Evidence map›Paper›PMID 42714733›Full record

ReviewBlood research2026

CRS and ICANS: Early detection and personalized management.

Jinchul Kim

Abstract readReview
In one paragraph

Review in Blood research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Jinchul KimDepartment of Hematology-Oncology, Inha University College of Medicine and Hospital, 7-206 Third Street, Shinheung-Dong Jung-Gu, Incheon, Korea. jinchul.kim@inha.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T-cell-redirected immunotherapies, including chimeric antigen receptor T-cell therapy and bispecific antibodies, have transformed the treatment of relapsed or refractory hematologic malignancies. However, cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) remain the major immune-mediated toxicities that can complicate treatment delivery and contribute to morbidity and non-relapse mortality. CRS is characterized by systemic inflammatory amplification involving activated T cells, tumor cells, monocytes/macrophages, endothelial activation, and cytokine networks. ICANS is biologically related to CRS but has distinct features, including endothelial injury, blood-brain barrier disruption, and central nervous system inflammation. Standardized grading systems and structured neurologic assessments provide a common framework for recognition; however, optimal care increasingly requires risk-adapted and individualized strategies. Baseline disease burden, systemic inflammation, endothelial vulnerability, organ reserve, treatment platform, and product-specific toxicity profiles may help identify patients requiring closer monitoring or earlier intervention. Although prediction models and emerging monitoring approaches may improve early recognition, their roles should complement rather than replace clinical judgment. Management should balance timely toxicity control with the preservation of antitumor efficacy, avoidance of excessive immunosuppression, and careful attention to infection and cytopenia risks. For refractory CRS or ICANS, phenotype-directed escalation and multidisciplinary care are essential. This review summarizes the current concepts in the biology, recognition, risk prediction, early detection, and personalized management of CRS and ICANS.

Indexed as

Cytokine release syndromeImmune effector cell–associated neurotoxicity syndrome

Identifiers

PMID42714733
PMCPMC13558536

What OpenQuestion holds

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Registered trials

None linked

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.