Evidence map›Paper›PMID 29571833›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2018

Coffee Consumption and Incident Kidney Disease: Results From the Atherosclerosis Risk in Communities (ARIC) Study.

Emily A Hu, Elizabeth Selvin, Morgan E Grams, Lyn M Steffen, Josef Coresh, Casey M Rebholz

Open access · greenAbstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Novel Dietary Inflammatory Score and Risk of Incident CKD.Clinical journal of the American Society of Nephrology : CJASN · 2025
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  17. Adenosine ABritish journal of pharmacology · 2022
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Emily A HuWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Elizabeth SelvinWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Morgan E GramsWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD; Division of Nephrology, Johns Hopkins University School of Medicine, Baltimore, MD.
Lyn M SteffenDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN.
Josef CoreshWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Casey M RebholzWelch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. Electronic address: crebhol1@jhu.edu.
Johns Hopkins University · USJohns Hopkins Medicine · USUniversity of Minnesota · US

Funding

CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
Diabetes and Prediabetes in Older Adults in ARICR01DK089174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2011 to 2020
$6.4M
Metabolomics for Identifying Biomarkers of Dietary Intake & Kidney Disease ProgressionK01DK107782 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI REBHOLZ, CASEY MARIE · 2016 to 2020
$778k
Research and Mentoring in the Clinical Epidemiology of Type 2 DiabetesK24DK106414 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2015 to 2019
$654k
NHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005INHLBI NIH HHS T32 HL007024NIDDK NIH HHS K01 DK107782NIDDK NIH HHS K24 DK106414NIDDK NIH HHS R01 DK089174
6 · The paper itself

Abstract

backgroundModerate coffee consumption has been suggested to be associated with lower risk for chronic conditions such as diabetes, a major precursor to chronic kidney disease (CKD). However, the association between coffee and CKD has not been fully established. STUDY 

designProspective cohort study. SETTING &

participants14,209 participants aged 45 to 64 years from the Atherosclerosis Risk in Communities (ARIC) Study. PREDICTORS: Coffee consumption (cups per day) was assessed at visits 1 (1987-1989) and 3 (1993-1995) using food frequency questionnaires. OUTCOMES: Incident CKD defined as estimated glomerular filtration rate < 60mL/min/1.73m

resultsThere were 3,845 cases of incident CKD over a median of 24 years of follow-up. Men, whites, current smokers, and participants without comorbid conditions were more likely to consume higher amounts of coffee per day. After adjustment for demographic, clinical, and dietary factors, higher categories of coffee consumption were associated with lower risk for incident CKD compared with those who never consumed coffee (HR for <1 cup per day, 0.90 [95% CI, 0.82-0.99]; 1-<2 cups per day, 0.90 [95% CI, 0.82-0.99]; 2-<3 cups per day, 0.87 [95% CI, 0.77-0.97]; and ≥3 cups per day, 0.84 [95% CI, 0.75-0.94]). In continuous analysis, for each additional cup of coffee consumed per day, risk for incident CKD was lower by 3% (HR, 0.97; 95% CI, 0.95-0.99; P<0.001). LIMITATIONS: Self-reported coffee consumption and observational design.

conclusionsParticipants who drank higher amounts of coffee had lower risk for incident CKD after adjusting for covariates. Coffee consumers may not be at adverse risk for kidney disease.

Indexed as

CoffeeResidence CharacteristicsAtherosclerosisCohort StudiesFemaleFollow-Up StudiesGlomerular Filtration RateHumansIncidenceMaleMiddle AgedProspective StudiesRenal Insufficiency, ChronicRisk FactorsCoffeebeverageschronic kidney disease (CKD)Coffeedietincident CKDkidney failuremodifiable risk factor

Identifiers

PMID29571833
PMCPMC6057809
OpenAlexW2793480247

What OpenQuestion holds

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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.