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Record W2018629660 · doi:10.1080/21642850.2014.905207

Trauma-related obsessive–compulsive disorder: a review

2014· review· en· W2018629660 on OpenAlexaff
Kristy Lorraine Dykshoorn

Bibliographic record

VenueHealth Psychology and Behavioral Medicine · 2014
Typereview
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsAlberta Advanced EducationUniversity of Alberta
Fundersnot available
KeywordsObsessive compulsivePsychologyPsychiatryDepression (economics)AnxietyPopulationDistressAnxiety disorderPsychotherapistClinical psychologyMedicine

Abstract

fetched live from OpenAlex

Obsessive–compulsive disorder (OCD) is a highly researched and conceptualized disorder, and yet it remains one of the most debilitating, widespread, and expensive disorders one can be afflicted with [Real, E., Labad, J., Alonso, P., Segalas, C., Jimenez-Murcia, S., Bueno, B., … Menchon, J. M. (2011). Stressful life events at onset of obsessive–compulsive disorder are associated with a distinct clinical pattern. Depression and Anxiety, 28, 367–376. doi:10.1002/da.20792]. Exposure treatments and cognitive-behavioural therapy (CBT) have been largely accepted as best practice for those with OCD, and yet there are still many who are left with “treatment-resistant OCD” [Rowa, K., Antony, M., & Swinson, R. (2007). Exposure and response prevention. In C. Purdon, M. Antony, & L. J. Summerfeldt (Eds.), Psychological treatment of obsessive-compulsive disorder: Fundamentals and beyond (pp. 79–109). Washington, DC: American Psychological Association; Foa, E. B. (2010). Cognitive behavioural therapy of obsessive–compulsive disorder. Dialogues of Clinical Neuroscience, 12, 199–207]. Similarly, exposure treatments and CBT have been accepted as best practice for trauma-related distress (i.e. post-traumatic stress disorder; Foa, E. B., Keane, T. M., Friedman, M. J., & Cohen, J. A. (2009). Effective treatments for PTSD: Practice guidelines from the international society for traumatic studies (2nd ed.). New York, NY: The Guilford Press). From a literature review, evidence has been provided that demonstrates a high prevalence rate (30–82%) of OCD among individuals with a traumatic history in comparison to the prevalence rate of the general population (1.1–1.8%; [Cromer, K. R., Schmidt, N. B., & Murphy, D. L. (2006). An investigation of traumatic life events and obsessive–compulsive disorder. Behaviour Research and Therapy, 45, 1683–1691. doi:10.1016/j.brat.2006.08.018; Fontenelle, L. F., Cocchi, L., Harrison, B. J., Shavitt, R. G., do Rosario, M. C., Ferrao, Y. A., … Torres, A. R. (2012). Towards a post-traumatic subtype of obsessive–compulsive disorder. Journal of Anxiety Disorders, 26, 377–383. doi:10.1016/j.janxdis.2011.12.001; Gershuny, B. S., Baer, L., Parker, H., Gentes, E. L., Infield, A. L., & Jenike, M. A. (2008). Trauma and posttraumatic stress disorder in treatment-resistant obsessive–compulsive disorder. Depression and Anxiety, 25, 69–71. doi:10.1002/da.20284]). Evidence was collected for a post-traumatic OCD and treatments of trauma-related OCD were considered. OCD and traumatic histories have a significant enough overlap that trauma should be a consideration when treating an individual with OCD. Given the overlap of the client base with OCD and traumatic histories, as well as the overlap in treatment options for those who experience OCD and trauma-induced symptoms, the author will discuss the importance of assessing for traumatic history in clients with OCD as well as approaching treatment from a dual-focus orientation.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.089
GPT teacher head0.497
Teacher spread0.409 · 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 designSystematic review
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

Citations96
Published2014
Admission routes1
Has abstractyes

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