Bleeding assessment in haemophilia carriers—High rates of bleeding after surgical abortion and intrauterine device placement: A multicentre study in China
Bibliographic record
Abstract
INTRODUCTION: An increased bleeding tendency has been shown in female haemophilia carriers compared to healthy females. Bleeding assessment tools (BATs) have mainly been performed in western cultures. It is unclear how they perform in populations with different healthcare, health/wellness concepts and awareness, as well as family planning practices. AIM: To (a) describe and compare the bleeding symptoms in carriers with healthy females, particularly for bleeding after surgical abortion and intrauterine device (IUD) placement which are performed frequently for family planning in China; (b) quantify scores of International Society on Thrombosis and Haemostasis Bleeding Assessment Tool (ISTH-BAT) and Chinese-BAT (C-BAT) developed to include surgical abortion and IUD placement as separate categories in Chinese haemophilia carriers; (c) correlate bleeding scores (BS) with factor levels. METHODS: We conducted a multicentre, cross-sectional study on obligate haemophilia carriers and healthy controls using ISTH-BAT and C-BAT. RESULTS: We enrolled 125 haemophilia carriers and 106 controls. Carriers, compared to controls, had significantly higher median BS (3 vs 1 by both ISTH-BAT and C-BAT) and lower factor level (63.5 vs 101.8 IU/dL). Bleeding after surgical abortion and IUD placement was significantly associated with carrier status. Bleeding scores from neither ISTH-BAT nor C-BAT showed significant correlation with factor levels. CONCLUSION: Haemophilia carriers in China experienced abnormal bleeding. Unique to the Chinese carriers is significant bleeding after surgical abortion (3rd highest incidence of bleeding symptom) and IUD placement (4th highest). However, both ISTH-BAT and C-BAT exhibited no correlation between BS and factor levels in this population and neither could identify carriers with low factor level (of <50 IU/dL).
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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 | 0.001 |
| 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".