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Record W2599581645 · doi:10.1027/0269-8803/a000193

Effect of Comorbid Post-Traumatic Stress Disorder and Panic Disorder on Defensive Responding

2017· article· en· W2599581645 on OpenAlexaff
Andrea C. Katz, Anna Weinberg, Stephanie M. Gorka, Randy P. Auerbach, Stewart A. Shankman

Bibliographic record

VenueJournal of Psychophysiology · 2017
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsPanic disorderAnxiety sensitivityPsychologyAnxietyDistressClinical psychologyContext (archaeology)PanicPsychiatryComorbidityAnxiety disorderTraumatic stressStartle responsePosttraumatic stressNeuroscience

Abstract

fetched live from OpenAlex

Abstract. Although panic disorder (PD) and post-traumatic stress disorder (PTSD) are characterized by heightened sensitivity to threat, no study to date has examined the effect of comorbid PD and PTSD on defensive responding. The present study probed startle eyeblink response to an acoustic probe in three groups of participants recruited from the community: (1) healthy individuals (n = 63), (2) individuals with PD without PTSD (n = 62), and (3) individuals with comorbid PD and PTSD (n = 24). Results indicated that PD individuals without PTSD exhibited greater sensitivity to threat relative to controls, and comorbid individuals displayed attenuated sensitivity to threat relative to PD individuals without PTSD (both ps < .05). The results are discussed in the context of the anxiety disorder spectrum, which postulates that anxiety disorders exist on a continuum spanning from specific/simple fear to broad distress, with defensive responding decreasing as distress increases.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.406
Teacher spread0.375 · 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.

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

Citations6
Published2017
Admission routes1
Has abstractyes

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