Evidence map›Paper›PMID 30122560›Full record

SynthesisThe Lancet. Public health2018

Dietary carbohydrate intake and mortality: a prospective cohort study and meta-analysis.

Sara B Seidelmann, Brian Claggett, Susan Cheng, Mir Henglin, Amil Shah, Lyn M Steffen, Aaron R Folsom, Eric B Rimm, Walter C Willett, Scott D Solomon

2 registry-linked trialsOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in The Lancet. Public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 353 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
353citing papers in PubMed, 16 pooled it
44.1field-weighted citation impact, top 1% 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.

NCT04851041 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Long-term Effects of a Potato-based Food Pattern vs a Rice / Pasta-based Food Pattern on Fasting & Postprandial Cardiometabolic Health; The LoPoCardio - Trial

TypeinterventionalSponsorMaastricht University Medical CenterRan2021 to 2024Enrolled56ConditionsGlucose Metabolism, Lipid MetabolismArmsPotato, Pasta/rice
NCT06273631 narecruitingnot on this mapstarted 2024, after this paper: background citation

Effect of Changes in Carbohydrate Intake Patterns on Glucose Control in Patients With Type 1 Diabetes

TypeinterventionalSponsorYang TaoRan2024 to 2027Enrolled80ConditionsType 1 Diabetes, Diet Intervention, Glucose ControlArmsdiverse carbohydrate diet, moderate carbohydrate diet
3 · Its place in the literature

Who cites it

353 citing papers in PubMed, 16 syntheses or guidelines pooled it, 750 citations in OpenAlex.

  1. Fed, not fasted: is carbohydrate mouth rinsing still ergogenic? A three-level meta-analysis.Journal of the International Society of Sports Nutrition · 2025
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  8. [WHO guideline on carbohydrate intake for adults and children].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2024
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293 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 1 country.

Sara B SeidelmannCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Brian ClaggettCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Susan ChengCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Mir HenglinCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Amil ShahCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Lyn M SteffenDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA.
Aaron R FolsomDivision of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA.
Eric B RimmChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Epidemiology and Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Walter C WillettChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA; Department of Epidemiology and Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Scott D SolomonCardiovascular Division, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA. Electronic address: ssolomon@rics.bwh.harvard.edu.
Brigham and Women's Hospital · USUniversity of Minnesota · USHarvard University · US

Funding

Noninvasive Cardiovascular Imaging Research Training ProgramT32HL094301 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Marcelo F DI CARLI · 2010 to 2026
$7.8M
Cardiac microstructure and the immune-inflammatory response to SARS-CoV-2R01HL131532 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHENG, SUSAN, LI, DEBIAO · 2016 to 2025
$6.6M
Inflammatory Mediators, Cardiovascular Health, and Longevity in WomenR01HL134168 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHENG, SUSAN · 2016 to 2019
$1.6M
NHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS R01 HL131532NHLBI NIH HHS R01 HL134168NHLBI NIH HHS T32 HL094301
6 · The paper itself

Abstract

backgroundLow carbohydrate diets, which restrict carbohydrate in favour of increased protein or fat intake, or both, are a popular weight-loss strategy. However, the long-term effect of carbohydrate restriction on mortality is controversial and could depend on whether dietary carbohydrate is replaced by plant-based or animal-based fat and protein. We aimed to investigate the association between carbohydrate intake and mortality.

methodsWe studied 15 428 adults aged 45-64 years, in four US communities, who completed a dietary questionnaire at enrolment in the Atherosclerosis Risk in Communities (ARIC) study (between 1987 and 1989), and who did not report extreme caloric intake (<600 kcal or >4200 kcal per day for men and <500 kcal or >3600 kcal per day for women). The primary outcome was all-cause mortality. We investigated the association between the percentage of energy from carbohydrate intake and all-cause mortality, accounting for possible non-linear relationships in this cohort. We further examined this association, combining ARIC data with data for carbohydrate intake reported from seven multinational prospective studies in a meta-analysis. Finally, we assessed whether the substitution of animal or plant sources of fat and protein for carbohydrate affected mortality.

findingsDuring a median follow-up of 25 years there were 6283 deaths in the ARIC cohort, and there were 40 181 deaths across all cohort studies. In the ARIC cohort, after multivariable adjustment, there was a U-shaped association between the percentage of energy consumed from carbohydrate (mean 48·9%, SD 9·4) and mortality: a percentage of 50-55% energy from carbohydrate was associated with the lowest risk of mortality. In the meta-analysis of all cohorts (432 179 participants), both low carbohydrate consumption (<40%) and high carbohydrate consumption (>70%) conferred greater mortality risk than did moderate intake, which was consistent with a U-shaped association (pooled hazard ratio 1·20, 95% CI 1·09-1·32 for low carbohydrate consumption; 1·23, 1·11-1·36 for high carbohydrate consumption). However, results varied by the source of macronutrients: mortality increased when carbohydrates were exchanged for animal-derived fat or protein (1·18, 1·08-1·29) and mortality decreased when the substitutions were plant-based (0·82, 0·78-0·87).

interpretationBoth high and low percentages of carbohydrate diets were associated with increased mortality, with minimal risk observed at 50-55% carbohydrate intake. Low carbohydrate dietary patterns favouring animal-derived protein and fat sources, from sources such as lamb, beef, pork, and chicken, were associated with higher mortality, whereas those that favoured plant-derived protein and fat intake, from sources such as vegetables, nuts, peanut butter, and whole-grain breads, were associated with lower mortality, suggesting that the source of food notably modifies the association between carbohydrate intake and mortality.

fundingNational Institutes of Health.

Indexed as

Dietary CarbohydratesDiet SurveysFemaleHumansMaleMiddle AgedMortalityProspective StudiesUnited StatesDietary Carbohydrates

Identifiers

PMID30122560
PMCPMC6339822
OpenAlexW2885382674

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.