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Record W1978347079 · doi:10.1016/j.pmrj.2013.05.004

Evaluation of an Interdisciplinary Program for Chronic Pain After Spinal Cord Injury

2013· article· en· W1978347079 on OpenAlexafffund
Anthony S. Burns, Jude J. Delparte, Elena C. Ballantyne, Kathryn Boschen

Bibliographic record

VenuePM&R · 2013
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsToronto Rehabilitation InstituteUniversity of TorontoUniversity Health NetworkPraxis Spinal Cord Institute
FundersRick Hansen Institute
KeywordsMedicineSpinal cord injuryPhysical therapyChronic painSpinal cordAnesthesiaPhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess efficacy of an interdisciplinary pain program adapted for persons with spinal cord injury (SCI) and chronic pain. DESIGN: Prospective cohort. SETTING: University-affiliated rehabilitation hospital. PARTICIPANTS: Twenty-two persons with traumatic or nontraumatic SCI and chronic pain of at least 6 months' duration. METHODS: Subjects participated in an interdisciplinary pain program consisting of biweekly group sessions for 10 consecutive weeks. Sessions incorporated patient education on chronic pain and associated pain mechanisms, cognitive behavioral therapy, self-management strategies (eg, energy conservation, ergonomics, goal setting, stress management, anger management, and coping skills), group discussions and activities, and either exercise or guided relaxation at the end of each session. MAIN OUTCOME MEASURES: Multidimensional Pain Inventory SCI, Coping Inventory of Stressful Situations, Pain Stages of Change Questionnaire, and Life Satisfaction Questionnaire. RESULTS: After participation in an interdisciplinary pain program, persons with SCI and chronic neuropathic pain demonstrated increased involvement in learning and maintenance of coping strategies for chronic pain. Participation also led to less pain interference in daily life and a greater sense of control over one's life. CONCLUSIONS: Participation in an interdisciplinary pain program does not reduce pain severity, but it can help persons with SCI and chronic neuropathic pain cope with pain, lessen interference of pain, and improve their sense of control.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.082
GPT teacher head0.499
Teacher spread0.417 · 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 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

Citations40
Published2013
Admission routes2
Has abstractyes

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