Evidence map›Paper›PMID 42099215›Full record

ArticleTechnology in cancer research & treatment

Tecartus Real-World Adverse Event Reporting System in a Middle-Aged and Elderly Population: A FAERS-Based Pharmacovigilance Study.

Haipeng Li, Jiaqi Yan, Yanjun Zhang, Yanqiu Li, Xinyu Liu, Luyuan Chang, Chunyu Ma, Zhenghong Li, Jingting Min

Abstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

9 authors.

Haipeng LiDeaprtment of Mental Health, Bengbu Medical University, Bengbu, Anhui, China.ORCID 0009-0009-6432-2088
Jiaqi YanDepartment of Clinical Medicine, Bengbu Medical University, Bengbu, Anhui, China.
Yanjun ZhangDepartment of Life Sciences, Bengbu Medical University, Bengbu, Anhui, China.
Yanqiu LiDepartment of Basic Medicine, Bengbu Medical University, Bengbu, Anhui, China.
Xinyu LiuDepartment of Clinical Medicine, Bengbu Medical University, Bengbu, Anhui, China.
Luyuan ChangDepartment of Clinical Medicine, Bengbu Medical University, Bengbu, Anhui, China.
Chunyu MaDepartment of Clinical Medicine, Bengbu Medical University, Bengbu, Anhui, China.
Zhenghong LiDepartment of Life Sciences, Bengbu Medical University, Bengbu, Anhui, China.
Jingting MinDepartment of Basic Medicine, Bengbu Medical University, Bengbu, Anhui, China.ORCID 0000-0002-6739-2892

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundTecartus (brexucabtagene autoleucel) is an autologous CAR-T product targeting CD19, but there are many undetected and unreported adverse events (AEs).MethodsWe counted data from the US Food and Drug Administration Adverse Event Reporting System (FAERS) from Q4 2020 through Q4 2024 for proportionate analyses to assess the association between Tecartus and adverse events and important medical events (IMEs).ResultA total of 792 datasets related to Tecartus were collected. The following SOCs are significant signals: Nervous system disorders, Infections and infestations, Neoplasms benign, malignant and unspecified (incl cysts and polyps). The most common AEs are cytokine release syndrome, immune effector cell-associated neurotoxicity syndrome and neurotoxicity. With Tecartus, most AEs occur within one month, but AEs can still occur after one year of use.ConclusionBy analysing data from the real-world FAERS database, we identified additional disproportionately reported AEs, providing clinicians with more information about disproportionately reported AEs before and during treatment.

Indexed as

Adverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsPharmacovigilanceAgedDatabases, FactualFemaleHumansMaleUnited StatesUnited States Food and Drug Administrationdisproportionality analysisdrug safetyFAERSpharmacovigilanceTecartus

Identifiers

PMID42099215
PMCPMC13167272

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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.