Evidence map›Paper›PMID 36907443›Full record

ArticleThe Journal of nutrition2023

Calcium Intake and Lung Cancer Risk: A Pooled Analysis of 12 Prospective Cohort Studies.

Yumie Takata, Jae Jeong Yang, Danxia Yu, Stephanie A Smith-Warner, William J Blot, Emily White, Kimberly Robien, Anna Prizment, Kana Wu, Norie Sawada and 17 more

Abstract read
In one paragraph

Article in The Journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Calcium channels as pharmacological targets for cancer therapy.Clinical and experimental medicine · 2025
    Review
  4. Review
  5. Article
  6. 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

27 authors.

Yumie TakataCollege of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States. Electronic address: yumie.takata@oregonstate.edu.
Jae Jeong YangVanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Danxia YuVanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Stephanie A Smith-WarnerDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
William J BlotVanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Emily WhiteCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, United States.
Kimberly RobienDepartment of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington, DC, United States.
Anna PrizmentDivision of Hematology, Oncology and Transplantation, Masonic Cancer Center, University of Minnesota, Minneapolis, MN, United States.
Kana WuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Norie SawadaDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan.
Qing LanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States.
Yikyung ParkDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, United States.
Yu-Tang GaoDepartment of Epidemiology, Cancer Institute of Shanghai Jiao Tong University, Shanghai, China.
Qiuyin CaiVanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Mingyang SongDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Xuehong ZhangDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States.
Kathy PanDepartment of Hematology/Oncology, Southern California Kaiser Permanente, Downey, CA, United States.
Antonio AgudoUnit of Nutrition and Cancer, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain; Nutrition and Cancer Group, Epidemiology, Public Health, Cancer Prevention and Palliative Care Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
Salvatore PanicoDepartment of Medicine and Surgery, Federico II University, Naples, Italy.
Linda M LiaoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States.
Shoichiro TsuganeDivision of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan; National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan.
Rowan T ChlebowskiLundquist Institute for Biomedical Innovation at Harbor-University of California, Los Angeles (UCLA) Medical Center, Torrance, CA, United States.
Therese Haugdahl NøstDepartment of Community Medicine, UiT The Arctic University of Norway, Tromsø, Norway.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany; Institute of Nutritional Science, University of Potsdam, Potsdam, Germany.
Mattias JohannsonGenetic Epidemiology Group, International Agency for Research on Cancer, Lyons, France.
Wei ZhengVanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.
Xiao-Ou ShuVanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, United States.

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Southern Community Cohort StudyU01CA202979 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., SHRUBSOLE, MARTHA J. · 2016 to 2025
$22.0M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
EPIDEMIOLOGY OF CANCER IN A COHORT OF OLDER WOMENR01CA039742 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI LAZOVICH, DEANN · 1985 to 2014
$8.0M
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 P01 CA087969NCI NIH HHS R01 CA039742NCI NIH HHS R03 CA183021NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA202979NCI NIH HHS UM1 CA173640NCI NIH HHS UM1 CA182910NCI NIH HHS UM1 CA186107World Health Organization 001
6 · The paper itself

Abstract

backgroundPrevious studies on calcium intake and lung cancer risk reported inconsistent associations, possibly due to the differences in intake amounts and contributing sources of calcium and smoking prevalence.

objectivesWe investigated the associations of lung cancer risk with intake of calcium from foods and/or supplements and major calcium-rich foods in 12 studies.

methodsData from 12 prospective cohort studies conducted in the United States, Europe, and Asia were pooled and harmonized. We applied the DRI to categorize calcium intake based on the recommendations and quintile distribution to categorize calcium-rich food intake. We ran multivariable Cox regression by each cohort and pooled risk estimates to compute overall HR (95% CI).

resultsAmong 1,624,244 adult men and women, 21,513 incident lung cancer cases were ascertained during a mean follow-up of 9.9 y. Overall, the dietary calcium intake was not significantly associated with lung cancer risk; the HRs (95% CI) were 1.08 (0.98-1.18) for higher (>1.5 RDA) and 1.01 (0.95-1.07) for lower intake (<0.5 RDA) comparing with recommended intake (EAR to RDA). Milk and soy food intake were positively or inversely associated with lung cancer risk [HR (95% CI) = 1.07 (1.02-1.12) and 0.92 (0.84-1.00)], respectively. The positive association with milk intake was significant only in European and North American studies (P-interaction for region = 0.04). No significant association was observed for calcium supplements.

conclusionsIn this largest prospective investigation, overall, calcium intake was not associated with risk of lung cancer, but milk intake was associated with a higher risk. Our findings underscore the importance of considering food sources of calcium in studies of calcium intake.

Indexed as

CalciumLung NeoplasmsAdultAnimalsCalcium, DietaryDairy ProductsFemaleHumansMaleMilkProspective StudiesRisk FactorsUnited StatesCalciumCalcium, Dietarycalciumdairy productsdietlung cancermilkpooled analysisprospective studiessoy productssupplements

Identifiers

PMID36907443
PMCPMC10447606

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Registered trials

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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.