Evidence map›Paper›PMID 32175376›Full record

ArticleAnnals of translational medicine2020

Establishing M1 stage subdivisions by incorporating radiological features and Epstein-Barr virus DNA for metastatic nasopharyngeal carcinoma.

Wei-Hong Zheng, Xiao-Jun He, Fo-Ping Chen, Li Lin, Xiao-Dan Huang, Hua-Qiang Zhou, Jia Kou, Jia-Wei Lv, Jun Ma, Guan-Qun Zhou and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 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
3.5field-weighted citation impact, top 6% 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, 28 citations in OpenAlex.

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  7. M1 stage subdivisions based onTherapeutic advances in medical oncology · 2022
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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 4 institutions in 1 country.

Wei-Hong ZhengDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Xiao-Jun HeDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Fo-Ping ChenDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Li LinDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Xiao-Dan HuangDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Hua-Qiang ZhouState Key Laboratory of Oncology in South China, Guangzhou 510060, China.
Jia KouDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Jia-Wei LvDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Jun MaDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Guan-Qun ZhouDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Ying SunDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
State Key Laboratory of Oncology in South ChinaKey Laboratory of Guangdong Province · CNSun Yat-sen University · CNSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSignificance of plasma Epstein-Barr virus deoxyribonucleic acid (EBV DNA)-a proven robust indicator for nasopharyngeal carcinoma (NPC)-is not yet clarified in risk stratification of metastatic NPC (mNPC). We aim to establish effective M1 stage subdivisions in mNPC by integrating radiological features and EBV DNA at diagnosis of metastasis (mEBV DNA).

methodsThe study comprised 1,007 mNPC patients, including 817 metachronous mNPC (mmNPC) patients randomized into training (n=613) and internal validation (n=204) cohorts, and 190 synchronous mNPC (smNPC) patients defined as smNPC validation cohort. Primary clinical end-point was overall survival (OS). Covariate inclusion to recursive partitioning analysis (RPA)-generated risk stratification was qualified by a multivariable two-sided P<0.05. Performances of different models were compared using area under ROC curve (AUC), Harrell's concordance index (c-index) and Akaike information criterion (AIC).

resultsCompared with other simply image-based models, the ultimate RPA-EBV-stage presented a best performance [c-index =0.68 (training), 0.70 (internal validation), 0.64 (smNPC validation); AUC =0.69 (training), 0.72 (internal validation), 0.70 (smNPC validation)]: M1a (low mEBV DNA + oligo lesion), M1b (low mEBV DNA + multiple lesions), M1c (high mEBV DNA + no liver involvement), and M1d (high mEBV DNA + liver involvement). Corresponding 3-year OS rates were 49.9%, 33.4%, 22.6%, and 6.7%, respectively (P<0.001). In mmNPC patients, compared with chemotherapy alone, addition of local treatment demonstrated superiority in M1a and M1b; systemic therapy combined with targeted therapy conferred benefit on patients of M1c and M1d (P<0.05).

conclusionsThis RPA-EBV-stage provided favorable prognostic value for survival outcomes and could assist clinical and investigative management. Low-risk patients are considered suitable candidate for curative local treatment, and high-risk patients are recommended to undergo intensive systemic treatment.

Indexed as

Epstein-Barr virus DNA (EBV DNA)metastasisnasopharyngeal carcinoma (NPC)risk stratificationtreatment

Identifiers

PMID32175376
PMCPMC7048999
OpenAlexW2998850977

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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.