Evidence map›Paper›PMID 33787881›Full record

SynthesisInternational journal of epidemiology2021

Smoking and nasopharyngeal cancer: individual data meta-analysis of six prospective studies on 334 935 men.

Jia Huang Lin, Chi Pang Wen, Chao Qiang Jiang, Jian-Min Yuan, Chien Jen Chen, Sai Yin Ho, Wayne Gao, Weisen Zhang, Renwei Wang, Yin-Chu Chien and 12 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in International journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 24 citations in OpenAlex.

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  14. Risk-Reducing Measures for Cancer Prevention.Korean journal of family medicine · 2023
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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

22 authors at 13 institutions in 5 countries.

Jia Huang LinSchool of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong.ORCID 0000-0002-2065-8702
Chi Pang WenInstitute of Population Health Sciences, National Health Institutes, Zhunan, Taiwan.
Chao Qiang JiangGuangzhou No.12 Hospital, Guangzhou, China.
Jian-Min YuanDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Centre, University of Pittsburgh, Pittsburgh, PA, USA.
Chien Jen ChenGenomics Research Centre, Academia Sinica, Taipei, Taiwan.
Sai Yin HoSchool of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong.
Wayne GaoMaster's Program in Global Health and Development, Taipei Medical University, Taipei, Taiwan.
Weisen ZhangGuangzhou No.12 Hospital, Guangzhou, China.
Renwei WangDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Centre, University of Pittsburgh, Pittsburgh, PA, USA.
Yin-Chu ChienGenomics Research Centre, Academia Sinica, Taipei, Taiwan.
Lin XuSchool of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong.
Xifeng WuCentre for Biostatistics Bioinformatics and Big Data, School of Public Health, National Institute for Data Science in Health and Medicine, Zhejiang University, Hangzhou, China.
Ya Li JinGuangzhou No.12 Hospital, Guangzhou, China.
Woon-Puay KohHealth Services and Systems Research, Duke-NUS Medical School, Singapore.
Wan-Lun HsuGenomics Research Centre, Academia Sinica, Taipei, Taiwan.
Feng ZhuGuangzhou No.12 Hospital, Guangzhou, China.
Christopher WenDepartment of Radiology, Long Beach Veterans Administration Hospital, University of California at Irvine, Irvine, CA, USA.
Tong ZhuGuangzhou No.12 Hospital, Guangzhou, China.
June Han LeeInstitute of Population Health Sciences, National Health Institutes, Zhunan, Taiwan.
Zhi-Ming MaiSchool of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong.
Maria Li LungCentre for Nasopharyngeal Carcinoma Research (CNPCR), Research Grants Council Area of Excellence Scheme, University of Hong Kong, Hong Kong.
Tai-Hing LamSchool of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong.ORCID 0000-0002-2033-9971
Twelfth Guangzhou City People's Hospital · CNNational Health Research Institutes · TWUniversity Grants Committee · HKGenomics Research Center, Academia Sinica · TWNational Taiwan University · TWNational University of Singapore · SGPeking University · CNSun Yat-sen University · CNTaipei Medical University · TWUniversity of Hong Kong · HKUniversity of Pittsburgh · USUPMC Hillman Cancer Center · USZhejiang University · CN

Funding

Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
THE SINGAPORE COHORT STUDY OF DIET AND CANCERR01CA080205 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YUAN, JIAN-MIN · 1999 to 2009
$5.3M
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
NCI NIH HHS R01 CA080205NCI NIH HHS R01 CA144034NCI NIH HHS UM1 CA182876
6 · The paper itself

Abstract

backgroundThe role of smoking in nasopharyngeal carcinoma (NPC) remains uncertain, especially in endemic regions. We conducted an individual participant data (IPD) meta-analysis of prospective cohort studies to investigate the associations between smoking exposure and risk of NPC.

methodsWe obtained individual participant data of 334 935 male participants from six eligible population-based cohorts in NPC-endemic regions, including two each in Guangzhou and Taiwan, and one each in Hong Kong and Singapore. We used one- and two-stage approaches IPD meta-analysis and Cox proportional hazard models to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) of NPC for smoking exposure adjusting for age and drinking status.

resultsDuring 2 961 315 person-years of follow-up, 399 NPC evens were ascertained. Risks of NPC were higher in ever versus never smokers (HRone-stage = 1.32, 95% CI = 1.07-1.63, P = 0.0088; HRtwo-stage = 1.27, 1.01-1.60, 0.04). These positive associations appeared to be stronger in ever smokers who consumed 16+ cigarettes/day (HRone-stage = 1.67, 95% CI = 1.29-2.16, P = 0.0001), and in those who started smoking at age younger than 16 (2.16, 1.33-3.50, 0.0103), with dose-response relationships (P-values for trend = 0.0028 and 0.0103, respectively). Quitting (versus daily smoking) showed a small reduced risk (stopped for 5+ years: HRone-stage = 0.91, 95% CI = 0.60-1.39, P = 0.66; for former smokers: HRtwo-stage = 0.84, 0.61-1.14, 0.26).

conclusionsThis first IPD meta-analysis from six prospective cohorts in endemic regions has provided robust observational evidence that smoking increased NPC risk in men. NPC should be added to the 12-16 cancer sites known to be tobacco-related cancers. Strong tobacco control policies, preventing young individuals from smoking, would reduce NPC risk in endemic regions.

Indexed as

Nasopharyngeal NeoplasmsHong KongHumansMaleNasopharyngeal CarcinomaObservational Studies as TopicProspective StudiesRisk FactorsSingaporeSmokingTaiwancohort studyepidemiologyindividual datameta-analysisNasopharyngeal carcinomasmoking

Identifiers

PMID33787881
PMCPMC8271191
OpenAlexW3150631424

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.