Five hematologic tests and treatments to question
Bibliographic record
Abstract
Choosing Wisely® is a medical stewardship initiative led by the American Board of Internal Medicine Foundation in collaboration with professional medical societies in the United States. The American Society of Hematology (ASH) released its first Choosing Wisely® list in 2013. Using the same evidence-based methodology as in 2013, ASH has identified 5 additional tests and treatments that should be questioned by clinicians and patients under specific, indicated circumstances. The ASH 2014 Choosing Wisely® recommendations include: (1) do not anticoagulate for more than 3 months in patients experiencing a first venous thromboembolic event in the setting of major, transient risk factors for venous thromboembolism; (2) do not routinely transfuse for chronic anemia or uncomplicated pain crises in patients with sickle cell disease; (3) do not perform baseline or surveillance computed tomography scans in patients with asymptomatic, early-stage chronic lymphocytic leukemia; (4) do not test or treat for heparin-induced thrombocytopenia if the clinical pretest probability of heparin-induced thrombocytopenia is low; and (5) do not treat patients with immune thrombocytopenia unless they are bleeding or have very low platelet counts.
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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 | 0.004 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.045 | 0.009 |
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".