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Record W2891242428 · doi:10.1521/pedi_2018_32_394

How to Assess Recovery in Borderline Personality Disorder: Psychosocial Functioning and Satisfaction With Life in a Sample of Former DBT Study Patients

2018· article· en· W2891242428 on OpenAlexaff
Marie-Luise Zeitler, Martin Bohus, Nikolaus Kleindienst, Rebekka Knies, Miriam Ostermann, Christian Schmahl, Lisa Lyssenko

Bibliographic record

VenueJournal of Personality Disorders · 2018
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsWestern University
Fundersnot available
KeywordsPsychologyGlobal Assessment of FunctioningBorderline personality disorderPsychosocialClinical psychologySocial functioningPopulationPsychiatryLife satisfactionQuality of life (healthcare)PsychotherapistSchizophrenia (object-oriented programming)Medicine

Abstract

fetched live from OpenAlex

Longitudinal studies provide substantial evidence for a high rate of symptomatic remission in borderline personality disorder (BPD), while social and vocational functioning seems to remain consistently impaired. Less data is available on recovery and the associated objective and personal indicators. We examined 58 patients 12–18 years after their diagnosis of BPD and compared two different recovery criteria: observer-based global assessment of functioning and self-rated satisfaction with life (SWL). Symptomatic remission was observed in 81% of the participants (according to DSM-IV), but only 44% of them achieved a GAF level > 60, and only 49% reported SWL within the range of one standard deviation of the normal population. In line with previous research, our data show that DSM symptom remission alone is an insufficient indicator for recovery from BPD. Replacing the GAF with patient-reported satisfaction with life considers empowerment in BPD and offers an efficient alternative criterion for recovery.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.324
Teacher spread0.294 · 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 designObservational
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

Citations38
Published2018
Admission routes1
Has abstractyes

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