibrahim, Channing D Willoughby, Jon B. Obray, Mayank Gupta, Julio Paez, Anthony Berg, Nathan J. Harrison, Paolo Maino, Praveen Mambalam, Matthew McCarty, Glyn Towlerton, Sarah Love‐Jones, Shakil Ahmed, Albert Lee, Binit Shah, Itay Goor‐Aryeh, Marc Russo, Nicolás Díaz Varela, Jeffrey B Phelps, J. Cid, Tacson Fernandez, Concepción Pérez, Douglas Keehn, Joshua M. Rosenow, Nameer Haider, Andrew G. Parrent, Melinda M. Lawrence, Peter Georgius, Laura Demartini, Agustin Mendiola, Vivek Mehta, R. Thoma, Atef F. Israel, Giuliano De Carolis, Sanjay Bhatia, Matthew Green, Armando Villarreal, Matthew T Crooks, Ryder P. Gwinn, Julie G. Pilitsis, Hitoaki Sato, Sergio Maldonado Vega, M. Gabriel Hillegass, Paul Carnes, Christian Scherer, Silviu Brill, James Yu, James Brennan, Kliment Gatzinsky, Annu Navani, Lee T Snook, Borja Mugabure Bujedo, Javier De Andrés Ares, Abel Murillo, Andrew Trobridge, Kamyar Assil, Jawad Ali Shah, Carroll McLeod, Joseph Buwembo, Olivier De Coster, Nathan Miller, Mehendra Sanapati, Medhat Mikhael, Rene Przkora, Norihiko Sukenaga, Louis J. Raso, Aaron Calodney, Luz Elena Cáceres Jerez, Takuya Uchiyama, Jan Willem Kallewaard, Brett Chandler, Fabián Piedimonte, Kenneth D. Candido, Tristan Weaver, Takashi Agari, David Holthouse, Rex Woon, Nileshkumar Patel, Kristen Lechleiter, Roshini Jain

Bibliographic record

VenuePain Management · 2023
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsUniversity of SaskatchewanLondon Health Sciences CentreWestern UniversityUniversité Laval
FundersBoston Scientific Corporation
KeywordsMedicineChronic painSpinal cord stimulationTerm (time)Physical medicine and rehabilitationStimulationProspective cohort studySpinal cordPhysical therapyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

Aim: The availability of long-term (>2 years) safety outcomes of spinal cord stimulation (SCS) remains limited. We evaluated safety in a global SCS registry for chronic pain. Methods: Participants were prospectively enrolled globally at 79 implanting centers and followed out to 3 years after device implantation. Results: Of 1881 participants enrolled, 1289 received a permanent SCS implant (1776 completed trial). The annualized rate of device explant was 3.5% (all causes), and 1.1% due to inadequate pain relief. Total incidence of device explantation >3 years was 7.6% (n = 98). Of these, 32 subjects (2.5%) indicated inadequate pain relief as cause for removal. Implant site infection (11 events) was the most common device-related serious adverse event (<1%). Conclusion: This prospective, global, real-world study demonstrates a high-level of safety for SCS with low rate of explant/serious adverse events. Clinical Trial Registration: NCT01719055 (ClinicalTrials.gov)

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)0.004
metaresearch head score (Gemma)0.007
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 score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.012
GPT teacher head0.273
Teacher spread0.260 · 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".

Quick stats

Citations27
Published2023
Admission routes1
Has abstractyes

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