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Record W2528292128 · doi:10.1002/ejp.944

Preferred frequencies and waveforms for spinal cord stimulation in patients with complex regional pain syndrome: A multicentre, double‐blind, randomized and placebo‐controlled crossover trial

2016· article· en· W2528292128 on OpenAlexaboutno aff
Nadia Kriek, George Groeneweg, Dirk L. Stronks, Dirk De Ridder, Frank Huygen

Bibliographic record

VenueEuropean Journal of Pain · 2016
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsnot available
FundersSt. Jude Medical
KeywordsCrossover studyPlaceboMedicineRandomized controlled trialAnesthesiaVisual analogue scaleStimulationPhysical therapyNeuromodulationClinical trialSurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Conventional tonic spinal cord stimulation (SCS) is an effective treatment for patients with therapy-resistant complex regional pain syndrome (CRPS). Although the therapeutic effect of SCS can diminish over time due to tolerance, pain control can be regained by changing the pulse width and the amplitude and/or by increasing the stimulation frequency. This multicentre, double-blind, randomized and placebo-controlled crossover trial was conducted to investigate whether more effective pain reduction is achieved with different frequencies (trial registration, current controlled trials, ISRCTN 36655259). METHODS: The investigated settings are as follows: standard 40, 500, 1200 Hz, burst and placebo stimulation. All five were programmed in random order during the 10-week crossover period (2 weeks/setting). The primary outcome parameters were scores on the visual analogue scale (VAS), McGill Pain Questionnaire (MPQ) and the Global Perceived Effect (GPE); at the end of the crossover period, patients decided which SCS setting they preferred. A linear mixed models analysis was performed in 29 patients who completed the crossover trial. RESULTS: Significant pain reduction and GPE satisfaction was achieved with four SCS settings compared with placebo stimulation, and these four settings did not differ significantly from each other. Standard stimulation was preferred by 48% of the patients, while 52% preferred non-standard stimulation. Other than pain reduction, factors such as user-friendliness, comfort and recharging time may have influenced the patient's final decision for the preferred stimulation setting. CONCLUSIONS: Apparently, for various reasons, patients have a preference for different SCS setting. Therefore, future neuromodulation should aim to implement customized individual patient care by incorporating all stimulation options in one device. SIGNIFICANCE: This study demonstrates that standard frequency SCS is an effective therapy for patients with CRPS. However, it also demonstrates that patients can often gain better pain reduction with non-standard frequencies of SCS. Furthermore, it shows that the preferred stimulation setting is not solely driven by the amount of pain reduction, but is also influenced by which stimulation setting feels most comfortable and provides the best user-friendliness. Therefore, we strive to maximize the therapeutic effects of SCS in as many patients as possible. This can be achieved with customized individual patient care by incorporating the various frequencies and waveforms into one single device.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.052
GPT teacher head0.291
Teacher spread0.239 · 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 designRandomized trial
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

Citations130
Published2016
Admission routes1
Has abstractyes

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