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Record W2485425172 · doi:10.1097/yic.0000000000000143

Psychological dependence on antidepressants in patients with panic disorder

2016· article· en· W2485425172 on OpenAlexaff
Kazuhito Fujii, Takefumi Suzuki, Masaru Mimura, Hiroyuki Uchida

Bibliographic record

VenueInternational Clinical Psychopharmacology · 2016
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsCentre for Addiction and Mental Health
FundersAstellas Pharma
KeywordsPanic disorderPanicPsychiatryPsychologyClinical psychologyInternal medicineMedicineAnxiety

Abstract

fetched live from OpenAlex

No study has investigated psychological dependence on antidepressants in patients with panic disorder, which was addressed in this study. This study was carried out in four psychiatric clinics in Tokyo, Japan. Individuals were eligible if they were outpatients aged 18 years or older and fulfilled the diagnostic criteria for panic disorder (ICD-10). Assessments included the Japanese Versions of the Severity of Dependence Scale (SDS), the Self-Report Version of Panic Disorder Severity Scale (PDSS-SR), and the Quick Inventory of Depressive Symptomatology-Self Report. Eighty-four individuals were included; of these, 30 patients (35.7%) showed psychological dependence on antidepressants (i.e. a total score of ≥5 in the SDS). A multiple regression analysis showed that PDSS scores and illness duration were correlated positively with SDS total scores. A binary regression model showed that absence of remission (i.e. a total score of ≥5 in the PDSS) and longer duration of illness increased the risk of dependence on antidepressants. Approximately one-third of the patients with panic disorder, receiving antidepressants, fulfilled the criteria for psychological dependence on these drugs. The results underscore the need for close monitoring, especially for those who present severe symptomatology or have a chronic course of the illness.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.054
GPT teacher head0.455
Teacher spread0.402 · 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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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