Evidence map›Paper›PMID 29518203›Full record

ArticleJournal of the National Cancer Institute2018

Overall and Central Obesity and Risk of Lung Cancer: A Pooled Analysis.

Danxia Yu, Wei Zheng, Mattias Johansson, Qing Lan, Yikyung Park, Emily White, Charles E Matthews, Norie Sawada, Yu-Tang Gao, Kim Robien and 16 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 3 pooled it
2.8field-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

94 citing papers in PubMed, 3 syntheses or guidelines pooled it, 128 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Obesity Promotes Lung Carcinogenesis Through Airway Immune Dysfunction.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
    Article
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  9. Review
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  17. Observational
  18. Article
  19. Assessment of Adipokine and Inflammation Biomarkers with Cancer Risk among Chinese Men: A Prospective Cohort Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  20. Article

34 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 14 institutions in 8 countries.

Danxia YuVanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Wei ZhengVanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Mattias JohanssonGenetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France.
Qing LanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Yikyung ParkDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO.
Emily WhiteCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA.
Charles E MatthewsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Norie SawadaEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Yu-Tang GaoState Key Laboratory of Oncogene and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Kim RobienDepartment of Exercise and Nutrition Sciences, Milken Institute School of Public Health, George Washington University, Washington, DC.
Rashmi SinhaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Arnulf LanghammerDepartment of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway.
Rudolf KaaksDivision of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany.
Edward L GiovannucciDepartments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Linda M LiaoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Yong-Bing XiangState Key Laboratory of Oncogene and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
DeAnn LazovichDivision of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.
Ulrike PetersCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA.
Xuehong ZhangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Bas Bueno-de-MesquitaDepartment for Determinants of Chronic Diseases, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Walter C WillettDepartments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Shoichiro TsuganeEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Yumie TakataVanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Stephanie A Smith-WarnerDepartments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
William BlotVanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Xiao-Ou ShuVanderbilt Epidemiology Center, Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.
Vanderbilt University Medical Center · USBrigham and Women's Hospital · USDivision of Cancer Epidemiology and GeneticsFred Hutch Cancer Center · USHarvard University · USNational Cancer Institute · USState Key Laboratory of Oncogene and Related Genes · CNCentre international de recherche sur le cancer · FRGeorge Washington University · USHeidelberg University · DENorwegian University of Science and Technology · NOUniversity Medical Center Utrecht · NLUniversity of Minnesota · USWashington University in St. Louis · US

Funding

Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9M
Prospective Studies of Diet and Cancer in the AARP CohortZIACP010196 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2009 to 2025
$21.0M
Shanghai Womens Health StudyUM1CA182910 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2014 to 2018
$5.9M
Shanghai Men's Health StudyUM1CA173640 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHU, XIAO-OU · 2013 to 2017
$4.9M
Calcium intake and lung cancer: effect modification by sex and smoking statusR03CA183021 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHU, XIAO-OU · 2014 to 2015
$157k
NCI NIH HHS R03 CA183021NCI NIH HHS UM1 CA173640NCI NIH HHS UM1 CA182910NIDDK NIH HHS P30 DK058404World Health Organization 001
6 · The paper itself

Abstract

Background: The obesity-lung cancer association remains controversial. Concerns over confounding by smoking and reverse causation persist. The influence of obesity type and effect modifications by race/ethnicity and tumor histology are largely unexplored. Methods: We examined associations of body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR) with lung cancer risk among 1.6 million Americans, Europeans, and Asians. Cox proportional hazard regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) with adjustment for potential confounders. Analyses for WC/WHR were further adjusted for BMI. The joint effect of BMI and WC/WHR was also evaluated. Results: During an average 12-year follow-up, 23 732 incident lung cancer cases were identified. While BMI was generally associated with a decreased risk, WC and WHR were associated with increased risk after controlling for BMI. These associations were seen 10 years before diagnosis in smokers and never smokers, were strongest among blacks, and varied by histological type. After excluding the first five years of follow-up, hazard ratios per 5 kg/m2 increase in BMI were 0.95 (95% CI = 0.90 to 1.00), 0.92 (95% CI = 0.89 to 0.95), and 0.89 (95% CI = 0.86 to 0.91) in never, former, and current smokers, and 0.86 (95% CI = 0.84 to 0.89), 0.94 (95% CI = 0.90 to 0.99), and 1.09 (95% CI = 1.03 to 1.15) for adenocarcinoma, squamous cell, and small cell carcinoma, respectively. Hazard ratios per 10 cm increase in WC were 1.09 (95% CI = 1.00 to 1.18), 1.12 (95% CI = 1.07 to 1.17), and 1.11 (95% CI = 1.07 to 1.16) in never, former, and current smokers, and 1.06 (95% CI = 1.01 to 1.12), 1.20 (95% CI = 1.12 to 1.29), and 1.13 (95% CI = 1.04 to 1.23) for adenocarcinoma, squamous cell, and small cell carcinoma, respectively. Participants with BMIs of less than 25 kg/m2 but high WC had a 40% higher risk (HR = 1.40, 95% CI = 1.26 to 1.56) than those with BMIs of 25 kg/m2 or greater but normal/moderate WC. Conclusions: The inverse BMI-lung cancer association is not entirely due to smoking and reverse causation. Central obesity, particularly concurrent with low BMI, may help identify high-risk populations for lung cancer.

Indexed as

AdultAgedBody Mass IndexCohort StudiesFemaleHumansLung NeoplasmsMaleMiddle AgedObesityObesity, AbdominalRisk FactorsWaist CircumferenceWaist-Hip Ratio

Identifiers

PMID29518203
PMCPMC6093439
OpenAlexW2790980747

What OpenQuestion holds

Textmetadata
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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.