Evidence map›Paper›PMID 30131059›Full record

SynthesisBMC medicine2018

Association of longitudinal alcohol consumption trajectories with coronary heart disease: a meta-analysis of six cohort studies using individual participant data.

Dara O'Neill, Annie Britton, Mary K Hannah, Marcel Goldberg, Diana Kuh, Kay Tee Khaw, Steven Bell

Registry-linked trialOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03133689 (Alcohol Consumption and Time-to-onset for Coronary Heart Disease), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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.

NCT03133689 completednot on this map

Alcohol Consumption and Time-to-onset for Coronary Heart Disease: An Individual Participant Data Meta-analysis

TypeobservationalSponsorUniversity College, LondonRan2017 to 2017Enrolled35,132ConditionsCoronary Heart Disease
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Review
  19. Article
  20. 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

7 authors at 5 institutions in 2 countries.

Dara O'NeillCLOSER, Department of Social Science, Institute of Education, University College London, London, UK. d.oneill@ucl.ac.uk.ORCID 0000-0002-8830-0264
Annie BrittonResearch Department of Epidemiology and Public Health, University College London, London, UK.
Mary K HannahMRC/CSO Social and Public Health Sciences Unit, Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Marcel GoldbergInserm UMS 011, Villejuif, France and Paris Descartes University, Villejuif, France.
Diana KuhResearch Department of Epidemiology and Public Health, University College London, London, UK.
Kay Tee KhawCambridge Institute of Public Health, University of Cambridge, Cambridge, UK.
Steven BellDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
University College London · GBUniversity of Cambridge · GBDélégation Paris 5 · FRMRC/CSO Social and Public Health Sciences Unit · GBMRC Unit for Lifelong Health and Ageing · GB

Funding

Socio-economic status and heterogeneity in agingR01AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G, SINGH-MANOUX, ARCHANA · 1996 to 2013
$3.5M
Socioeconomic gradient in CHD in early old ageR01HL036310 · NHLBI · UNIVERSITY OF LONDON · PI KIVIMAKI, MIKA J, MARMOT, MICHAEL G · 1986 to 2012
$3.1M
MARITAL ADAPTATION DURING RECOVERY FROM ALCOHOLISMR03AA006638 · NIAAA · UNIVERSITY OF WISCONSIN MILWAUKEE · PI CAPTAIN, CONSTANCE G · 1985 to 1985
–
Agence Française de Sécurité Sanitaire de l'Environnement et du Travail AFSSET-EST08-35Agence Nationale de la Recherche ANR-08-BLAN-0028-01Alcohol Research UK MR/M006638/1British Heart Foundation RG/13/13/30194British Heart Foundation RG/13/2/30098British Heart Foundation RG/16/11/32334Cancer Research UK 14136Cancer Research UK C864/A8257Chief Scientist Office SPHSU13European Research Council 309337European Research Council ERC-StG-2012-309337_AlcoholLifecourseMedical Research Council G0401527Medical Research Council G0401527, G1000143Medical Research Council G0902037Medical Research Council G1000143Medical Research Council MC_A540_53462, MC_UU_12017/13Medical Research Council MC_UU_12017/13Medical Research Council MR/K013351/1Medical Research Council MR/K013351/1, G0902037Medical Research Council MR/L003120/1Medical Research Council MR/M006638/1Medical Research Council MR/N003284/1Medical Research Council MR/R024227/1Medical Research Council MR_UC_12019/01NHLBI NIH HHS R01 HL036310NIA NIH HHS R01 AG013196NIH HHS R01HL36310, R01AG013196
6 · The paper itself

Abstract

backgroundStudies have shown that alcohol intake trajectories differ in their associations with biomarkers of cardiovascular functioning, but it remains unclear if they also differ in their relationship to actual coronary heart disease (CHD) incidence. Using multiple longitudinal cohort studies, we evaluated the association between long-term alcohol consumption trajectories and CHD.

methodsData were drawn from six cohorts (five British and one French). The combined analytic sample comprised 35,132 individuals (62.1% male; individual cohorts ranging from 869 to 14,247 participants) of whom 4.9% experienced an incident (fatal or non-fatal) CHD event. Alcohol intake across three assessment periods of each cohort was used to determine participants' intake trajectories over approximately 10 years. Time to onset for (i) incident CHD and (ii) fatal CHD was established using surveys and linked medical record data. A meta-analysis of individual participant data was employed to estimate the intake trajectories' association with CHD onset, adjusting for demographic and clinical characteristics.

resultsCompared to consistently moderate drinkers (males: 1-168 g ethanol/week; females: 1-112 g ethanol/week), inconsistently moderate drinkers had a significantly greater risk of incident CHD [hazard ratio (HR) = 1.18, 95% confidence interval (CI) = 1.02-1.37]. An elevated risk of incident CHD was also found for former drinkers (HR = 1.31, 95% CI = 1.13-1.52) and consistent non-drinkers (HR = 1.47, 95% CI = 1.21-1.78), although, after sex stratification, the latter effect was only evident for females. When examining fatal CHD outcomes alone, only former drinkers had a significantly elevated risk, though hazard ratios for consistent non-drinkers were near identical. No evidence of elevated CHD risk was found for consistently heavy drinkers, and a weak association with fatal CHD for inconsistently heavy drinkers was attenuated following adjustment for confounding factors.

conclusionsUsing prospectively recorded alcohol data, this study has shown how instability in drinking behaviours over time is associated with risk of CHD. As well as individuals who abstain from drinking (long term or more recently), those who are inconsistently moderate in their alcohol intake have a higher risk of experiencing CHD. This finding suggests that policies and interventions specifically encouraging consistency in adherence to lower-risk drinking guidelines could have public health benefits in reducing the population burden of CHD. The absence of an effect amongst heavy drinkers should be interpreted with caution given the known wider health risks associated with such intake.

trial registrationClinicalTrials.gov, NCT03133689 .

Indexed as

AdultAgedAged, 80 and overAlcohol DrinkingCohort StudiesCoronary DiseaseDisease ProgressionFemaleFranceHumansIncidenceLongitudinal StudiesMaleMiddle AgedMyocardial InfarctionRisk FactorsAlcoholCoronary heart diseaseIPD meta-analysisLongitudinal design

Identifiers

PMID30131059
PMCPMC6103865
OpenAlexW2883506277

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.