Low dose secondary prophylaxis reduces joint bleeding in severe and moderate haemophilic children: a pilot study in China
Bibliographic record
Abstract
The most common bleeding in haemophilic patients is in joints, and joint disability is the most common complications in these patients receiving inadequate treatment. Limited by economy and inadequate treatment, developing countries face huge challenge to reduce disability and improve quality of life (QoL) of haemophilic children. The aim of this study was to investigate the effect of low dose secondary prophylaxis in China. Children with moderate and severe haemophilia from the Beijing Children Hospital, Beijing, China, and with established joint disease, were followed for a 12-week observation period followed by a 12-week low dose secondary prophylaxis-study period (for haemophilia A, factor VIII concentrate 10 IU kg(-1) twice weekly; for haemophilia B, factor IX concentrate 20 IU kg(-1) weekly). The reduction of joint bleeding, improvement of joint function and QoL during prophylaxis were analysed. In total 34 children (median age 7.8 years) were analyzable. The number of joint bleeds decreased from a total of 337 (individual range 3-24, mean 9.9) during the observation period to 57 (range 0-6, mean 1.7) during the study period with an overall of reduction 83%. Joint function improved in 66.7% of disease joints, with 23.2% of which were considered good to moderate. School attendance improved in all subjects, sports participation and daily activity improved moderately. Low dose secondary prophylaxis significantly reduces frequency of joint bleeding; with moderate improvement in joint function, school attendance, sport participation and daily activities. Low dose secondary prophylaxis is therefore, cost-effective as applied to developing countries such as China, although there are still unresolved issues.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".