ReviewBone marrow transplantation2025
Role of the CIBMTR biorepository and registry in precision transplantation research.
Review in Bone marrow transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Intelligent immunotherapy: AI-driven optimization of CAR-T therapy in hematologic malignancies.iScience · 2026Review
- Spectrum, pathobiology, mechanistic insights and diagnostic challenges of post-CAR T cell therapy lymphoproliferative disorders.Nature reviews. Clinical oncology · 2026Review
- The digital keystone: how artificial intelligence is reshaping HLA research and clinical practice.Immunogenetics · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Observational studies using registry-based data have become indispensable in our management of patients receiving hematopoietic cell transplantation (HCT) or cellular therapies (CT) for hematologic malignancies. These registries support studies that describe the natural history of disease, evaluate clinical effectiveness, or measure safety and quality of patient care. To complement registries, biobanks exist as an essential partner to provide insight on genetic, molecular, and cellular processes. In this review, we discuss and provide examples of several biobank and registry collaborations that have advanced our knowledge in the field of HCT and CT, using the Center for International Blood and Marrow Transplantation Research (CIBMTR) as a highlighted example. The CIBMTR has collected data on over 650,000 patients and has over 60,000 paired donor recipient banked samples available for research. Biospecimens and clinical data from the CIBMTR have led to advancements in our knowledge and care of conditions such as acute myeloid leukemia and myelodysplastic syndrome (MDS), as well as our understanding of the roles of HLA typing and social determinants of health. Despite the utility in advancing research, registries and biobanks do not exist without challenges which are briefly reviewed. Nevertheless, the contributions of these resources in supporting HCT/CT research are noteworthy.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.