Bibliographic record
Abstract
PURPOSE OF REVIEW: Immune thrombocytopenia (ITP) is an autoimmune bleeding disorder in which T and B cells recognize platelet antigens and initiate antiplatelet destructive mechanisms such as peripheral Fc receptor-mediated phagocytosis in the spleen or megakaryocyte destruction/inhibition within the bone marrow. The purpose of this review is to report on the ITP pathophysiology literature published from January 2011 to early in 2012. RECENT FINDINGS: The underlying stimulus of platelet autoimmunity is not known; however, in 2011, as in previous years, there has been a significant contribution of published studies addressing the pathophysiology of ITP. At least half of the 2011 ITP pathophysiology literature was associated with T-cell dysregulation particularly with respect to T-helper 17 cell and related cytokine and genetic studies. There were also studies related to B-cell responses, human spleen cells and the potential role of oxidative stress in ITP. With respect to therapeutic research, the mechanisms of action of intravenous gammaglobulin relating to Fc inhibitory receptors and sialylation have been challenged. SUMMARY: The overall landscape of pathophysiological research into ITP still is overwhelmed by studies on abnormal T-cell responses and these studies are beginning to clarify the underlying immune mechanisms that are responsible for the disorder.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".