ReviewBlood2026
Precision transfusion medicine in the omics era.
Review in Blood, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
abstractTransfusion medicine has practiced a form of precision medicine for decades through compatibility testing, infectious disease screening, component manufacturing, traceability, and hemovigilance. Yet blood is still often treated primarily as a commodity-collected, processed, stored, and transfused-rather than as a dynamic biological product rich in molecular information. This Perspective argues that the field is uniquely positioned to extend its long-standing precision framework into a more molecular, longitudinal, and predictive era. Omics approaches, especially genomics and repeated metabolomic or proteomic profiling, can help define stable donor traits, track physiologic changes across the donation career, and connect donor biology to storage quality, posttransfusion performance, and recipient outcomes. Clinical metabolomics may eventually extend this framework to recipients, enabling deeper phenotyping across the full vein-to-vein continuum. This vision supports the emergence of the "blood unit+," a blood product enriched not only by compatibility and availability but also by biological context that may inform quality, resilience, and transfusion efficacy. At population scale, longitudinal donor testing could transform blood systems into distributed observatories of public health or health weather stations, enabling molecular epidemiology, digital donor twins, and more meaningful reciprocity with donors. Integrated with artificial intelligence, these data could help strengthen donor recruitment and retention, by engaging a new generation of increasingly health-conscious donors, while supporting the resilience of blood systems facing demographic aging and shifting patterns of donor behavior and linking donor biology, product behavior, and recipient response in ways no other field can presently match.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.