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Record W2330418864 · doi:10.1891/1933-3196.8.2.66

EMDR as a Therapeutic Treatment for Complex Regional Pain Syndrome: A Case Report

2014· article· en· W2330418864 on OpenAlexaff
Megan Hughes

Bibliographic record

VenueJournal of EMDR Practice and Research · 2014
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEye movement desensitization and reprocessingComplex regional pain syndromeMoodMedicineAcute painPsychotherapistPhysical therapyPsychologyPsychiatryAnesthesiaPosttraumatic stress

Abstract

fetched live from OpenAlex

Complex regional pain syndrome (CRPS) is characterized by ongoing pain, swelling, and stiffness following an acute injury. CRPS is difficult to diagnose, significantly impacts functioning, and is frequently incurable. Current treatments are pharmacotherapy, surgery, and physiotherapy. This case report describes the use of eye movement desensitization and reprocessing (EMDR) in the psychotherapeutic treatment of a woman diagnosed with CRPS in 2009 as a result of injuries sustained during an assault in 2004. This article reports on EMDR treatment provided 1–2 years after her diagnosis. At initial assessment, the client was debilitated and suicidal, unable to work or care for her children, and dependent on her family for financial support because of CRPS. Two phases of 7 EMDR sessions were provided; the first focused on past traumatic experiences; the second addressed her pain with Grant’s (2009) EMDR chronic pain protocol. At the end of treatment, the client reported decreased pain, decreased substance dependence, improved mood and outlook, and was able to resume part-time work. Results were maintained at 8-month follow-up and suggest that EMDR was helpful for this client in reducing the symptoms associated with CRPS.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.002
Scholarly communication0.0020.003
Open science0.0020.002
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.265
GPT teacher head0.503
Teacher spread0.238 · 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 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

Citations10
Published2014
Admission routes1
Has abstractyes

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