Evidence map›Paper›PMID 38425440›Full record

ReviewCurrent developments in nutrition2024

Long-Term Consumption of 6 Different Beverages and Cardiovascular Disease-Related Mortality: A Systematic Review and Meta-Analysis of Prospective Cohort Studies.

Buna Bhandari, Ling Zeng, Sara Grafenauer, Aletta E Schutte, Xiaoyue Xu

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current developments in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  7. Review
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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

5 authors.

Buna BhandariCentral Department of Public Health, Tribhuvan University Institute of Medicine, Kathmandu, Nepal.
Ling ZengSchool of Population Health, University of New South Wales, Sydney, New South Wales, Australia.
Sara GrafenauerSchool of Health Sciences, University of New South Wales, Sydney, New South Wales, Australia.
Aletta E SchutteSchool of Population Health, University of New South Wales, Sydney, New South Wales, Australia.
Xiaoyue XuSchool of Population Health, University of New South Wales, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between beverage consumption and risk of cardiovascular disease has been extensively examined in cross-sectional studies. However, limited studies have investigated beverage consumption as a longer-term habitual behavior, which is important owing to potential cumulative harmful or beneficial cardiovascular effects. We examined the association between the long-term consumption of 6 types of beverages (sugar-sweetened or artificially sweetened beverages, tea, coffee, fruit juice, energy drinks, and alcohol) and cardiovascular mortality, by considering sex differences. We conducted a systematic search of MEDLINE, EMBASE, CINAHL, Web of Science, and Scopus databases from 2010 to December 2023. Of 8049 studies identified, 20 studies were included for meta-analysis. Summary hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated with the use of a random-effects model. We found that long-term coffee consumption was related to reduced cardiovascular disease-related mortality in males (pooled HR: 0.63; 95% CI: 0.46, 0.87;

Indexed as

alcoholbeverages consumptioncardiovascular mortalitycoffeeenergy drinksfruit juicelong-termmeta-analysissugar-sweetened beveragestea

Identifiers

PMID38425440
PMCPMC10904171

What OpenQuestion holds

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LicenceCC BY
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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.