Evidence map›Paper›PMID 36267762›Full record

ArticleAnnals of translational medicine2022

The correlation factors and prognostic significance of coagulation disorders after chimeric antigen receptor T cell therapy in hematological malignancies: a cohort study.

Rujiao Dong, Yudi Wang, Yuanyuan Lin, Xiaohong Sun, Chongyun Xing, Yu Zhang, Haizhi Wang, Lihui Dai, Kang Yu, Songfu Jiang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

11 citing papers in PubMed, 17 citations in OpenAlex.

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  11. Recognizing, defining, and managing CAR-T hematologic toxicities.Hematology. American Society of Hematology. Education Program · 2023
    Review
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

10 authors at 2 institutions in 1 country.

Rujiao DongDepartment of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yudi WangDepartment of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yuanyuan LinDepartment of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xiaohong SunDepartment of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Chongyun XingDepartment of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yu ZhangDepartment of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Haizhi WangDepartment of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Lihui DaiDepartment of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Kang YuDepartment of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Songfu JiangDepartment of Hematology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
First Affiliated Hospital of Wenzhou Medical University · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Along with cytokine release syndrome (CRS) and neurotoxicity, coagulation disorder is a common early complication of chimeric antigen receptor (CAR)-T cell therapy. However, the mechanisms and prognostic significance of CAR-T-related coagulation disorders are not fully known. This study explored the possible correlation factors and prognostic significance of coagulation disorders after CAR-T cell infusion in patients with relapsed/refractory hematological malignancies. Methods: This cohort study included 56 patients with relapsed/refractory hematological malignancies who were treated with CAR-T cells between April 2017 and February 2022. The median follow-up was 26.8 months. Coagulation disorders were defined as the abnormality in at least one coagulation parameters, including prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen, and D-dimer. The correlation factors of coagulation disorders were analyzed using Wilcoxon rank-sum test, Fisher's exact test, paired Results: The incidence of coagulation disorders was 59% within 1 month of CAR-T cell infusion. PT prolongation, APTT prolongation, TT prolongation, and D-dimer increase peaked at a median of 6-9 days, and fibrinogen decreased to its lowest value at a median of 12 days. Coagulation disorders in patients with severe CRS were more significant (P<0.001). Abnormality of coagulation parameters was closely related to cytokines, CAR-T cells, liver function parameters, and von Willebrand Factor (VWF) in both peak level and peak time (P<0.05). Statistical analysis showed that coagulation disorders were associated with higher initial response rates (TT, P=0.006; D-dimer, P=0.010) and also longer progression-free survival (PFS) (PT, P=0.017; APTT, P=0.018; TT, P=0.001; Fibrinogen, P=0.003; D-dimer, P<0.001) in CAR-T therapy, with TT prolongation (HR =0.279, 95% CI: 0.099-0.782, P=0.015) and D-dimer increase (HR =0.218, 95% CI: 0.087-0.548, P=0.001) independent predictors for PFS. Conclusions: The protection of liver and endothelial cells may reduce CAR-T-related coagulation disorders. Further, coagulation disorders occurring within 1 month of CAR-T cell infusion can serve as a new predictor for prognosis in patients with hematological malignancies.

Indexed as

Chimeric antigen receptor T cellscoagulation disordersendothelial cellsliver functionprognosis

Identifiers

PMID36267762
PMCPMC9577724
OpenAlexW4296716559

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.