Patterns and influences in health‐related quality of life in children with immune thrombocytopenia: A study from the Dallas ITP Cohort
Bibliographic record
Abstract
BACKGROUND: Relationships between clinical/demographic factors and health-related quality of life (HRQoL) in childhood immune thrombocytopenia (ITP) remain poorly understood. Recent studies reveal conflicting information about factors that contribute to HRQoL. METHODS: This was a prospective, single-institution, cohort study of newly diagnosed children with ITP. Serial evaluations of HRQoL were performed using the Kid's ITP Tools (KIT), scored from 0 (worst) to 100 (best), at enrollment and 1 week, 6 months, and 12 months following diagnosis. All visits included bleeding severity grading. Relationships between HRQoL and platelet count, treatment, bleeding severity, and course of disease were examined. RESULTS: A total of 99 children with newly diagnosed ITP were evaluable for analysis. KIT scores were low at diagnosis for parents (median 26, range 15-43) and children (median 65, range 55-81) and were not influenced by age or platelet count. At diagnosis, children who received treatment had lower platelet counts (P = 0.005), more severe hemorrhage (P < 0.0125), and lower HRQoL by parent, child, and proxy reporting (P < 0.05). Oral bleeding negatively impacted proxy-reported disease burden at diagnosis (P = 0.01). Persistence of disease and lower platelet counts at 6 and 12 month visits were the only factors noted to consistently impact quality of life beyond diagnosis for both parents and children. CONCLUSIONS: HRQoL is low at diagnosis but significantly improves over time. Patients with ongoing disease and lower platelet counts continue to have significant disease burden.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".