Evidence map›Paper›PMID 30669279›Full record

ArticleMetabolites2019

A Metabolomic Study of the Variability of the Chemical Composition of Commonly Consumed Coffee Brews.

Joseph A Rothwell, Erikka Loftfield, Roland Wedekind, Neal Freedman, Callie Kambanis, Augustin Scalbert, Rashmi Sinha

Abstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

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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

7 authors.

Joseph A RothwellInternational Agency for Research on Cancer (IARC), Nutrition and Metabolism Section, Biomarkers Group, 150 Cours Albert Thomas, CEDEX 08, F-69372 Lyon, France. RothwellJ@fellows.iarc.fr.
Erikka LoftfieldNational Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, USA. erikka.loftfield@nih.gov.
Roland WedekindInternational Agency for Research on Cancer (IARC), Nutrition and Metabolism Section, Biomarkers Group, 150 Cours Albert Thomas, CEDEX 08, F-69372 Lyon, France. WedekindR@students.iarc.fr.
Neal FreedmanNational Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, USA. freedmanne@mail.nih.gov.
Callie KambanisNational Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, USA. calkam15@terpmail.umd.edu.
Augustin ScalbertInternational Agency for Research on Cancer (IARC), Nutrition and Metabolism Section, Biomarkers Group, 150 Cours Albert Thomas, CEDEX 08, F-69372 Lyon, France. scalberta@iarc.fr.ORCID 0000-0001-6651-6710
Rashmi SinhaNational Cancer Institute, 9609 Medical Center Drive, Bethesda, MD 20892, USA. sinhar@exchange.nih.gov.

Funding

Physical Activity, Energy Balance, and CancerZIACP010197 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBANES, DEMETRIUS · 2009 to 2025
$17.5M
World Health Organization 001
6 · The paper itself

Abstract

Coffee drinking has been associated with a lower risk of certain chronic diseases and overall mortality. Its effects on disease risk may vary according to the type of coffee brew consumed and its chemical composition. We characterized variations in the chemical profiles of 76 coffee brew samples representing different brew methods, roast levels, bean species, and caffeine types, either prepared or purchased from outlets in Rockville, Maryland, United States of America. Samples were profiled using liquid chromatography coupled with high-resolution mass spectrometry, and the main sources of chemical variability identified by the principal component partial R-square multivariable regression were found to be brew methods (R

Indexed as

bean varietybrew methodchemical compositioncoffeeroastuntargeted metabolomics

Identifiers

PMID30669279
PMCPMC6359601

What OpenQuestion holds

Textmetadata
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.