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Record W4396585164 · doi:10.1080/13548506.2024.2348820

Health-related quality of life among paediatric patients with coarctation of the aorta: an observational study

2024· article· en· W4396585164 on OpenAlexfundno aff
Francesco Milo, Giulio Calcagni, Stella Maiolo, Fabrizio Drago, Stefano Vicari, Teresa Grimaldi Capitello, Deny Menghini, Ângela Garcia Rossi

Bibliographic record

VenuePsychology Health & Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsnot available
FundersMinistry of Health, British Columbia
KeywordsMedicineObservational studyQuality of life (healthcare)PediatricsCoarctation of the aortaDiseaseHealth related quality of lifePhysical therapyInternal medicineAorta

Abstract

fetched live from OpenAlex

Advancements in early diagnosis and paediatric cardiac surgery have improved the long-term survival of patients with congenital heart disease, necessitating a thorough assessment of their health-related quality of life (HRQoL). This study aimed to assess HRQoL in paediatric patients with coarctation of the aorta (CoA) (both as reported by patients and caregivers), and to evaluate associated factors. Patients aged 5–18 years diagnosed with CoA and their parents were enrolled at Bambino Gesù Children’s Hospital between September 2016 and December 2017. Socio-demographic characteristics were recorded using a family form, and the Pediatric Quality of Life Inventory (PedsQL) 3.0 cardiac module was used to evaluate HRQoL. Clinical data were retrieved from medical chart reviews. In this observational study, sixty-five pediatric patients (39 males, median [IQR] age 12 [9–14]) with CoA and their parents (65 mothers and 65 fathers) were enrolled. These patients exhibited overall good HRQoL. Mothers reported significantly lower total HRQoL scores compared to patient self-reports (p = .037), as well as treatment anxiety (p = .033), and cognitive problems (p = .021). Pediatric patients with CoA perceived their HRQoL better than their mothers did. Female sex and older age were associated with lower HRQoL scores.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.146
GPT teacher head0.462
Teacher spread0.316 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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