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Record W4416452509 · doi:10.1080/17581869.2025.2591591

Transcutaneous electrical nerve stimulation for upper limb neuropathic pain in Guillain-Barré syndrome: a case report

2025· article· en· W4416452509 on OpenAlexaboutno aff
Ruoxi Cao, Charlene Chin Synn Zhi, Tan Pei Ling

Bibliographic record

VenuePain Management · 2025
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsNeuropathic painTranscutaneous electrical nerve stimulationAdverse effectRefractory (planetary science)ComplicationHyperalgesiaIntractable painDistress

Abstract

fetched live from OpenAlex

Neuropathic pain is a common but often under-recognized and undertreated complication of Guillain-Barré syndrome (GBS), with the potential to significantly hinder rehabilitation. We describe the case of a young man with GBS who developed severe upper limb pain, allodynia, and hyperalgesia that were refractory to intravenous immunoglobulin and pharmacologic treatment. The pain caused significant distress and limited therapy participation. A structured trial of transcutaneous electrical nerve stimulation (TENS) was introduced as part of a multimodal rehabilitation program, alongside pharmacological analgesia and routine physical therapy - initially administered during a six-week inpatient stay, then independently at home for another six weeks. High-frequency TENS was applied over the contralateral left paraspinal region at C6-T1, targeting the right upper limb. By weeks two and six, the patient demonstrated clinically meaningful pain relief (revised Short-form McGill Pain Questionnaire), decreased reliance on analgesics, and improved functional independence (motor Functional Independence Measure). Further gains were observed at 12-week follow-up. TENS was well tolerated with no reported adverse effects. This case highlights the potential role of TENS as a safe, noninvasive adjunct for managing GBS-related neuropathic pain and supporting functional recovery. It may also promote long-term self-management beyond the inpatient setting.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.780
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.012
GPT teacher head0.273
Teacher spread0.261 · 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 designSimulation or modeling
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
Published2025
Admission routes1
Has abstractyes

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