Evidence map›Paper›PMID 31102988›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2019

Clinical features and survival outcomes between ascending and descending types of nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data intelligence platform-based analysis.

Ji-Jin Yao, Zhen-Yu Qi, Zhi-Gang Liu, Guan-Min Jiang, Xi-Wei Xu, Shao-Yi Chen, Feng-Ting Zhu, Wang-Jian Zhang, Wayne R Lawrence, Jun Ma and 2 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06829147 (Development and Validation of a Deep Learning Model for Diagnosing Lymph Node Metastasis in Nasopharyngeal Carcinoma Using Histologic Whole Slide Images and Time-dependent Magnetic Resonance Images), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.4field-weighted citation impact, top 4% 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.

NCT06829147 recruitingnot on this mapstarted 2024, after this paper: background citation

Development and Validation of a Deep Learning Model for Diagnosing Lymph Node Metastasis in Nasopharyngeal Carcinoma Using Histologic Whole Slide Images and Time-dependent Magnetic Resonance Images

TypeobservationalSponsorSun Yat-sen UniversityRan2024 to 2026Enrolled500ConditionsNasopharyngeal Cancinoma (NPC), Lymph Node Metastasis
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 35 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

12 authors at 4 institutions in 2 countries.

Ji-Jin YaoDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, PR China; Department of Head and Neck Oncology, The Cancer Center of The Fifth Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Biomedical Imaging, Zhuhai, PR China.
Zhen-Yu QiDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, PR China.
Zhi-Gang LiuDepartment of Head and Neck Oncology, The Cancer Center of The Fifth Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Biomedical Imaging, Zhuhai, PR China.
Guan-Min JiangDepartment of Clinical Laboratory, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, PR China.
Xi-Wei XuDepartment of Head and Neck Oncology, The Cancer Center of The Fifth Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Biomedical Imaging, Zhuhai, PR China.
Shao-Yi ChenDepartment of Head and Neck Oncology, The Cancer Center of The Fifth Affiliated Hospital of Sun Yat-sen University, Guangdong Provincial Key Laboratory of Biomedical Imaging, Zhuhai, PR China.
Feng-Ting ZhuDepartment of Imaging Diagnosis and Interventional Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yatsen University Cancer Center, Guangzhou, PR China.
Wang-Jian ZhangDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, United States.
Wayne R LawrenceDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, Rensselaer, United States.
Jun MaDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, PR China.
Guan-Qun ZhouDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, PR China. Electronic address: zhougq@sysucc.org.cn.
Ying SunDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou 510060, PR China. Electronic address: sunying@sysucc.org.cn.
Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CNUniversity at Albany, State University of New York · USFifth Affiliated Hospital of Sun Yat-sen University · CN

Funding

The Endowment for Community-based Health Disparities Research and TrainingS21MD010692 · NIMHD · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI RODRIGUEZ, HAVIDAN, SCHELL, LAWRENCE M · 2016 to 2020
$10.0M
NIMHD NIH HHS S21 MD010692
6 · The paper itself

Abstract

purposeTo compare clinical features and survival outcomes in patients with ascending type (type A) and descending type (type D) nasopharyngeal carcinoma (NPC) in the intensity-modulated radiotherapy (IMRT) era. MATERIALS AND

methodsA total of 5194 patients with type A and type D NPC treated at Sun Yat-sen University Cancer Center were randomly selected. Tumors that were mainly advanced local disease (T3-4 stage) with early stage cervical lymph node involvement (N0-1 stage) were determined as type A, while tumors with advanced lymph node disease (N2-3 stage) but early stage local invasion (T1-2 stage) were classified as type D NPC. Kaplan-Meier's analysis was used to evaluate survival rates, and log-rank test survival curves were used for comparison. In the multivariate analysis Cox proportional hazard models were developed.

resultsThere was a larger proportion of type A tumors (82%) than type D tumors (18%). Compared to patients with type A tumors, those with type D tumors had increased likelihood of distant metastasis, regional recurrence, disease recurrence, and death (P < 0.001 for all), however, not for local recurrence (P < 0.001). The HR (hazard ratio) for death following recurrence of disease for type D tumors were 1.6 compared to type A tumors. Multivariate analysis revealed that elevated EBV DNA, elevated lactate dehydrogenase, alcohol consumption, and no family history of cancer attributed to the development of type D tumors. Annual hazard rate in type A patients increased, peaking at 12-18 months after initial treatment and downward thereafter. Similar trend also occurred in type D during the first 5 years following treatment. Notably, a minor peak was also observed 7-8 years post treatment.

conclusionsIn the IMRT era, recurrence patterns differed across tumor types. Type D NPC had a more aggressive clinical course and worse outcomes compared with type A NPC.

Indexed as

AdultBig DataFemaleHumansKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisNasopharyngeal CarcinomaNasopharyngeal NeoplasmsNeoplasm Recurrence, LocalNeoplasm StagingProportional Hazards ModelsRadiotherapy, Intensity-ModulatedRetrospective StudiesSurvival RateAscending typeClinical featuresDescending typeIntensity-modulated radiotherapyNasopharyngeal carcinomaSurvival outcomes

Identifiers

PMID31102988
PMCPMC12883182
OpenAlexW2945021094

What OpenQuestion holds

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LicenceTDM
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Registered trials

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.