Bibliographic record
Abstract
Donor blood is a limited resource and its transfusion is associated with significant adverse effects. Therefore, alternatives have been searched, the ultimate being artificial oxygen (O2) carriers. There are two main groups of artificial O2 carriers: hemoglobin based and perfluorocarbon emulsions. The hemoglobin molecule in hemoglobin based artificial O2 carriers needs to be stabilized to prevent dissociation of the alpha2beta2-hemoglobin tetramer into alphabeta-dimers in order to prolong intravascular retention and to eliminate nephrotoxicity. Other modifications serve to decrease O2 affinity in order to improve O2 off-loading to tissues. In addition, polyethylene glycol may be surface conjugated to increase molecular size. Finally, certain products are polymerized to increase the hemoglobin concentration at physiologic colloid oncotic pressure. Perfluorocarbons are carbon-fluorine compounds characterized by a high gas dissolving capacity for O2 and CO2 and chemical and biologic inertness. Perfluorocarbons are not miscible with water and therefore need to be brought into emulsion for intravenous application. Development, product specification, physiologic effects, efficacy to decrease the need for donor blood in surgery and side effects of the following products are described: Diaspirin cross-linked hemoglobin (HemAssist), human recombinant hemoglobin (rHb1.1 and rHb2.0), polymerized bovine hemoglobin-based O2 carrier (HBOC-201), human polymerized hemoglobin (PolyHeme), hemoglobin raffimer (Hemolink), maleimide-activated polyethylene glycol-modified hemoglobin (MP4) and perflubron emulsion (Oxygent). In addition, enzyme cross-linked poly-hemoglobin, hemoglobin containing vesicles (nano-dimension artificial red blood cells) and an allosteric modifier (RSR13) are discussed. The most advanced products are in clinical phase III trials but no product has achieved market approval yet in the US, Europe or Canada.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.011 |
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".