Evidence map›Paper›PMID 36276060›Full record

ArticleFrontiers in oncology2022

Radiation-induced eosinophil increase ratio predicts patient outcomes in non-small celllung cancer.

Nuo-Han Wang, Xin Zhang, Jiang-Dong Sui, Ying Wang, Yong-Zhong Wu, Qian-Qian Lei, Hong-Lei Tu, Li-Na Yang, Yun-Chang Liu, Meng-Qi Yang and 3 more

Open access · goldAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 2026
    Review
  2. Review
  3. Article
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 2 institutions in 1 country.

Nuo-Han WangCollege of Medicine, Chongqing University, Chongqing, China.
Xin ZhangRadiation Oncology Center, Chongqing University Cancer Hospital, Chongqing, China.
Jiang-Dong SuiRadiation Oncology Center, Chongqing University Cancer Hospital, Chongqing, China.
Ying WangRadiation Oncology Center, Chongqing University Cancer Hospital, Chongqing, China.
Yong-Zhong WuRadiation Oncology Center, Chongqing University Cancer Hospital, Chongqing, China.
Qian-Qian LeiRadiation Oncology Center, Chongqing University Cancer Hospital, Chongqing, China.
Hong-Lei TuRadiation Oncology Center, Chongqing University Cancer Hospital, Chongqing, China.
Li-Na YangRadiation Oncology Center, Chongqing University Cancer Hospital, Chongqing, China.
Yun-Chang LiuCollege of Bioengineering, Chongqing University, Chongqing, China.
Meng-Qi YangRadiation Oncology Center, Chongqing University Cancer Hospital, Chongqing, China.
Hao-Nan YangCollege of Bioengineering, Chongqing University, Chongqing, China.
Dan LiCollege of Medicine, Chongqing University, Chongqing, China.
Zheng LeiCollege of Medicine, Chongqing University, Chongqing, China.
Chongqing University · CNChongqing Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Radiotherapy (RT) is a double-edged sword in regulating immune responses. This study aimed to investigate the impact of thoracic RT on circulating eosinophils and its association with patient outcomes in non-small cell lung cancer (NSCLC). Materials and methods: This retrospective study included 240 patients with advanced NSCLC treated with definitive thoracic RT from January 2012 to January 2020. Statistics included Kaplan-Meier analysis of overall survival (OS) and progression-free survival (PFS), multivariate Cox analyses to identify significant variables, and Spearman's correlation to qualify the relationship between dose-volume histogram (DVH) parameters and EIR. Results: Absolute eosinophil counts (AECs) showed an increasing trend during RT and an obvious peak in the 1 Conclusion: EIR may serve as a potential biomarker to predict OS and PFS in NSCLC patients treated with RT. These findings require prospective studies to evaluate the role of such prognostic marker to identify patients at risk to tailor interventions.

Indexed as

dose-volume histogram parameterseosinophil increase rationon-small cell lung cancerradiotherapySequential chemoradiotherapy

Identifiers

PMID36276060
PMCPMC9585330
OpenAlexW4303183186

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.