Evidence map›Paper›PMID 32983982›Full record

ArticleFrontiers in oncology2020

Clinical Characteristics and Prognostic Factors of Early and Late Recurrence After Definitive Radiotherapy for Nasopharyngeal Carcinoma.

Feng Li, Fo-Ping Chen, Yu-Pei Chen, Yue Chen, Xiao-Jun He, Xiao-Dan Huang, Zi-Qi Zheng, Wei-Hong Zheng, Xu Liu, Ying Sun and 1 more

Open access · goldAbstract read
In one paragraph

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 14 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

11 authors at 2 institutions in 1 country.

Feng LiDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Fo-Ping ChenDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yu-Pei ChenDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yue ChenDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xiao-Jun HeDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xiao-Dan HuangDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zi-Qi ZhengDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Wei-Hong ZhengDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xu LiuDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Ying SunDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Guan-Qun ZhouDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China.
Sun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the clinical characteristics, prognostic factors, and post-recurrence prognostic factors of early- and late-recurrence patients for nasopharyngeal carcinoma (NPC) after definitive intensity-modulated radiation therapy (IMRT). This was a single-center retrospective analysis of patients in China from January 2010 to December 2015. The prognostic factors for overall survival (OS) and post-recurrence OS of early- and late-recurrence patients were identified using univariate and multivariate Cox regression analyses. Of the 9,468 patients included, 409 (4.3%), 325 (3.4%), and 182(1.9%) developed purely local recurrence, purely regional recurrence, and locoregional recurrence during follow-up, respectively. In the purely local recurrence group, 192 patients (46.9%) developed early local recurrence (ETR), and 217 patients (53.1%) developed late local recurrence (LTR). Of the 192 ETR patients, multivariate Cox regression analysis revealed that age and gender were independent risk factors of OS, and post-recurrence best supportive treatment (PRBST) was associated with poorer post-recurrence OS. Of the 217 LTR patients, the results revealed that baseline value of EBV-DNA was an independent risk factor for OS, while PRBST was associated with poorer post-recurrence OS. In the purely regional recurrence group, 183 patients (56.3%) developed early regional recurrence (ENR), and 142 patients (43.7%) developed late regional recurrence (LNR). Of the 183 ENR patients, multivariate Cox regression analysis revealed that alcohol abuse and TNM stage were independent risk factors of OS, while alcohol drinkers and PRBST were associated with poorer post-recurrence OS. Of the 142 LNR patients, PRBST was associated with poorer post-recurrence OS. In the locoregional recurrence group, 87 patients (47.8%) developed early locoregional recurrence (ELR), and 95 patients (52.2%) developed late locoregional recurrence (LLR). Of the 87 ELR patients, multivariate Cox regression analysis revealed that N stage and TNM stage were independent risk factors of OS, and N2/3 stage and PRBST were associated with poorer post-recurrence OS. Of the 95 LLR patients, the results revealed that T stage was an independent risk factor for OS, while T3/4 stage and PRBST were associated with poorer post-recurrence OS. Patients with LTR/LNR/LLR demonstrate significantly better OS compared with patients with ETR/ENR/ELR, Nevertheless, post-recurrence OS between patients with ETR/ENR/ELR and LTR/LNR/LLR was not significantly different.

Indexed as

early locoregional recurrencelate locoregional recurrencenasopharyngeal carcinomaprognosisradiotherapy

Identifiers

PMID32983982
PMCPMC7479816
OpenAlexW3081133591

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.