Evidence map›Paper›PMID 31161762›Full record

ArticleJournal of stroke2019

Family History, Tobacco Smoking, and Risk of Ischemic Stroke.

Mengyu Fan, Jun Lv, Canqing Yu, Yu Guo, Zheng Bian, Songchun Yang, Ling Yang, Yiping Chen, Feifei Li, Yaoming Zhai and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of stroke, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. China stroke surveillance report 2021.Military Medical Research · 2023
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. 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

16 authors at 7 institutions in 3 countries.

Mengyu FanDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Yu GuoChinese Academy of Medical Sciences, Beijing, China.
Zheng BianChinese Academy of Medical Sciences, Beijing, China.
Songchun YangDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Ling YangClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yiping ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Feifei LiNCDs Prevention and Control Department, Qingdao Centers for Disease Control, Qingdao, China.
Yaoming ZhaiNCDs Prevention and Control Department, Qingdao Centers for Disease Control, Qingdao, China.
Ping WangNCDs Prevention and Control Department, Liuzhou Centers for Disease Control, Liuzhou, China.
Junshi ChenChina National Center for Food Safety Risk Assessment, Beijing, China.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Lu QiDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
China Kadoorie Biobank Collaborative GroupDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
Peking University · CNUniversity of Oxford · GBChinese Academy of Medical Sciences & Peking Union Medical College · CNQingdao Municipal Center for Disease Control and Prevention · CNChina National Center for Food Safety Risk Assessment · CNLiu Zhou Center for Disease Prevention and Control · CNTulane University · US

Funding

RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Nutrigenetics and Nutrigenomics for Precision Weight-Loss Diet InterventionsR01DK115679 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI Lu Qi · 2018 to 2026
$5.3M
Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
Genetic Markers of CHD in Type 2 DiabetesR01HL071981 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI QI, LU · 2003 to 2012
$4.9M
Obesity Genes, Energy Regulation in Response to Weight-Loss DietsR01DK091718 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2012 to 2021
$4.5M
Weight-Loss Diet Intervention on Cardiometabolic Factors of Gut MicrobiotaR01DK100383 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2014 to 2024
$4.2M
TOPMed Omics of Type 2 Diabetes and Quantitative TraitsUM1DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MANNING, ALISA KNODLE · 2021 to 2025
$3.8M
Rare Sequence Variation and Diabetes Quantitative TraitsU01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2015 to 2019
$3.6M
Genome-wide interactions with diet patterns on long-term weight changeR21HL126024 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2015 to 2016
$421k
Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2NHLBI NIH HHS HL034594NHLBI NIH HHS HL071981NHLBI NIH HHS HL126024NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL071981NHLBI NIH HHS R21 HL126024NIDCR NIH HHS DK078616NIDCR NIH HHS DK091718NIDCR NIH HHS DK100383NIDCR NIH HHS DK115679NIDDK NIH HHS R01 DK078616NIDDK NIH HHS R01 DK091718NIDDK NIH HHS R01 DK100383NIDDK NIH HHS R01 DK115679NIDDK NIH HHS U01 DK078616NIDDK NIH HHS UM1 DK078616Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

background and purposeBoth genetic factors and smoking are associated with ischemic stroke (IS) risk. However, little is known about the potential interaction of these factors. We aimed to assess whether smoking and a positive family history interact to increase the risk of IS.

methodsThe nationwide prospective study recruited 210,000 men and 300,000 women in 2004 to 2008 at ages 30 to 79 years. During 9.7 years of follow-up, we documented 16,923 and 20,656 incident IS cases in men and women without major chronic diseases at baseline, respectively. Multivariable Cox regression models were used to examine associations between family history and IS. Likelihood ratio tests were used to test the smoking-family history interactions on IS.

resultsAbout 67.8% (n=135,168) of men ever smoked regularly compared with 2.7% (n=7,775) of women. Among men, a significant interaction between family history and smoking on IS was observed (P for interaction=0.03), with more pronounced association between family history and IS among ever-regular smokers (hazard ratio [HR], 1.21; 95% confidence interval [CI], 1.16 to 1.27) than among never-smokers (HR, 1.11; 95% CI, 1.01 to 1.23). The association between family history and IS among ex-smokers after more than 10 years of cessation (HR, 1.01; 95% CI, 0.85 to 1.20) appeared similar to that among never-smokers. Among women, a similar but not significant interaction between family history and smoking on IS was observed. Ever-regular smokers who had a family history of stroke had the highest risk of IS.

conclusionsAmong Chinese men, the association of family history with IS was accentuated by smoking, and such accentuation tended to be lowered by cessation.

Indexed as

Cohort studiesFamily healthGene-environment interactionSmokingStroke

Identifiers

PMID31161762
PMCPMC6549063
OpenAlexW2948327108

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.