Evidence map›Paper›PMID 30487561›Full record

ReviewEuropean journal of clinical nutrition2019

Wine and Health-New Evidence.

Rachel Golan, Yftach Gepner, Iris Shai

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of clinical nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Nutrients · 2022
    Article
  18. Article
  19. Review
  20. Frontiers in genetics · 2022
    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

3 authors.

Rachel GolanBen-Gurion University of the Negev, Beer Sheva, Israel. golanra@bgu.ac.il.
Yftach GepnerBen-Gurion University of the Negev, Beer Sheva, Israel.
Iris ShaiBen-Gurion University of the Negev, Beer Sheva, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health benefits of moderate wine consumption have been studied during the past decades, first in observational studies and more recently, in experimental settings and randomized controlled studies. Suggested biological pathways include antioxidant, lipid regulating, and anti-inflammatory effects. Both the alcoholic and polyphenolic components of wine are believed to contribute to these beneficial effects. Although several of these studies demonstrated protective associations between moderate drinking and cardiovascular disease, atherosclerosis, hypertension, certain types of cancer, type 2 diabetes, neurological disorders, and the metabolic syndrome, no conclusive recommendations exist regarding moderate wine consumption. Yet, it is suggested that the physician and patient should discuss alcohol use. In the CASCADE (CArdiovaSCulAr Diabetes & Ethanol) trial, 224 abstainers with type 2 diabetes were randomized to consume red wine, white wine or mineral water for two years. Here, we summarize our previous findings, offer new evidence concerning the differential effects of wine consumption among men and women, and further suggest that initiating moderate alcohol consumption among well-controlled persons with type 2 diabetes is apparently safe, in regard to changes in heart rate variability and carotid plaque formation.

Indexed as

WineDiabetes Mellitus, Type 2Diet, MediterraneanFemaleHumansMaleRisk FactorsSex Factors

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.