MétaCan
Menu
Back to cohort
Record W2023336939 · doi:10.1097/hco.0b013e32835d7eba

Quality of life in children and young adults with cardiac conditions

2013· review· en· W2023336939 on OpenAlexaff
Meaghan Ferguson, Adrienne H. Kovacs

Bibliographic record

VenueCurrent Opinion in Cardiology · 2013
Typereview
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineQuality (philosophy)Quality of life (healthcare)PediatricsGerontologyNursing

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Unequivocal conclusions regarding the quality of life (QOL) of children, adolescents, and young adults with heart disease cannot be drawn because results vary across studies and between patient and parent-proxy reports. This review focuses on the recent studies that help us understand this variability and why subgroups of young cardiac patients do appear at increased risk of impaired QOL. RECENT FINDINGS: The age at which QOL is assessed might contribute to variability in reported QOL outcomes, with the greatest QOL impairment tending to occur with the youngest patients. Adolescents and young adults with heart disease often report positive QOL outcomes. Recent studies have furthered our understanding of the determinants of impaired QOL, including low social support, emotional instability, developmental disabilities, poorer subjective health status, and lower exercise capacity. Certain cardiac treatments, such as transplantation and implantable cardioverter defibrillator implantation, warrant special attention for potential QOL impairment. SUMMARY: Future research should move beyond cross-sectional studies and include longitudinal assessment of QOL. In addition, given the success with extending the lives of young patients with cardiac conditions, it is important that strategies focused on patient and family QOL are also advanced.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.338
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
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)0.0000.000

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 head0.082
GPT teacher head0.410
Teacher spread0.328 · 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
GenreReview

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

Citations18
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Opinion in CardiologySame topicCongenital Heart Disease StudiesFrench-language works237,207