Evidence map›Paper›PMID 41500783›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2025

[Research Progress on Interleukin-6 in Screening and Prognosis of Patients 
with Non-small Cell Lung Cancer].

Dongyang Xu, Chenxiao Qiao, Xiaoying Zhang, Qingchao Kong, Xiang Ji

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

5 authors.

Dongyang XuDepartment of Respiratory, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan 250014, China.
Chenxiao QiaoDepartment of Respiratory, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan 250014, China.
Xiaoying ZhangDepartment of Respiratory, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan 250014, China.
Qingchao KongDepartment of Respiratory, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan 250014, China.
Xiang JiDepartment of Respiratory, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Jinan 250014, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC), the predominant histological subtype of lung cancer, mandates precise screening and accurate prognostic assessment to guide therapeutic strategies and improve patient survival. The initiation and progression of NSCLC are intimately linked to inflammatory responses. Interleukin-6 (IL-6), a pivotal inflammatory mediator, critically modulates the tumor microenvironment, immune evasion, tumor progression, and therapy resistance in NSCLC. Recent evidence indicates that IL-6 not only participates in the biological behavior of NSCLC but also holds promise as a potential biomarker for early detection and prognostication. This review summarizes the role of IL-6 in NSCLC screening, treatment-related adverse events, and its utility in the management of NSCLC-associated comorbidities.
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Indexed as

Carcinoma, Non-Small-Cell LungInterleukin-6Lung NeoplasmsAnimalsBiomarkers, TumorHumansPrognosisBiomarkers, TumorInterleukin-6Interleukin-6Lung neoplasmsPrognosisScreening

Identifiers

PMID41500783
PMCPMC12782942

What OpenQuestion holds

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LicenceCC BY
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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.