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Record W1976525772 · doi:10.1521/bumc.2006.70.1.1

Differential diagnosis between borderline personality disorder and organic personality disorder following traumatic brain injury

2006· review· en· W1976525772 on OpenAlexaff
Jean Gagnon, Marc‐André Bouchard, Constant Rainville

Bibliographic record

VenueBulletin of the Menninger Clinic · 2006
Typereview
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsInstitut Universitaire de Gériatrie de MontréalUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsBorderline personality disorderPersonalityPsychologyDifferential diagnosisPersonality disordersSadistic personality disorderTraumatic brain injuryClinical psychologyMedical diagnosisPsychiatryMedicinePsychoanalysisPathology

Abstract

fetched live from OpenAlex

Organic personality disorder (OPD) is the traditional diagnostic category used to account for personality disturbances after traumatic brain injury (TBI). The recent use of Axis-II personality disorders, notably borderline personality disorder (BPD), has appeared in the TBI literature as an alternative to OPD. This would presumably offer a better description and understanding of the multiple clinical manifestations of these personality changes and disorders. This article offers a view that it is possible and fruitful to use both diagnoses in a complementary manner. An accurate recognition of the respective phenomenologies of both BPD and OPD is a key factor in achieving a differential diagnosis, including, if required, a dual diagnosis. The phenomenology of both conditions in reference to DSM-IV criteria is compared and illustrated through two clinical vignettes.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.827
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.000

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 head0.066
GPT teacher head0.388
Teacher spread0.322 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations15
Published2006
Admission routes1
Has abstractyes

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