Evidence map›Paper›PMID 36033529›Full record

ArticleFrontiers in oncology2022

Eosinophil as a biomarker for diagnosis, prediction, and prognosis evaluation of severe checkpoint inhibitor pneumonitis.

Yanlin Li, Xiaohui Jia, Yonghao Du, Ziyang Mao, Yajuan Zhang, Yuan Shen, Hong Sun, Mengjie Liu, Gang Niu, Jun Wang and 3 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 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
–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

11 citing papers in PubMed.

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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

13 authors.

Yanlin LiDepartment of Medical Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaohui JiaDepartment of Medical Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yonghao DuDepartment of Radiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ziyang MaoDepartment of Medical Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yajuan ZhangDepartment of Medical Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yuan ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.
Hong SunDepartment of Medical Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Mengjie LiuDepartment of Medical Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Gang NiuDepartment of Radiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jun WangDepartment of Oncology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan, China.
Jie HuSuzhou DiYinAn Biotech Co., Ltd., Suzhou, China.
Min JiaoDepartment of Medical Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Hui GuoDepartment of Medical Oncology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Checkpoint inhibitor pneumonitis (CIP) is a common serious adverse event caused by immune checkpoint inhibitors (ICIs), and severe CIP can be life-threatening. We aimed to investigate the role of peripheral blood cells in diagnosis, prediction, and prognosis evaluation for all and severe CIP. Materials and methods: Patients with lung cancer receiving ICIs were enrolled in this retrospective study. Baseline was defined as the time of ICI initiation, endpoint was defined as the time of clinical diagnosis of CIP or the last ICI treatment, and follow-up point was defined as 1 week after CIP. Eosinophil percentages at baseline, endpoint, and follow-up point were shortened to " Results: Among 430 patients included, the incidence of CIP was 15.6%, and severe CIP was 3.7%. The Conclusions: Eosinophil percentage was associated with the diagnosis, prediction, and prognosis of CIP and severe CIP.

Indexed as

biomarkercheckpoint inhibitor pneumonitiseosinophil percentageimmunotherapylung cancer

Identifiers

PMID36033529
PMCPMC9413068

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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.