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Record W4403065397 · doi:10.36076/pmcr.2023.7.25

Efficacy of Dorsal Root Ganglion Stimulation for Chronic Pain in Leprosy: A Case Report

2023· article· en· W4403065397 on OpenAlexaff
Kristin Short

Bibliographic record

VenuePain Medicine Case Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicLeprosy Research and Treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLeprosyDorsal root ganglionStimulationDorsumMedicineChronic painGanglionDermatologyAnatomyPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Leprosy is a chronic infectious disease that can be associated with refractory neuropathic pain. Neuromodulation with dorsal root ganglion stimulation (DRGS) represents a novel potential therapeutic option for the nonpharmacological management of leprosy-associated chronic pain. CASE REPORT: We present a case of a leprosy-associated chronic lower extremity neuropathic pain in a 56-year-old man managed with DRGS. The patient underwent implantation of DRG electrodes at the left L5 and right S1 levels for refractory lower extremity pain. Following the procedure, reported significant reduction in pain intensity, decreased analgesic requirements, and improved functionality at short-term follow-up, with no reported postprocedure complications. CONCLUSIONS: The successful treatment of post-leprosy neuropathic pain with DRGS contributes to the expanding body of evidence supporting the use of neuromodulation in the management of treatment-refractory pain. We suggest that DRGS may be a viable interventional option for chronic neuropathic pain from leprosy and other potential indications. KEY WORDS: Dorsal root ganglion stimulation, neuromodulation, chronic pain, leprosy, case report

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)0.013
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.036
GPT teacher head0.365
Teacher spread0.329 · 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.

Study designCase report
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

Citations0
Published2023
Admission routes1
Has abstractyes

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