Evidence map›Paper›PMID 41152602›Full record

ArticleBritish journal of cancer2026

Population-based nasopharyngeal carcinoma survival in southern China.

Yun Du, Ruimei Feng, Ellen T Chang, Li Yin, Paul Dickman, Tingting Huang, Yancheng Li, Xiang Zhou, Yi Huang, Canqiong Su and 9 more

Abstract read
In one paragraph

Article in British journal of cancer, 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. Article
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

19 authors.

Yun Du *Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Ruimei Feng *Department of Epidemiology and Health Statistics and Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, China.
Ellen T ChangDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Li YinDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Paul DickmanDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-5788-3380
Tingting HuangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yancheng LiGuangxi Health Commission Key Laboratory of Molecular Epidemiology of Nasopharyngeal Carcinoma, Wuzhou Red Cross Hospital, Wuzhou, China.
Xiang ZhouState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yi HuangKey Laboratory of High-Incidence-Tumor Prevention & Treatment (Guangxi Medical University), Ministry of Education, Nanning, China.
Canqiong SuGuangxi Health Commission Key Laboratory of Molecular Epidemiology of Nasopharyngeal Carcinoma, Wuzhou Red Cross Hospital, Wuzhou, China.
Xue XiaoKey Laboratory of High-Incidence-Tumor Prevention & Treatment (Guangxi Medical University), Ministry of Education, Nanning, China.
Weihua JiaState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yuming ZhengGuangxi Health Commission Key Laboratory of Molecular Epidemiology of Nasopharyngeal Carcinoma, Wuzhou Red Cross Hospital, Wuzhou, China.
Hans-Olov AdamiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-9592-5791
Yixin ZengState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yonglin CaiGuangxi Health Commission Key Laboratory of Molecular Epidemiology of Nasopharyngeal Carcinoma, Wuzhou Red Cross Hospital, Wuzhou, China.ORCID http://orcid.org/0000-0002-2001-1351
Zhe ZhangKey Laboratory of High-Incidence-Tumor Prevention & Treatment (Guangxi Medical University), Ministry of Education, Nanning, China.ORCID http://orcid.org/0000-0001-8816-3194
Miao XuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID http://orcid.org/0000-0001-7091-4199
Weimin YeDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. weimin.ye@ki.se.ORCID http://orcid.org/0000-0002-6859-4648

Funding

China Scholarship Council (CSC) 201806380006National Natural Science Foundation of China (National Science Foundation of China) 81272983National Natural Science Foundation of China (National Science Foundation of China) 82204133Vetenskapsrådet (Swedish Research Council) 2015-02625, 2015-06268, and 2017-05814
6 · The paper itself

Abstract

backgroundFew population-based studies on nasopharyngeal carcinoma (NPC) prognosis exist. Such real-world data with complete follow-up are needed to enable accurate estimation of survival probabilities and monitor progress in early detection and treatment.

methodsIn a population-based study of 2529 patients with incident NPC in southern China diagnosed in 2010-2013, we developed a passive-active-passive follow-up strategy involving data linkage and direct contact to track patients' vital status, cause of death, and migration through December 31, 2018. We calculated 5-year survival probabilities by the Kaplan-Meier method, and estimated avoidable deaths comparing hypothetical scenarios and real-world observations.

resultsEarly-stage (I-II) patients accounted for 11·5%, and 21·1% were treated in medical-university-affiliated or province-level hospitals. With a mean follow-up time of 5·5 years after diagnosis (98.3% complete), 5-year overall and NPC-specific survival probabilities were 70·1% and 74·5%. The 5-year overall survival probabilities for stage I, II, III, IVa, IVb, and IVc were 91·3%, 87·8%, 79·8%, 63·9%, 57·7%, and 34·4%, respectively. Survival of non-metastatic (I-IVb) population-based patients diagnosed in 2010-2013 was comparable to that of a hospital-based southern Chinese NPC cohort diagnosed in 1997-2007. Based on observed data, if all patients were diagnosed at stages I-II, then total avoidable deaths within 5 years after diagnosis would be 156 per 1000 patients.

conclusionsReal-world population-based NPC survival lags behind that of large hospital-based cohorts, but earlier diagnosis has the potential to substantially reduce mortality from NPC. Our results highlight the importance of improving the accessibility of health resources and promoting early detection of NPC.

Indexed as

Nasopharyngeal CarcinomaNasopharyngeal NeoplasmsAdultAgedChinaFemaleFollow-Up StudiesHumansKaplan-Meier EstimateMaleMiddle AgedNeoplasm StagingPrognosisYoung Adult

Identifiers

PMID41152602
PMCPMC12764582

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