Evidence map›Paper›PMID 33191854›Full record

ArticleTechnology in cancer research & treatment

Establishment and Validation of Nomogram Model Integrated With Inflammation-Based Factors for the Prognosis of Advanced Non-Small Cell Lung Cancer.

Zhiliang Huang, Shan Xing, Yuanying Zhu, Yuanye Qu, Lina Jiang, Jiahe Sheng, Qian Wang, Songtao Xu, Ning Xue

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 5 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

9 authors at 3 institutions in 1 country.

Zhiliang HuangDepartment of Thoracic Surgery, Xiamen Branch, 12478Zhongshan Hospital, Fudan University, Xiamen, Fujian, China.
Shan XingDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Yuanying ZhuDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.
Yuanye QuDepartment of Clinical Laboratory, 377327Affiliated Tumor Hospital of Zhengzhou University, Henan Tumor Hospital, Zhengzhou Key Laboratory of Digestive Tumor Markers, Zhengzhou, China.
Lina JiangDepartment of Radiology, 377327Affiliated Tumor Hospital of Zhengzhou University, Henan Tumor Hospital, Zhengzhou Key Laboratory of Digestive Tumor Markers, Zhengzhou, China.
Jiahe ShengDepartment of Clinical Laboratory, 377327Affiliated Tumor Hospital of Zhengzhou University, Henan Tumor Hospital, Zhengzhou Key Laboratory of Digestive Tumor Markers, Zhengzhou, China.
Qian WangDepartment of Radiation Oncology, 74569China-Japan Union Hospital of Jilin University, Changchun, China.
Songtao XuDepartment of Thoracic Surgery, Xiamen Branch, 12478Zhongshan Hospital, Fudan University, Xiamen, Fujian, China.
Ning XueDepartment of Clinical Laboratory, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 71067Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID 0000-0003-4748-851X
Sun Yat-sen University · CNZhengzhou University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectsInflammation is one of the hallmarks of cancer. Tumor-associated inflammatory response plays a crucial role in enhancing tumorigenesis. This study aimed to establish an effective predictive nomogram based on inflammation factors in patients with advanced non-small cell lung cancer (NSCLC).

methodsWe retrospectively evaluated 887 patients with advanced NSCLC between November 2004 and December 2015 and randomly divided them into primary (n = 520) and validation cohorts (n = 367). Cox regression analysis was used to identify prognostic factors for building the nomogram. The predictive accuracy and discriminative ability of the nomogram were determined using a concordance index (C-index), calibration plot, and decision curve analysis and were compared to the TNM staging system.

resultsThe nomogram was established using independent risk factors (

conclusionsThe proposed nomogram with inflammatory factors resulted in an accurate prognostic prediction in patients with advanced NSCLC.

Indexed as

AdultAgedCarcinoma, Non-Small-Cell LungCombined Modality TherapyFemaleHumansInflammationLung NeoplasmsMaleMiddle AgedNeoplasm GradingNeoplasm StagingNomogramsPrognosisSurvival AnalysisTreatment Outcomeadvanced NSCLCinflammation factornomogramoverall survivalprognosis

Identifiers

PMID33191854
PMCPMC7675852
OpenAlexW3099184235

What OpenQuestion holds

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LicenceCC BY-NC
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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.