Bibliographic record
Abstract
Despite many advances in the safety, processing and storage of conventional 22 degrees C liquid-stored allogeneic platelet concentrates, there are still significant drawbacks to standard platelet concentrates used in transfusions for patients with thrombocytopenia. Efforts to overcome these shortcomings have been undertaken in both academic and commercial settings, resulting in an array of novel platelet products and substitutes that are currently at various stages of development. This review summarises the recent developments in lyophilised platelets, infusible platelet membranes (IPM), red cells bearing arginine-glycine-aspartic acid (RGD) ligands, fibrinogen-coated albumin microcapsules and liposome-based agents as putative alternatives to conventional transfusions involving allogeneic platelet concentrates. These various products are designed to replace the use of allogeneic donor platelets with modified or artificial platelets, to augment the function of existing platelets and/or provide a procoagulant material capable of achieving primary haemostasis in patients with thrombocytopenia. Preclinical studies have been encouraging for several of these platelet substitutes and novel platelet products, however, to date, only a few of these products have entered human trials. With the ongoing development of these diverse products, properties necessary for haemostatic effectiveness will become apparent. Safety and efficacy, however, must be demonstrated in preclinical and Phase I - III clinical trials, before these novel agents can be used clinically for patients with thrombocytopenia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.004 | 0.003 |
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".