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Record W4407964923 · doi:10.5737/23688076351103

Sensory re-education pilot program following chemotherapy-induced peripheral neuropathy in cancer patients

2025· article· en· W4407964923 on OpenAlexvenueaboutno aff
Johanne Hébert, Anne-Sophie Bergeron, Christine Claveau

Bibliographic record

VenueCanadian Oncology Nursing Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsnot available
Fundersnot available
KeywordsChemotherapy-induced peripheral neuropathyPeripheral neuropathySensory neuropathyMedicineCancerSensory systemChemotherapyOncologyPeripheralInternal medicinePhysical therapyPhysical medicine and rehabilitationPsychologyNeuroscienceEndocrinology

Abstract

fetched live from OpenAlex

A pilot program for sensory re-education following chemotherapy-induced peripheral neuropathy (CIPN) has been developed by an occupational therapist working in a cancer treatment centre in Quebec. Inspired by the somatosensory pain rehabilitation (SPR) method developed by Spicher (2003) for nerve injuries, this is an innovative program in oncology for patients with neuropathy-related pain or discomfort in their hands or feet. The program includes a sensory re-education component and a physical exercise component. It aims to reduce the symptoms of neuropathy and improve functional capacity and quality of life. The results are promising in patients who enrol in the program shortly after the onset of symptoms of CIPN, who actively commit to the program and who are diligent in adhering to the recommendations. Additional studies will be necessary, however, to demonstrate further and validate the benefits of a program of this nature for CIPN patients.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.035
GPT teacher head0.410
Teacher spread0.376 · 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 designNon-randomized 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

Citations0
Published2025
Admission routes2
Has abstractyes

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Same venueCanadian Oncology Nursing JournalSame topicCancer Treatment and PharmacologyFrench-language works237,207