Evidence map›Paper›PMID 42860552›Full record

ArticleAnnals of medicine2026

Development and validation of a metabolic syndrome-based nomogram to predict 1-year metastasis after radiotherapy in locally advanced nasopharyngeal carcinoma.

Yanyu Chen, Hao Cheng, Changjun Xie, Ruimin He, Yaolin He, Haihui Xie, Aixin Li, Li Liang, Baiqi Wang, Yanhua Chen and 3 more

Abstract readValidation Study
In one paragraph

Article in Annals of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

13 authors.

Yanyu ChenDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Hao ChengDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Changjun XieDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Ruimin HeDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Yaolin HeDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Haihui XieDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Aixin LiDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Li LiangDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Baiqi WangDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Yanhua ChenDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Liqin JiangDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Yingqing LiState Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, PR China.
Ping FengDepartment of Cancer Center, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.ORCID 0000-0002-2736-8345

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) predicts outcomes in multiple malignancies. This study developed a MetS-integrated nomogram to estimate metastasis within one year after radiotherapy in locally advanced nasopharyngeal carcinoma (LA-NPC), extending existing models and facilitating personalized management.

methodsIn this retrospective single-center study, 1333 LA-NPC patients undergoing radiotherapy-based multimodal therapy were randomly divided into training (

resultsMetastasis within one year occurred in 56 (6.3%) training and 28 (6.3%) validation patients. Pretreatment T stage, N stage, MetS, plasma EBV DNA, lactate dehydrogenase (LDH), C-reactive protein (CRP), and smoking were associated with metastasis; multivariate analysis confirmed MetS and EBV DNA as independent predictors. The nomogram incorporating T stage, N stage, MetS, and EBV DNA achieved C-indexes of 0.763 (95% CI: 0.694-0.832, training) and 0.715 (95% CI: 0.629-0.801, validation), surpassing single predictors (all

conclusionThis MetS-based nomogram enables individualized risk stratification for metastasis within one year after radiotherapy in LA-NPC. The 8.7% threshold is exploratory but promising for identifying high-risk patients for further therapy or surveillance after external validation.

Indexed as

Metabolic SyndromeNasopharyngeal CarcinomaNasopharyngeal NeoplasmsNomogramsAdultAgedFemaleHerpesvirus 4, HumanHumansMaleMiddle AgedNeoplasm MetastasisNeoplasm StagingRetrospective StudiesRisk FactorsROC CurveMetabolic syndromenasopharyngeal carcinomanomogram

Identifiers

PMID42860552
PMCPMC13656660

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