Fearful Appraisals and Behavioral Responses of a Patient with an Implantable Cardioverter Defibrillator
Bibliographic record
Abstract
The implantable cardioverter defibrillator (ICD) is an effective treatment device for potentially malignant arrhythmias, including those leading to sudden cardiac death. However, some patients develop a variety of adjustment problems to the ICD. Clinical behavioral scientists have conceptualized ICD adjustment problems using principles of classical conditioning (i.e., cardiophobia), the learned helplessness paradigm of depression, and cognitive-behavioral models of panic. This case study likens ICD adjustment problems to a cognitive-behavioral model of panic and chest pain illustrating the limits of thesemodels in terms of howType I/Type II threat appraisal by the patient serves as a significant barrier to full symptomresolution. This case study supports the need formodifications in suchmodels and related interventions as they relate to the presence of real comorbid risk factors.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".