Evidence map›Paper›PMID 36947466›Full record

Trial reportThe New England journal of medicine2023

Acute Effects of Coffee Consumption on Health among Ambulatory Adults.

Gregory M Marcus, David G Rosenthal, Gregory Nah, Eric Vittinghoff, Christina Fang, Kelsey Ogomori, Sean Joyce, Defne Yilmaz, Vivian Yang, Tara Kessedjian and 5 more

3 registry-linked trialsOpen access · bronzeAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in The New England journal of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
14.8field-weighted citation impact, top 1% 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.

NCT03671759 nacompletednot on this map

Coffee and Real-time Atrial and Ventricular Ectopy

TypeinterventionalSponsorUniversity of California, San FranciscoRan2019 to 2020Enrolled108ConditionsPremature Atrial Contractions, Premature Ventricular ContractionsArmsStart: On Caffeine, Start: Off Caffeine
NCT06021613 nacompletednot on this mapstarted 2024, after this paper: background citation

Marijuana and Acute Risk of Arrhythmia- Joint Abstinence and Exposure

TypeinterventionalSponsorUniversity of California, San FranciscoRan2024 to 2025Enrolled108ConditionsPremature Atrial Contractions, Premature Ventricular ContractionsArmsRandomized instructions
NCT06976502 enrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Health eHeart BioBank

Typeobservational_patient_registrySponsorUniversity of California, San FranciscoRan2025 to 2035Enrolled500,000ConditionsHeart Diseases, Cardiac Diseases, Vascular Diseases, Cardiovascular DiseasesArmsBlood Draw, Tissue Collection, DNA Collection, Medical Chart Review
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 61 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. No DECAF Coffee for Me, Please!European cardiology · 2026
    Review
  12. Dependence of premature ventricular complexes on heart rate-it's not that simple.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Observational
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Gregory M MarcusFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
David G RosenthalFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Gregory NahFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Eric VittinghoffFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Christina FangFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Kelsey OgomoriFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Sean JoyceFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Defne YilmazFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Vivian YangFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Tara KessedjianFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Emily WilsonFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Michelle YangFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Kathleen ChangFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Grace WallFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Jeffrey E OlginFrom the Division of Cardiology (G.M.M., G.N., E.W., M.Y., K.C., G.W., J.E.O.), the Department of Epidemiology and Biostatistics (E.V.), and the School of Medicine (K.O., S.J., V.Y.), University of California, San Francisco, San Francisco, the University of California, Irvine, School of Medicine, Irvine (C.F.); and the University of California, Berkeley, Berkeley (D.Y., T.J.).
Indiana University School of MedicineUniversity of California, Berkeley · USUniversity of California, San Francisco · US

Funding

MOLECULAR AND CELLULAR BASIS OF CARDIOVASCULAR DISEASET32HL007731 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Brian L Black · 1992 to 2026
$12.4M
The Health ePeople Resource for Mobilized ResearchU2CEB021881 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARCUS, GREGORY M, OLGIN, JEFFREY E · 2015 to 2020
$10.3M
NHLBI NIH HHS 2T32HL007731-26NIBIB NIH HHS IU2CEB021881-01NIBIB NIH HHS U2C EB021881University of California, San Francisco
6 · The paper itself

Abstract

backgroundCoffee is one of the most commonly consumed beverages in the world, but the acute health effects of coffee consumption remain uncertain.

methodsWe conducted a prospective, randomized, case-crossover trial to examine the effects of caffeinated coffee on cardiac ectopy and arrhythmias, daily step counts, sleep minutes, and serum glucose levels. A total of 100 adults were fitted with a continuously recording electrocardiogram device, a wrist-worn accelerometer, and a continuous glucose monitor. Participants downloaded a smartphone application to collect geolocation data. We used daily text messages, sent over a period of 14 days, to randomly instruct participants to consume caffeinated coffee or avoid caffeine. The primary outcome was the mean number of daily premature atrial contractions. Adherence to the randomization assignment was assessed with the use of real-time indicators recorded by the participants, daily surveys, reimbursements for date-stamped receipts for coffee purchases, and virtual monitoring (geofencing) of coffee-shop visits.

resultsThe mean (±SD) age of the participants was 39±13 years; 51% were women, and 51% were non-Hispanic White. Adherence to the random assignments was assessed to be high. The consumption of caffeinated coffee was associated with 58 daily premature atrial contractions as compared with 53 daily events on days when caffeine was avoided (rate ratio, 1.09; 95% confidence interval [CI], 0.98 to 1.20; P = 0.10). The consumption of caffeinated coffee as compared with no caffeine consumption was associated with 154 and 102 daily premature ventricular contractions, respectively (rate ratio, 1.51; 95% CI, 1.18 to 1.94); 10,646 and 9665 daily steps (mean difference, 1058; 95% CI, 441 to 1675); 397 and 432 minutes of nightly sleep (mean difference, 36; 95% CI, 25 to 47); and serum glucose levels of 95 mg per deciliter and 96 mg per deciliter (mean difference, -0.41; 95% CI, -5.42 to 4.60).

conclusionsIn this randomized trial, the consumption of caffeinated coffee did not result in significantly more daily premature atrial contractions than the avoidance of caffeine. (Funded by the University of California, San Francisco, and the National Institutes of Health; CRAVE ClinicalTrials.gov number, NCT03671759.).

Indexed as

Atrial Premature ComplexesBlood GlucoseCaffeineCoffeeSleep DurationWalkingAccelerometryAdultBlood Glucose Self-MonitoringCross-Over StudiesDrinkingElectrocardiography, AmbulatoryFemaleGlucoseHumansMaleBlood GlucoseCaffeineCoffeeGlucose

Identifiers

PMID36947466
PMCPMC10167887
OpenAlexW4353015408

What OpenQuestion holds

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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.