Health‐related quality of life in nonsplenectomized immune thrombocytopenia patients receiving romiplostim or medical standard of care
Bibliographic record
Abstract
Immune thrombocytopenia (ITP) is an autoimmune disorder characterized by platelet destruction and insufficient platelet production. The resulting thrombocytopenia reduces patient health-related quality of life (HRQOL). In a randomized, open-label, 52-week study of non-splenectomized ITP patients treated with romiplostim or medical standard of care (SOC), patients completed the 10-scale ITP-patient assessment questionnaire (PAQ) at the start of the study and after 12, 24, 36, 48,and 52 weeks of treatment. HRQOL changes were examined for all patients in both treatment groups and by responder status, splenectomy status, and after the use of rituximab. Patients in both groups showed marked increases in all HRQOL scales over 52 weeks of treatment.These change scores exceeded the minimally important difference values (a measure of clinical relevance) for most of these scales,especially in responders to treatment. Compared with baseline,patients receiving romiplostim showed statistically significant improvements compared to SOC over 52 weeks for the ITP-PAQ scales of Symptoms, Bother, Activity, Psychological Health, Fear, Overall QOL,and Social QOL. Overall, treatment of ITP was associated with improvement in HRQOL. Patients receiving romiplostim had greater HRQOL improvements than those receiving SOC, but the magnitude ofthe difference is of uncertain clinical benefit.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".