Management of patients with elevated Self-BAT scores or other bleeding symptoms
Bibliographic record
Abstract
OBJECTIVE: To provide recommendations for management of patients presenting with elevated self-administered bleeding assessment tool (Self-BAT) scores or other bleeding symptoms in a primary care setting. SOURCES OF INFORMATION: Primary research sources, clinical review articles, and interviews with research staff, hematologists, and family physicians were used to create the poster tools and reference guide resources. MAIN MESSAGE: Recommendations to manage a patient with an elevated Self-BAT score or other bleeding symptoms include reviewing the results of the Self-BAT to clarify relevant symptoms, performing initial diagnostic laboratory tests, and doing basic symptom management. Clinical judgment should be used when determining whether referral to a hematologist is necessary, but referral should be considered if the bleeding score is abnormal or if initial management options are ineffective. Some bleeding symptoms warrant evaluation by a gastroenterologist, obstetrician-gynecologist, or otolaryngologist. CONCLUSION: Primary care providers should conduct a thorough review of the Self-BAT results and associated management recommendations when working with a patient presenting with an elevated score or other bleeding manifestations. A review consists of the clarification of relevant symptoms, appropriate initial laboratory workups, and patient education. Treatment options for symptom management should be explored while recognizing the threshold for referral to a hematologist.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".