Evidence map›Paper›PMID 30591038›Full record

ArticleBMC nephrology2018

Relationship between caffeine intake and autosomal dominant polycystic kidney disease progression: a retrospective analysis using the CRISP cohort.

Katelyn A McKenzie, Mirelle El Ters, Vicente E Torres, Peter C Harris, Arlene B Chapman, Michal Mrug, Frederic F Rahbari-Oskoui, Kyongtae Ty Bae, Douglas P Landsittel, William M Bennett and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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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

12 authors at 7 institutions in 1 country.

Katelyn A McKenzieDepartment of Biostatistics, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA. kmckenzie5@kumc.edu.ORCID 0000-0002-8784-0509
Mirelle El TersDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Vicente E TorresDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Peter C HarrisDivision of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA.
Arlene B ChapmanSection of Nephrology, University of Chicago School of Medicine, Chicago, IL, USA.
Michal MrugDivision of Nephrology, University of Alabama and the Department of Veterans Affairs Medical Center, Birmingham, AL, USA.
Frederic F Rahbari-OskouiDepartment of Internal Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Kyongtae Ty BaeDepartment of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
Douglas P LandsittelDepartment of Biomedical Informatics, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
William M BennettLegacy Good Samaritan Hospital, Portland, OR, USA.
Alan S L YuDivision of Nephrology and Hypertension and the Jared Grantham Kidney Institute, University of Kansas Medical Center, Kansas City, KS, USA.
Jonathan D MahnkenDepartment of Biostatistics, University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA.
Mayo Clinic · USUniversity of Kansas Medical Center · USUniversity of Pittsburgh · USEmory University · USLegacy Good Samaritan Medical Center · USUniversity of Alabama · USUniversity of Chicago · US

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
MAYO CLINIC CENTER FOR TRANSLATIONAL SCIENCE ACTIVITIESUL1RR024150 · NCRR · MAYO CLINIC ROCHESTER · PI RIZZA, ROBERT A. · 2006 to 2011
$66.4M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
ZESTRIL VS. VERAPAMIL IN THE TREATMENT OF HYPERTENSIONM01RR000585 · NCRR · MAYO CLINIC ROCHESTER · PI RIZZA, ROBERT A. · 1985 to 2006
$30.4M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025008 · NCRR · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2007 to 2011
$29.0M
Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
Zevalin Radioimmunotherapy Using a Modified TreatmentM01RR000032 · NCRR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI RICH, ROBERT R. · 1985 to 2008
$23.6M
UAB CENTER FOR CLINICAL AND TRANSLATIONAL SCIENCE (CCTS) UL1: BPCAUL1RR025777 · NCRR · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUAY-WOODFORD, LISA MARIE · 2008 to 2011
$22.3M
X LINKED NYSTAGMUS SYNDROME WITH FEATURES OF ALBINISMM01RR000039 · NCRR · EMORY UNIVERSITY · PI VACCARINO, VIOLA · 1985 to 2007
$21.3M
Heartland Institute for Clinical and Translational ResearchUL1TR000001 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI BAROHN, RICHARD J. · 2012 to 2015
$13.0M
NCATS NIH HHS UL1 TR000001NCATS NIH HHS UL1 TR000005NCATS NIH HHS UL1 TR000135NCATS NIH HHS UL1 TR000165NCATS NIH HHS UL1 TR000454NCATS NIH HHS UL1 TR001417NCRR NIH HHS M01 RR000032NCRR NIH HHS M01 RR000039NCRR NIH HHS M01 RR000585NCRR NIH HHS M01 RR023940NCRR NIH HHS UL1 RR024150NCRR NIH HHS UL1 RR024153NCRR NIH HHS UL1 RR025008NCRR NIH HHS UL1 RR025777NCRR NIH HHS UL1 RR033179NIDDK NIH HHS P30 DK090728NIDDK NIH HHS P30 DK106912NIDDK NIH HHS R01 DK044863NIDDK NIH HHS R01 DK113111NIDDK NIH HHS U01 DK056943NIDDK NIH HHS U01 DK056956NIDDK NIH HHS U01 DK056957NIDDK NIH HHS U01 DK056961
6 · The paper itself

Abstract

backgroundCaffeine has been proposed, based on in vitro cultured cell studies, to accelerate progression of autosomal dominant polycystic kidney disease (ADPKD) by increasing kidney size. Since ADPKD patients are advised to minimize caffeine intake, we investigated the effect of caffeine on disease progression in the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP), a prospective, observational cohort study.

methodsOur study included 239 patients (mean age = 32.3 ± 8.9 ys; 188 caffeine consumers) with a median follow-up time of 12.5 years. Caffeine intake reported at baseline was dichotomized (any vs. none). Linear mixed models, unadjusted and adjusted for age, race, sex, BMI, smoking, hypertension, genetics and time, were used to model height-adjusted total kidney volume (htTKV) and iothalamate clearance (mGFR). Cox proportional hazards models and Kaplan-Meier plots examined the effect of caffeine on time to ESRD or death.

resultsCaffeine-by-time was statistically significant when modeling ln(htTKV) in unadjusted and adjusted models (p <  0.01) indicating that caffeine consumers had slightly faster kidney growth (by 0.6% per year), but htTKV remained smaller from baseline throughout the study. Caffeine consumption was not associated with a difference in mGFR, or in the time to ESRD or death (p > 0.05). Moreover the results were similar when outcomes were modeled as a function of caffeine dose.

conclusionWe conclude that caffeine does not have a significant detrimental effect on disease progression in ADPKD.

Indexed as

Disease ProgressionAdultCaffeineFemaleGlomerular Filtration RateHumansKaplan-Meier EstimateKidneyKidney Failure, ChronicMaleObservational Studies as TopicOrgan SizePolycystic Kidney, Autosomal DominantProportional Hazards ModelsRetrospective StudiesSurvival RateCaffeineCaffeineCRISPESRDLinear mixed modelsPolycystic kidney disease

Identifiers

PMID30591038
PMCPMC6307167
OpenAlexW2906626886

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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.