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Record W4283581838 · doi:10.1192/bja.2022.32

Eye movement desensitisation and reprocessing: part 1 – theory, procedure and use in PTSD

2022· article· en· W4283581838 on OpenAlexaff
Itoro Udo, Tori-Rose Javinsky, Tuoyo Awani

Bibliographic record

VenueBJPsych Advances · 2022
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsVictoria HospitalWestern University
Fundersnot available
KeywordsEye movement desensitization and reprocessingPsychotherapistPsychologyTraumatic memoriesPosttraumatic stressEye movementPsychological traumaTraumatic stressClinical psychologyCognitive psychologyNeuroscience

Abstract

fetched live from OpenAlex

SUMMARY Eye movement desensitisation and reprocessing (EMDR) is an established psychotherapy developed in the late 1980s to treat post-traumatic stress disorder (PTSD). It involves the use of repetitive eye movements or other bilateral stimulation to aid in the reprocessing of traumatic memories. It is unique in that it does not require extended exposure to or discussion of distressing memories and may result in symptom resolution in fewer sessions than other psychotherapies. In the decades since its initial development, a wealth of high-quality evidence has suggested that EMDR is a safe and effective treatment for trauma- and stress-based conditions, resulting in its inclusion in various treatment guidelines. This article reviews the theory behind how EMDR works, how it is conducted, the evidence supporting its use in the treatment of PTSD and its approved indications and contraindications.

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)0.009
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.007
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.059
GPT teacher head0.385
Teacher spread0.326 · 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 designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations8
Published2022
Admission routes1
Has abstractyes

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