Evidence map›Paper›PMID 27891166›Full record

ArticleNutrition & metabolism2016

Relation of 24-hour urinary caffeine and caffeine metabolite excretions with self-reported consumption of coffee and other caffeinated beverages in the general population.

Dusan Petrovic, Sandrine Estoppey Younes, Menno Pruijm, Belén Ponte, Daniel Ackermann, Georg Ehret, Nicolas Ansermot, Markus Mohaupt, Fred Paccaud, Bruno Vogt and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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.

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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  13. Suspect screening of exogenous compounds using multiple reaction screening (MRM) profiling in human urine samples.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2022
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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

16 authors at 4 institutions in 1 country.

Dusan PetrovicInstitute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, Lausanne, 1010 Switzerland.
Sandrine Estoppey YounesInstitute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, Lausanne, 1010 Switzerland.
Menno PruijmDepartment of Nephrology and Hypertension, Lausanne University Hospital, Rue du Bugnon 17, Lausanne, 1011 Switzerland.
Belén PonteDepartment of Nephrology and Hypertension, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, Geneva, 1205 Switzerland.
Daniel AckermannUniversity Clinic for Nephrology, Hypertension and Clinical Pharmacology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 15, Bern, 3010 Switzerland.
Georg EhretDepartment of Cardiology, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, Geneva, 1205 Switzerland.
Nicolas AnsermotUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, 1008 Switzerland.
Markus MohauptDepartment of Nephrology and Hypertension, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, Geneva, 1205 Switzerland.
Fred PaccaudInstitute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, Lausanne, 1010 Switzerland.
Bruno VogtUniversity Clinic for Nephrology, Hypertension and Clinical Pharmacology, Inselspital, Bern University Hospital, University of Bern, Freiburgstrasse 15, Bern, 3010 Switzerland.
Antoinette Pechère-BertschiDepartment of Nephrology and Hypertension, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, Geneva, 1205 Switzerland.
Pierre-Yves MartinDepartment of Nephrology and Hypertension, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, Geneva, 1205 Switzerland.
Michel BurnierDepartment of Nephrology and Hypertension, Lausanne University Hospital, Rue du Bugnon 17, Lausanne, 1011 Switzerland.
Chin B EapUnit of Pharmacogenetics and Clinical Psychopharmacology, Centre for Psychiatric Neuroscience, Department of Psychiatry, Lausanne University Hospital, Prilly, 1008 Switzerland ; School of Pharmaceutical Sciences, University of Geneva, University of Lausanne, Geneva, Switzerland.
Murielle BochudInstitute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, Lausanne, 1010 Switzerland.
Idris GuessousInstitute of Social and Preventive Medicine (IUMSP), Lausanne University Hospital, Route de la corniche 10, Lausanne, 1010 Switzerland ; Unit of Population Epidemiology, Division of Primary Care Medicine, Department of Community Medicine and Primary Care and Emergency Medicine, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, Geneva, 1205 Switzerland ; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA ; Lausanne University Outpatient Clinic, Rue du Bugnon 44, Lausanne, 1011 Switzerland ; Unit of Population Epidemiology, University Hospital of Geneva (HUG), Rue Gabrielle Perret-Gentil 4, Geneva, 1205 Switzerland.
University Hospital of Geneva · CHInstitute of Social and Preventive Medicine · CHUniversity Hospital of Bern · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCaffeine intake is generally estimated by self-reported consumption, but it remains unclear how well self-report associates with metabolite urinary excretion. We investigated the associations of self-reported consumption of caffeinated drinks with urinary excretion of caffeine and its major metabolites in an adult population.

methodsWe used data from the population-based Swiss Kidney Project on Genes in Hypertension (SKIPOGH) study. Consumption of caffeinated coffee, decaffeinated coffee and other caffeinated beverages was assessed by self-administered questionnaire. Quantification of caffeine, paraxanthine, theobromine and theophylline was performed by ultra-high performance liquid chromatography tandem mass spectrometry in 24-h urine. Association of reported consumption of caffeinated drinks with urinary caffeine derived metabolites was determined by quantile regression. We then explored the association between urinary metabolite excretion and dichotomized weekly consumption frequency of caffeinated coffee, with Receiver Operator Characteristic (ROC) analysis.

resultsIn the present analysis, we included 598 individuals (52% women, mean age =46 ± 17 years). Self-reported caffeinated coffee intake was positively associated with 24-h urinary excretions of paraxanthine, theophylline and caffeine (

conclusionOur results suggest that reported consumption of caffeinated coffee is positively associated with 24-h urinary excretion of caffeine, paraxanthine, and theophylline, and may be used as a marker of caffeine intake for epidemiological studies.

Indexed as

CaffeineParaxanthinePopulation-basedQuestionnaireTheophyllineUrinary excretion

Identifiers

PMID27891166
PMCPMC5112879
OpenAlexW2551590311

What OpenQuestion holds

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Registered trials

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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.