Evidence map›Paper›PMID 33363024›Full record

ArticleFrontiers in oncology2020

A Nomogram Based on Serum Biomarkers and Clinical Characteristics to Predict Survival in Patients With Non-Metastatic Nasopharyngeal Carcinoma.

Qing-Jie Li, Yan-Ping Mao, Rui Guo, Cheng-Long Huang, Xue-Liang Fang, Jun Ma, Ling-Long Tang, Lei Chen

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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 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

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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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  6. Nomogram for distant metastasis-free survival in patients with locoregionally advanced nasopharyngeal carcinoma.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qing-Jie LiDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yan-Ping MaoDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Rui GuoDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Cheng-Long HuangDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xue-Liang FangDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jun MaDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Ling-Long TangDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Lei ChenDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study focused on developing an effective nomogram for improving prognostication for patients with primary nasopharyngeal carcinoma (NPC) restaged according to the eighth edition of the AJCC/UICC TNM staging system.

methodsBased on data of 5,903 patients with non-metastatic NPC (primary cohort), we used Cox regression analysis to identify survival risk factors and created a nomogram. We used the nomogram to predict overall survival (OS), distant metastasis-free survival (DMFS) and disease-free survival (DFS) in the primary and independent validation (3,437 patients) cohorts. Moreover, we compared the prognostic accuracy between the 8th TNM system and the nomogram.

resultsThe nomogram included gender, age, T stage, N stage, Epstein-Barr virus DNA, hemoglobin, C-reactive protein, lactate dehydrogenase, and radiotherapy with/without induction or concurrent chemotherapy. In the prediction of OS, DMFS and DFS, the nomogram had significantly higher concordance index (C-index) and area under ROC curve (AUC) than the TNM system alone. Calibration curves demonstrated satisfactory agreements between nomogram-predicted and observed survival. The stratification in different groups permitted remarkable differentiation among Kaplan-Meier curves for OS, DMFS, and DFS.

conclusionThe nomogram led to a more precise prognostic prediction for NPC patients in comparison with the 8th TNM system. Therefore, it could facilitate individualized and personalized patients' counseling and care.

Indexed as

nasopharyngeal carcinomanomogramprognostic predictionserum biomarkerssurvival

Identifiers

PMID33363024
PMCPMC7758498

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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.