Paediatric supraventricular tachycardia patients potentially more at risk of developing psychological difficulties compared to healthy peers
Bibliographic record
Abstract
AIM: Assess executive and socio-emotional/behavioural functioning in paediatric supraventricular tachycardia (SVT) patients. METHODS: SVT patients aged 7-17 who had not undergone catheter ablation were included. Parents completed the Child Behaviour Checklist (CBCL/6-18) and the Behavior Rating Inventory of Executive Functioning (BRIEF). Participants age 11-17 years completed the Youth Self-Report (YSR/11-18) and the BRIEF Self-Report (BRIEF-SR). One-sample z test was used to compare questionnaire results to the average t-score range (M = 50, SD = 10). RESULTS: Thirty (18 female) children/adolescents participated (M = 12.6 years old, SD = 3.2 years) with a mean SVT onset age of 7 years (SD = 4.3 years). BRIEF and BRIEF-SR results suggested no difference in executive functioning from average. Mean t-scores of CBCL/6-18 and YSR/11-18 subscales Anxious/Depressed, Withdrawn/Depressed, Somatic Complaints, Thought Problems, Diagnostic and Statistical Manual of Mental Disorders (DSM) Affective Problems, DSM Anxiety Problems and DSM Somatic Problems were significantly elevated compared to average. YSR/11-18 subscales Social Problems, Attention Problems, Internalizing Problems, DSM ADHD Problems and DSM Oppositional Defiant Problems had elevated mean t-scores compared to average. Effect sizes were small to medium (0.2 ≤ d ≤ 0.8). CONCLUSION: Paediatric patients with SVT potentially have a greater risk of developing behaviour, especially internalizing, problems compared to similarly aged children/adolescents without SVT.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".