Evidence map›Paper›PMID 39438579›Full record

ArticleScientific reports2024

A multimodality score strategy for assessing the risk of immune checkpoint inhibitors related cardiotoxicity.

Zhulu Chen, Rui Lan, Tao Ran, Li Tao, Yuxi Zhu, Yanwei Li, Chuan Zhang, Min Mao, Diansa Gao, Zhong Zuo

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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.

Zhulu Chen *Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Street, Yuzhong District, Chongqing, 400016, China.
Rui Lan *Department of Clinical Nutrition, School of Medicine, Chongqing University Cancer Hospital, Chongqing University, Chongqing, China.
Tao RanDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Street, Yuzhong District, Chongqing, 400016, China.
Li TaoDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuxi ZhuDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yanwei LiDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Street, Yuzhong District, Chongqing, 400016, China.
Chuan ZhangDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Street, Yuzhong District, Chongqing, 400016, China.
Min MaoDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Street, Yuzhong District, Chongqing, 400016, China.
Diansa GaoDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Street, Yuzhong District, Chongqing, 400016, China.
Zhong ZuoDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Street, Yuzhong District, Chongqing, 400016, China. 202115@cqmu.edu.cn.

Funding

Chongqing Medical Scientific Research project (Joint project of Chongqing Health Commission and Science and Technology Bureau) No.2023ZDXM011CQMU Program for Youth Innovation in Future Medicine No. W0188Municipal Education Commission No.KJQN202100462National Natural Science Foundation of China No. 81701384
6 · The paper itself

Abstract

This study aimed to find the association between four common clinical biomarkers and subsequent ICICT, developing a risk scoring strategy to assess the ICICT risk. Three terminals for ICICT were : Terminal 1, cancer therapy-related cardiomyopathies; Terminal 2, myocarditis or heart failure; and Terminal 3, myocarditis, heart failure, myocardial infarction, cerebral infarction, atrial fibrillation, or death. The thresholds were : N-terminal-pro-B-type-natriuretic-peptide ≥ 125 pg/mL, cardiac troponin T ≥ 6 ng/L, high-sensitivity C-reactive protein ≥ 3 mg/L, and coronary artery calcium score > 10 U. Each of the four abnormal biomarkers received 1 point. The links between biomarkers, score stage, and ICICT were analyzed. 375 patients with a mean follow-up of 1.91 years were included. All four biomarkers measured before immunotherapy were associated with a higher risk of developing ICICT. These scores were also associated with ICICT risk. The highest risk was the very high stage (score = 4) has 7.29, 8.83, and 7.02 folder higher risk compared to low risk group for Terminal 1-3, respectively. The cumulation of incidences also showed that the higher stages of score had an earlier onset and higher incidence of ICICT. 4 biomarkers and the scoring strategy enables clinicians to assess risk easily.

Indexed as

BiomarkersCardiotoxicityImmune Checkpoint InhibitorsAgedC-Reactive ProteinFemaleHeart FailureHumansMaleMiddle AgedNatriuretic Peptide, BrainNeoplasmsRisk AssessmentRisk FactorsTroponin TBiomarkersC-Reactive ProteinImmune Checkpoint InhibitorsNatriuretic Peptide, BrainTroponin TBiomarkersCardio-oncologyCardiotoxicityImmune checkpoint inhibitorsMultimodality score strategy

Identifiers

PMID39438579
PMCPMC11496699

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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.