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Record W2350353807

Alexithymia in patients with panic disorder

2006· article· en· W2350353807 on OpenAlexaboutno aff
HU Ji-ze

Bibliographic record

VenueZhonghua xingwei yixue yu naokexue zazhi · 2006
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAgoraphobiaHamdPanic disorderAlexithymiaPanicPsychologyAnxietyToronto Alexithymia ScaleInternal medicinePsychiatryClinical psychologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

ObjectiveTo explore mood expression of patients with panic disorder.Methods47 patients with panic disorder and 37 normal controls were studied with Toronto Alexithymia Scale(TAS) , Hamilton depression Scale and Hamilton anxiety scale.ResultsCompared with the Ⅱ subscore of TAS (2.58±0.67) in control group, scores of panic patients with agoraphobia and of patients without agoraphobia(3.30±0.70 and 3.13± 0.75 ,respectively) increase significantly ( P 0.05). The total score of TAS of panic patients with agoraphobia(75.4±10.1) is significantly higher than that of controls(66.3±8.9)( P 0.01), while that of panic patients without agoraphobia is not. There is no significant difference in the Ⅰ,Ⅲ and Ⅳ subscores of TAS among all of patients and controls(all P 0.05).The scores of HAMA and HAMD of all panic patients are significantly higher than those of controls( P 0.001), and the differences between patients with agoraphobia and patients without agoraphobia are not significant( P 0.05). The scores of TAS and four subscores were no correlated with the scores of HAMA and HAMD and course of the disorder(all P 0.05).ConclusionPatients with panic disorder, especially for those with agoraphobia, may have deficiency in recognizing and making distinguish between emotion and body feeling, which have no correlation with course , anxiety and depressive state; while patients may have no deficiency in the ability of describing emotion, fancy-lacking and extroversion thought.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.004
GPT teacher head0.211
Teacher spread0.206 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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