Evidence map›Paper›PMID 33163403›Full record

ArticleFrontiers in oncology2020

Prognostic Value of the Lung Immune Prognostic Index May Differ in Patients Treated With Immune Checkpoint Inhibitor Monotherapy or Combined With Chemotherapy for Non-small Cell Lung Cancer.

Wenxian Wang, Zhangzhou Huang, Zongyang Yu, Wu Zhuang, Weijun Zheng, Zhijian Cai, Lei Shi, Xinmin Yu, Guangyuan Lou, Wei Hong and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 4 pooled it
1.3field-weighted citation impact, top 16% 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

21 citing papers in PubMed, 4 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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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 at 7 institutions in 1 country.

Wenxian WangDepartment of Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences & Zhejiang Cancer Hospital, Hangzhou, China.
Zhangzhou HuangDepartment of Medical Oncology, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China.
Zongyang YuDepartment of Medical Oncology, The 900th Hospital, Fuzhou, China.
Wu ZhuangDepartment of Medical Oncology, Fujian Provincial Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, China.
Weijun ZhengDepartment of Medical Statistics, College of Public Health, Zhejiang Chinese Medical School, Hangzhou, China.
Zhijian CaiInstitute of Immunology, Zhejiang University School of Medicine, Hangzhou, China.
Lei ShiHangzhou YITU Healthcare Technology Co., Ltd., Hangzhou, China.
Xinmin YuDepartment of Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences & Zhejiang Cancer Hospital, Hangzhou, China.
Guangyuan LouDepartment of Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences & Zhejiang Cancer Hospital, Hangzhou, China.
Wei HongDepartment of Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences & Zhejiang Cancer Hospital, Hangzhou, China.
Yiping ZhangDepartment of Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences & Zhejiang Cancer Hospital, Hangzhou, China.
Ming ChenZhejiang Key Laboratory of Radiation Oncology, Zhejiang Cancer Hospital, Hangzhou, China.
Zhengbo SongDepartment of Medical Oncology, Cancer Hospital of the University of Chinese Academy of Sciences & Zhejiang Cancer Hospital, Hangzhou, China.
Chinese Academy of Sciences · CNZhejiang Cancer Hospital · CNFujian Medical University · CNFujian Provincial Cancer Hospital · CNUniversity of Chinese Academy of Sciences · CNZhejiang Chinese Medical University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung immune prognostic index (LIPI) status was recently developed to predict responses to immune checkpoint inhibitor (ICI) treatments. However, it is unclear whether LIPI is a prognostic index for both patients treated with ICI monotherapy and patients treated with ICIs combined with chemotherapy (ICIs CC).

methodsThis retrospective study established the patterns of LIPI in Chinese patients with advanced non-small cell lung cancer. Lung immune prognostic index based on the derived neutrophil-to-lymphocyte ratio greater than 3 and lactate dehydrogenase greater than the upper limit of normal was developed to characterize good, intermediate, or poor LIPI status. Associations between LIPI status and progression-free survival (PFS) and overall survival (OS) were analyzed. Kaplan-Meier curves and Cox proportional hazards models were used to determine survival differences.

resultsThree hundred thirty patients were included in this study. Of these patients, 216 received ICI monotherapy and 114 received ICIs CC. A good LIPI status was associated with better PFS (6.1 months vs. 2.3 months vs. 2.1 months,

conclusionsLung immune prognostic index status and dynamic changes in LIPI could be prognostic markers of treatment response to ICI monotherapy, but not to ICIs CC. In particular, good LIPI status was associated with a better clinical outcome compared with intermediate and poor LIPI status in ICI monotherapy treatment.

Indexed as

biomarkerchemotherapyimmune checkpoint inhibitorlung immune prognostic indexnon-small cell lung cancer

Identifiers

PMID33163403
PMCPMC7583465
OpenAlexW3092140172

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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.