NONE TOO S.M.A.<scp>LL</scp>: the global challenge of severe malarial anaemia and its transfusion support
Bibliographic record
Abstract
In endemic areas, the burden of malaria and anaemia converge together upon children, with severe malarial anaemia ( SMA ) accounting disproportionately for demands on limited blood supplies. The attributable morbidity and mortality from SMA remain high, and improved outcomes hinge in part on the timeliness, sufficiency and safety of transfusion support. The pathogenesis of SMA is complex, and depreciation kinetics (towards syndrome‐defining haemoglobin levels of <50 g/l) occur acutely or insidiously, and in relation to the parasite burden and host response. Beyond haemolysis of parasitized erythrocytes, mechanisms of bystander loss and reduced erythropoiesis figure prominently, with parallels to hyperhaemolysis syndrome. Involuntarily undertransfused children with SMA in low‐income countries ( LIC ) differ from those adults in high‐income countries ( HIC ) who deliberately renounce transfusion. Despite youth‐related advantages in the power to adapt to anaemia, critical reductions in oxygen‐carrying capacity illustrate the hierarchical impacts of organ anoxia, be it in terminal cardiorespiratory events or irreversible neurocognitive impairments in survivors. When resources permit, the dynamics of restored oxygen delivery by transfusion are particularly observable in SMA , as the triggers to transfuse are so much lower (and the odds of corresponding lactic acidosis are so much higher) than in HIC s. Questions on the best haemotherapy approaches to SMA remain, be these in dosage, infusion rate, component preparation or matching options; these fundamental concerns now transcend those related to storage duration. As a persisting global scourge, SMA therefore keeps driving and facing the mandate to bank life‐preserving blood for those with the most to gain (and otherwise lose).
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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.291 | 0.144 |
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".