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Record W4409196056 · doi:10.1016/j.hroo.2025.03.021

ICD support groups: Are they still relevant now?

2025· article· en· W4409196056 on OpenAlexaffabout
Samuel F. Sears, Samantha McCrary, Tiffany Andrade, Lauren A. Rousseau, Ann Kirkness, Allana Fantin, Julie B. Shea

Bibliographic record

VenueHeart Rhythm O2 · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsAlberta Health Services
FundersMedtronic
KeywordsPsychology

Abstract

fetched live from OpenAlex

While implantable cardioverter-defibrillators (ICDs) save lives in patients at risk for potentially life-threatening arrhythmias, ICD shocks may prompt fear and anxiety and cause potential psychological trauma in patients. Since the beginning of the ICD's broad use, healthcare professionals recognized the unique demands and experiences associated with this therapy. Some clinics responded by initiating patient-focused meetings broadly referred to as "ICD support groups" to address the mental health challenges in these patients. Decades of research have now underscored the importance of ICD patients' psychological and behavioral processes and their associations with adverse health outcomes. ICD patients frequently report disease-specific mental health symptoms, including ICD shock anxiety, poor device acceptance, body image concerns, and decreased physical activity, that require unique clinical expertise from professionals to effectively manage. The original impetus for ICD support groups persists, but relatively few ICD support groups remain active. Online offerings may have taken on some of these functions. We suggest that ICD support groups remain a strategic intervention to address patient psychological and lifestyle concerns. This paper reviews the value of ICD support groups in the United States, Australia, and Canada and analyzes the current state and potential value of ICD support groups.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.637
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.004

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 head0.008
GPT teacher head0.242
Teacher spread0.233 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations3
Published2025
Admission routes2
Has abstractyes

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