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Record W4402868832 · doi:10.1080/17581869.2024.2401767

Multidevice spinal cord stimulation trials: shared decision making in the era of multiple neuromodulation paradigms

2024· article· en· W4402868832 on OpenAlexaff
Soun Sheen, John D. Markman, Michael B. Sohn, Anuj Bhatia, Ram Haddas, Paul Geha, Jennifer S. Gewandter

Bibliographic record

VenuePain Management · 2024
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsUniversity of Toronto
FundersNational Institute of Neurological Disorders and StrokeNational Institutes of Health
KeywordsNeuromodulationMedicineSpinal cord stimulationSacral nerve stimulationSpinal cordStimulationNeurosciencePhysical medicine and rehabilitationSurgeryInternal medicinePsychologyPsychiatry

Abstract

fetched live from OpenAlex

Aim: There is a lack of evidence-based standards for matching spinal cord stimulation (SCS) paradigm to individual patients. We aim to determine the feasibility and safety of a new alternative trial strategy, a sequential multidevice trial.Materials & methods: A retrospective analysis was performed on 116 patients who underwent SCS trials, single device or sequential multidevice (tonic and high-frequency), for chronic low back pain to assess feasibility and compare trial-to-implantation rate and explantation rate.Results: Multidevice SCS trials are feasible and safe. There was no statistically significant difference in the trial-to-implantation and explantation rates between the two groups.Conclusion: Multidevice SCS trial, prioritizing patient preference, may serve as an alternative trial strategy to improve long-term success of SCS.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.955
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.084
GPT teacher head0.378
Teacher spread0.293 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations4
Published2024
Admission routes1
Has abstractyes

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