ReviewHematology. American Society of Hematology. Education Program2024
Mitigating and managing infection risk in adults treated with CAR T-cell therapy.
Review in Hematology. American Society of Hematology. Education Program, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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
9 citing papers in PubMed.
- Changes in C-Reactive Protein Forecast Infection Risk Following Treatment with Chimeric Antigen Receptor T Cells.Cancers · 2026Article
- Infections Within 100 Days of Idecabtagene Vicleucel and Impact on Survival for Relapsed/Refractory Multiple Myeloma: A CIBMTR Analysis.Transplantation and cellular therapy · 2026Article
- Infectious complications after CAR T-cell therapy: mechanisms, risk stratification, and prevention.Blood research · 2026Review
- Practical recommendations for infectious prophylaxis and vaccination in multiple myeloma patients.Frontiers in medicine · 2026Review
- Infections and CAR-T cells for the treatment of lymphoid malignancies: a narrative review.Frontiers in medicine · 2026Review
- Preoperative cardiovascular evaluation in patients with cancer.Frontiers in cardiovascular medicine · 2026Review
- Infection after CD19 chimeric antigen receptor T-cell therapy for large B-cell lymphoma: real-world analysis from CIBMTR.Blood advances · 2025Article
- Real-world outcomes of infections following tisagenlecleucel in patients with B-cell ALL: a CIBMTR analysis.Blood advances · 2025Article
- Article
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
No grant is acknowledged in the PubMed record.
Abstract
Chimeric antigen receptor T-cell therapy (CAR-T) has transformed the treatment paradigm of relapsed/refractory B-cell malignancies. Yet, this therapy is not without toxicities. While the early inflammation-mediated toxicities are now better understood, delayed hematopoietic recovery and infections result in morbidity and mortality risks that persist for months following CAR-T. The predisposition to infections is a consequence of immunosuppression from the underlying disease, prior therapies, lymphodepletion chemotherapy, delayed hematopoietic recovery, B-cell aplasia, and delayed T-cell immune reconstitution. These risks and epidemiology can vary over a post-CAR-T timeline of early (<30 days), prolonged (30-90 days), or late (>90 days) follow-up. Antibacterial, antiviral, and antifungal prophylaxis; growth factors and stem cell boost to expedite count recovery; immunoglobulin replacement therapy; and possibly revaccination programs are important prevention strategies to consider for infection mitigation. Assessment of risk factors, evaluation, and treatment for pathogen(s) prevalent in a particular time frame post-CAR-T are important clinical considerations in patients presenting with clinical features suggestive of infectious pathology. As more data emerge on the topic, personalized risk assessments to inform the type and duration of prophylaxis use and planning interventions will continue to emerge. Herein, we review our current approach toward infection mitigation while recognizing that this continues to evolve and that there are differences among practices stemming from data availability limitations.
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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.