Evidence map›Paper›PMID 27699514›Full record

SynthesisEuropean journal of epidemiology2016

Coffee consumption and risk of all-cause, cardiovascular, and cancer mortality in smokers and non-smokers: a dose-response meta-analysis.

Giuseppe Grosso, Agnieszka Micek, Justyna Godos, Salvatore Sciacca, Andrzej Pajak, Miguel A Martínez-González, Edward L Giovannucci, Fabio Galvano

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 9 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

78 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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

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

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

8 authors.

Giuseppe GrossoIntegrated Cancer Registry of Catania-Messina-Siracusa-Enna, Azienda Policlinico Universitaria "Vittorio Emanuele", Via S. Sofia 85, 95123, Catania, Italy. giuseppe.grosso@studium.unict.it.ORCID 0000-0003-3930-5285
Agnieszka MicekDepartment of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland.
Justyna GodosIntegrated Cancer Registry of Catania-Messina-Siracusa-Enna, Azienda Policlinico Universitaria "Vittorio Emanuele", Via S. Sofia 85, 95123, Catania, Italy.
Salvatore SciaccaIntegrated Cancer Registry of Catania-Messina-Siracusa-Enna, Azienda Policlinico Universitaria "Vittorio Emanuele", Via S. Sofia 85, 95123, Catania, Italy.
Andrzej PajakDepartment of Epidemiology and Population Studies, Jagiellonian University Medical College, Krakow, Poland.
Miguel A Martínez-GonzálezDepartment of Preventive Medicine & Public Health, School of Medicine, University of Navarra-IDISNA, Pamplona, Spain.
Edward L GiovannucciDepartment of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Fabio GalvanoDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coffee consumption has been associated with several benefits toward human health. However, its association with mortality risk has yielded contrasting results, including a non-linear relation to all-cause and cardiovascular disease (CVD) mortality and no association with cancer mortality. As smoking habits may affect the association between coffee and health outcomes, the aim of the present study was to update the latest dose-response meta-analysis of prospective cohort studies on the association between coffee consumption and mortality risk and conduct stratified analyses by smoking status and other potential confounders. A systematic search was conducted in electronic databases to identify relevant studies, risk estimates were retrieved from the studies, and dose-response analysis was modeled by using restricted cubic splines. A total of 31 studies comprising 1610,543 individuals and 183,991 cases of all-cause, 34,574 of CVD, and 40,991 of cancer deaths were selected. Analysis showed decreased all-cause [relative risk (RR) = 0.86, 95 % confidence interval (CI) = 0.82, 0.89)] and CVD mortality risk (RR = 0.85, 95 % CI = 0.77, 0.93) for consumption of up to 4 cups/day of coffee, while higher intakes were associated with no further lower risk. When analyses were restricted only to non-smokers, a linear decreased risk of all-cause (RR = 0.94, 95 % CI = 0.93, 0.96), CVD (RR = 0.94, 95 % CI = 0.91, 0.97), and cancer mortality (RR = 0.98, 95 % CI = 0.96, 1.00) for 1 cup/day increase was found. The search for other potential confounders, including dose-response analyses in subgroups by gender, geographical area, year of publication, and type of coffee, showed no relevant differences between strata. In conclusion, coffee consumption is associated with decreased risk of mortality from all-cause, CVD, and cancer; however, smoking modifies the observed risk when studying the role of coffee on human health.

Indexed as

CoffeeDrinking BehaviorCardiovascular DiseasesHumansNeoplasmsRiskRisk FactorsSmokersCoffeeCancerCardiovascular diseaseCoffeeMeta-analysisMortalityProspective cohortsSmoking

Identifiers

What OpenQuestion holds

Textmetadata
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.