Evidence map›Paper›PMID 42489952›Full record

ArticleInternational journal of hematology2026

Early prediction of ICANS using CRS characteristics in B-cell lymphoma patients receiving CAR-T therapy.

Hakuei Nishihara, Fumiaki Jinnouchi, Daisuke Ishihara, Hiroshi Imanaga, Kensuke Sasaki, Teppei Sakoda, Takuji Yamauchi, Kohta Miyawaki, Takahiro Shima, Masatoshi Shimo and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of hematology, 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

16 authors.

Hakuei NishiharaDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Fumiaki JinnouchiDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Daisuke IshiharaDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Hiroshi ImanagaDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Kensuke SasakiDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Teppei SakodaDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Takuji YamauchiDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Kohta MiyawakiDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Takahiro ShimaDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Masatoshi ShimoDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Tomoko HenzanCenter for Cellular and Molecular Medicine, Kyushu University Hospital, Fukuoka, 812-8582, Japan.
Yuya KunisakiDepartment of Clinical Chemistry and Laboratory Medicine, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Yoshikane KikushigeDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Yasuo MoriDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Koichi AkashiDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan.
Koji KatoDepartment of Medicine and Biosystemic Science, Kyushu University Graduate School of Medical Sciences, Fukuoka, 812-8582, Japan. kato.koji.429@m.kyushu-u.ac.jp.ORCID http://orcid.org/0000-0002-5815-4585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune effector cell-associated neurotoxicity syndrome (ICANS) is a serious early adverse event of chimeric antigen receptor T (CAR-T) cell therapy. ICANS typically occurs concurrently with or follows cytokine release syndrome (CRS), suggesting CRS can be considered the primary risk factor for ICANS onset. Therefore, CRS characteristics in an individual patient may predict their risk for subsequently developing ICANS. We analyzed 154 patients with B cell lymphoma treated with commercial CAR-T products between 2020 and 2024; 38 patients (24.7%) developed ICANS after CRS. The cohort was split into a derivation set and a validation set. In the derivation cohort, univariate analysis identified two CRS-related factors strongly associated with ICANS: CRS onset within 24h and grade 2-4 CRS by day 3. Using these two variables, we created a simple predictive model that stratified patients into high-, intermediate-, and low-risk groups, with ICANS incidences of 47.4%, 31.0%, and 8.2%, respectively. The validation cohort confirmed this trend. These findings suggest that early CRS characteristics provide a practical, clinically applicable method for estimating ICANS risk and may support timely management decisions in CAR-T therapy.

Indexed as

B-cell NHLCAR-TICANS

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.