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Record W2569176370 · doi:10.1177/1359105316683785

A closer look at the relationships between panic attacks, emergency department visits and non-cardiac chest pain

2017· article· en· W2569176370 on OpenAlexafffund
Guillaume Foldes‐Busque, Isabelle Denis, Julien Poitras, Richard Fleet, Patrick Archambault, Clermont E. Dionne

Bibliographic record

VenueJournal of Health Psychology · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsCentre hospitalier universitaire de QuébecUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsEmergency departmentChest painPanicMedical emergencyMedicinePsychologyPsychiatryEmergency medicineAnxietyCardiology

Abstract

fetched live from OpenAlex

This study examined the prevalence of emergency department visits prompted by panic attacks in patients with non-cardiac chest pain. A validated structured telephone interview was used to assess panic attacks and their association with the emergency department consultation in 1327 emergency department patients with non-cardiac chest pain. Patients reported at least one panic attack in the past 6 months in 34.5 per cent (95% confidence interval: 32.0%-37.1%) of cases, and 77.1 per cent (95% confidence interval: 73.0%-80.7%) of patients who reported panic attacks had visited the emergency department with non-cardiac chest pain following a panic attack. These results indicate that panic attacks may explain a significant proportion of emergency department visits for non-cardiac chest pain.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.111
Threshold uncertainty score0.426

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.060
GPT teacher head0.383
Teacher spread0.323 · 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

Citations23
Published2017
Admission routes2
Has abstractyes

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