Evidence map›Paper›PMID 36995515›Full record

ReviewPharmaceutical medicine2023

Effect of Caffeine Consumption on Cardiovascular Disease: An Updated Review.

Sajad Khiali, Amin Agabalazadeh, Hadi Sahrai, Hossein Bannazadeh Baghi, Gholamreza Rahbari Banaeian, Taher Entezari-Maleki

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Pharmaceutical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06359197 (Feasibility Study for Investigating the Effect of Caffeine Consumption on Protein Biomarkers Related to Cardiovascular Disease), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 9% 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.

NCT06359197 early_phase1unknown statusnot on this mapstarted 2024, after this paper: background citation

Feasibility Study for Investigating the Effect of Caffeine Consumption on Protein Biomarkers Related to Cardiovascular Disease

TypeinterventionalSponsorHamilton Health Sciences CorporationRan2024 to 2025Enrolled36ConditionsHealthyArmsCaffeine Pill, Placebo, TASSO+ Device, Finger prick and collection on Whatman Protein 903 Saver Cards, Intravenous Sampling
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Review
  7. Machine learning-driven risk assessment of coronary heart disease: Analysis of NHANES data from 1999 to 2018.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Article
  8. Review
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

6 authors at 2 institutions in 1 country.

Sajad KhialiDepartment of Clinical Pharmacy, Faculty of Pharmacy, Tabriz University of Medical Sciences, Daneshgah St, Tabriz, Iran.ORCID 0000-0002-2476-4430
Amin AgabalazadehDepartment of Clinical Pharmacy, Faculty of Pharmacy, Tabriz University of Medical Sciences, Daneshgah St, Tabriz, Iran.
Hadi SahraiStudent Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran.
Hossein Bannazadeh BaghiInfectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID 0000-0002-2513-5361
Gholamreza Rahbari BanaeianDepartment of Pediatrics, Faculty of Medicine, Tabriz Medical Sciences, Islamic Azad University, Tabriz, Iran.
Taher Entezari-MalekiDepartment of Clinical Pharmacy, Faculty of Pharmacy, Tabriz University of Medical Sciences, Daneshgah St, Tabriz, Iran. tentezari@gmail.com.ORCID 0000-0003-3653-3653
Tabriz University of Medical Sciences · IRIslamic Azad University of Tabriz · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The incidence of cardiovascular diseases has significantly increased with the expansion of the industrialization of societies, which is notably linked to lifestyle changes and an unhealthy diet. Hence, determining the healthiest diet habits and supplements seems to be an appropriate way to decrease the global burden of cardiovascular diseases. Currently, caffeine, one of the most widely consumed compounds in the world, has emerged with some promising results in the treatment of numerous pathophysiological conditions of cardiovascular diseases. A literature search was conducted in PubMed, Scopus, Science Direct, Google Scholar, and Web of Science databases for the relevant articles regarding the pharmacology, preclinical, and clinical studies on the potential effects of caffeine on cardiovascular diseases. While caffeine could improve cardiovascular outcomes through several mechanisms of action, the literature review revealed controversial clinical effects of caffeine on blood pressure, cardiac arrhythmias, acute coronary syndrome, stable angina, and heart failure. In the case of dyslipidemia, coffee consumption increased total cholesterol, triglyceride, and low-density lipoprotein. Taken together, the existence of multiple confounding factors in the caffeine studies has resulted in inconclusive data interpretation. Further well-designed studies with adequate control of the confounding factors are warranted to draw a clear conclusion on the cardiovascular efficacy and safety of caffeine.

Indexed as

CaffeineCardiovascular DiseasesBlood PressureCoffeeHumansCaffeineCoffee

Identifiers

PMID36995515
OpenAlexW4361273826

What OpenQuestion holds

Textmetadata
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.