Evidence map›Paper›PMID 31444178›Full record

ArticleBMJ open2019

Association between educational level and total and cause-specific mortality: a pooled analysis of over 694 000 individuals in the Asia Cohort Consortium.

Keming Yang, Ying Zhang, Eiko Saito, Md Shafiur Rahman, Prakash Chandra Gupta, Norie Sawada, Akiko Tamakoshi, Yu-Tang Gao, Woon-Puay Koh, Xiao-Ou Shu and 28 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
7.6field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Association between metabolic syndrome and gastric cancer risk: results from the Health Examinees Study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023
    Article
  7. Article
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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

38 authors at 20 institutions in 8 countries.

Keming YangDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA.
Ying ZhangDepartment of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Eiko SaitoDivision of Cancer Statistics Integration, Center for Cancer Control and Information Services, National Cancer Center, Tokyo, Japan.
Md Shafiur RahmanDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Prakash Chandra GuptaHealis - Sekhsaria Institute for Public Health, Navi Mumbai, India.
Norie SawadaEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Akiko TamakoshiFaculty of Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.
Yu-Tang GaoState Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Woon-Puay KohHealth Services and Systems Research, Duke-NUS Medical School, Singapore.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Ichiro TsujiTohoku University Graduate School of Medicine, Sendai, Japan.
Atsuko SadakaneDepartment of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan.
Chisato NagataDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan.
San-Lin YouSchool of Medicine, Big Data Research Centre, Fu-Jen Catholic University, Taipei, Taiwan.
Jian-Min YuanDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Myung-Hee ShinDepartment of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, The Republic of Korea.
Yu ChenDepartment of Population Health, Department of Environmental Medicine, New York University School of Medicine, New York City, New York, USA.
Wen-Harn PanInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan.
Mangesh S PednekarHealis - Sekhsaria Institute for Public Health, Navi Mumbai, India.
Shoichiro TsuganeEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.
Hui CaiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Yong-Bing XiangState Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Kotaro OzasaDepartment of Epidemiology, Radiation Effects Research Foundation, Hiroshima, Japan.
Yasutake TomataTohoku University Graduate School of Medicine, Sendai, Japan.ORCID 0000-0003-4189-5245
Seiki KanemuraTohoku University Graduate School of Medicine, Sendai, Japan.
Yumi SugawaraTohoku University Graduate School of Medicine, Sendai, Japan.
Keiko WadaDepartment of Epidemiology and Preventive Medicine, Gifu University Graduate School of Medicine, Gifu, Japan.
Renwei WangDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Yoon-Ok AhnDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, The Republic of Korea.
Keun-Young YooArmed Forces Capital Hospital, Seoul National University College of Medicine, Seoul, The Republic of Korea.
Habibul AhsanDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA.
Kee Seng ChiaEpidemiology Program, Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Paolo BoffettaIcahn School of Medicine at Mount Sinai, New York, New York, USA.
Daehee KangDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, The Republic of Korea.
John D PotterCentre for Public Health Research, Massey University, Wellington, New Zealand.
Manami InoueEpidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan.ORCID 0000-0003-1276-2398
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Hongmei NanDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA hnan@iu.edu.
Tohoku University · JPSeoul National University · KRVanderbilt University Medical Center · USGifu University · JPHealis Sekhsaria Institute For Public Health · INIndiana University – Purdue University Indianapolis · USRadiation Effects Research Foundation · JPRenji Hospital · CNUPMC Hillman Cancer Center · USChicago Department of Public Health · USDuke-NUS Medical School · SGFu Jen Catholic University · TWHokkaido University · JPIcahn School of Medicine at Mount Sinai · USInstitute of Biomedical Sciences, Academia Sinica · TWMassey University · NZNational University of Singapore · SGNew York University · USSungkyunkwan University · KRThe University of Tokyo · JP

Funding

Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
Chemoprevention of arsenic-induced skin cancerR01CA107431 · NCI · UNIVERSITY OF CHICAGO · PI AHSAN, HABIBUL · 2005 to 2014
$17.3M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MILDA Renne SAUNDERS · 2011 to 2026
$10.0M
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
Cohort Study of Cancer inhibitory Factors in MenR01CA082729 · NCI · VANDERBILT UNIVERSITY · PI SHU, XIAO-OU · 2001 to 2011
$6.3M
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
Cancer Risk Reduction and Diet: A Cohort Study of WomenR37CA070867 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2009 to 2013
$4.7M
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
Genetic Susceptibility to Arsenic-induced Skin CancerR01CA102484 · NCI · UNIVERSITY OF CHICAGO · PI AHSAN, HABIBUL · 2004 to 2008
$2.0M
Enhancement and Maintenance of the HEALS cohortR24ES028532 · NIEHS · UNIVERSITY OF CHICAGO · PI AHSAN, HABIBUL · 2017 to 2022
$1.7M
NCI NIH HHS R01 CA082729NCI NIH HHS R01 CA102484NCI NIH HHS R01 CA107431NCI NIH HHS R01 CA144034NCI NIH HHS R37 CA070867NCI NIH HHS UM1 CA173640NCI NIH HHS UM1 CA182876NCI NIH HHS UM1 CA182910NIDDK NIH HHS P30 DK092949NIEHS NIH HHS P42 ES010349
6 · The paper itself

Abstract

objectiveTo study the association of educational level and risk of death from all causes, cardiovascular disease (CVD) and cancer among Asian populations.

designA pooled analysis of 15 population-based cohort studies. SETTING AND

participants694 434 Asian individuals from 15 prospective cohorts within the Asia Cohort Consortium.

interventionsNone.

main outcome measuresHRs and 95% CIs for all-cause mortality, as well as for CVD-specific mortality and cancer-specific mortality.

resultsA total of 694 434 participants (mean age at baseline=53.2 years) were included in the analysis. During a mean follow-up period of 12.5 years, 103 023 deaths were observed, among which 33 939 were due to cancer and 34 645 were due to CVD. Higher educational levels were significantly associated with lower risk of death from all causes compared with a low educational level (≤primary education); HRs and 95% CIs for secondary education, trade/technical education and ≥university education were 0.88 (0.85 to 0.92), 0.81 (0.73 to 0.90) and 0.71 (0.63 to 0.80), respectively (p

conclusionHigher educational level was associated with substantially lower risk of death among Asian populations.

Indexed as

Cause of DeathEducational StatusAsiaCardiovascular DiseasesCohort StudiesCorrelation of DataFemaleHumansMaleMiddle AgedMortalityNeoplasmsProspective StudiesRisk FactorsAsiacancercardiovasculareducationmortality

Identifiers

PMID31444178
PMCPMC6707688
OpenAlexW2969719231

What OpenQuestion holds

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LicenceCC BY-NC
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.