Evidence map›Paper›PMID 27391484›Full record

Trial reportBMC nephrology2016

Effect of glycemic index and carbohydrate intake on kidney function in healthy adults.

Stephen P Juraschek, Alex R Chang, Lawrence J Appel, Cheryl A M Anderson, Deidra C Crews, Letitia Thomas, Jeanne Charleston, Edgar R Miller

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMC nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00608049 (Optimal Macronutrient Intake - Carbohydrate), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 17% 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.

NCT00608049 nacompletednot on this map

Optimal Macronutrient Intake - Carbohydrate

TypeinterventionalSponsorBrigham and Women's HospitalRan2008 to 2011Enrolled189ConditionsOverweight, Cardiovascular DiseasesArmsHigh carbohydrate and low glycemic index (GI) diet, Low carbohydrate and low GI diet, High carbohydrate and high GI diet, Low carbohydrate and high GI diet
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 29 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

8 authors at 3 institutions in 1 country.

Stephen P JuraschekThe Johns Hopkins School of Medicine, The Johns Hopkins Bloomberg School of Public Health, and The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, 2024 East Monument Street, Suite 1-500, Baltimore, MD, 21205, USA.
Alex R ChangGeisinger Health System, Danville, PA, USA.
Lawrence J AppelThe Johns Hopkins School of Medicine, The Johns Hopkins Bloomberg School of Public Health, and The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, 2024 East Monument Street, Suite 1-500, Baltimore, MD, 21205, USA.
Cheryl A M AndersonUniversity of California San Diego, San Diego, CA, USA.
Deidra C CrewsThe Johns Hopkins School of Medicine, The Johns Hopkins Bloomberg School of Public Health, and The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, 2024 East Monument Street, Suite 1-500, Baltimore, MD, 21205, USA.
Letitia ThomasThe Johns Hopkins School of Medicine, The Johns Hopkins Bloomberg School of Public Health, and The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, 2024 East Monument Street, Suite 1-500, Baltimore, MD, 21205, USA.
Jeanne CharlestonThe Johns Hopkins School of Medicine, The Johns Hopkins Bloomberg School of Public Health, and The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, 2024 East Monument Street, Suite 1-500, Baltimore, MD, 21205, USA.
Edgar R MillerThe Johns Hopkins School of Medicine, The Johns Hopkins Bloomberg School of Public Health, and The Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Medical Institutions, 2024 East Monument Street, Suite 1-500, Baltimore, MD, 21205, USA. ermiller@jhmi.edu.
Johns Hopkins University · USGeisinger Health System · USUniversity of California, San Diego · US

Funding

Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D, TAYLOR, SIMEON I. · 2005 to 2019
$17.3M
Carbohydrate: Amount and Type Affecting Risk for CVD and DiabetesR01HL084568 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SACKS, FRANK M · 2007 to 2011
$10.2M
RENAL DISEASE EPIDEMIOLOGY TRAINING GRANTT32DK007732 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CREWS, DEIDRA CANDICE · 1995 to 2024
$7.7M
Morbid Obesity, Bariatric Surgery, and Kidney FunctionK23DK106515 · NIDDK · GEISINGER CLINIC · PI CHANG, ALEXANDER R · 2015 to 2019
$890k
Race, Socioeconomic Status, Diet and Chronic Kidney DiseaseK23DK097184 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CREWS, DEIDRA CANDICE · 2013 to 2016
$684k
Dietary carbohydrate & glycemic index effects on oxidation & inflammationR01HL095448 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MILLER, EDGAR RAYMOND · 2009 to 2012
$625k
NHLBI NIH HHS R01 HL084568NHLBI NIH HHS R01 HL095448NIDDK NIH HHS K23 DK097184NIDDK NIH HHS K23 DK106515NIDDK NIH HHS P30 DK072488NIDDK NIH HHS T32 DK007732
6 · The paper itself

Abstract

backgroundReplacing carbohydrate with protein acutely increases glomerular filtration rate (GFR) but is associated with faster, long-term kidney disease progression. The effects of carbohydrate type (i.e. glycemic index, GI) on kidney function are unknown.

methodsWe conducted an ancillary study of a randomized, crossover feeding trial in overweight/obese adults without diabetes or kidney disease (N = 163). Participants were fed each of four healthy, DASH-like diets for 5 weeks, separated by 2-week washout periods. Weight was kept constant. The four diets were: high GI (GI ≥65) with high %carb (58 % kcal) (reference diet), low GI (≤45) with low %carb (40 % kcal), low GI with high %carb; and high GI with low %carb. Plasma was collected at baseline and after each feeding period. Study outcomes were cystatin C, β2-microglobulin (β2M), and estimated GFR based on cystatin C (eGFRcys).

resultsMean (SD) age was 52 (11) years; 52 % were women; 50 % were black. At baseline, mean (SD) cystatin C, β2M, and eGFRcys were 0.8 (0.1) mg/L, 1.9 (0.4) mg/L, and 104 (16) mL/min/1.73 m(2). Compared to the high GI/high %carb diet, reducing GI, %carb, or both increased eGFRcys by 1.9 mL/min/1.73 m(2) (95 % CI: 1.1, 2.7; P < 0.001), 3.0 mL/min/1.73 m(2) (1.9, 4.0; P < 0.001), and 4.5 mL/min/1.73 m(2) (3.5, 5.4; P < 0.001), respectively. Increases in eGFRcys from reducing GI were significantly associated with increases in eGFRcys from reducing %carb (P < 0.001). Results for cystatin C and β2M reflected eGFRcys.

conclusionsReducing GI increased GFR. Reducing %carb by increasing calories from protein and fat, also increased GFR. Future studies on GI should examine the long-term effects of this increase in GFR on kidney injury markers and clinical outcomes.

trial registrationClinical Trials.gov, number: NCT00608049 (first registered January 23, 2008).

Indexed as

Glomerular Filtration RateGlycemic IndexAdultbeta 2-MicroglobulinCreatinineCross-Over StudiesCystatin CDietary CarbohydratesDietary FatsDietary ProteinsEnergy IntakeFemaleHealthy VolunteersHumansKidneyMalebeta 2-MicroglobulinCreatinineCystatin CDietary CarbohydratesDietary FatsDietary ProteinsCarbohydrateClinical trialCreatinineCystatin CDietEstimated glomerular filtration rateGlycemic indexβ2-microglobulin

Identifiers

PMID27391484
PMCPMC4938908
OpenAlexW2469867009

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.