Evidence map›Paper›PMID 28660846›Full record

ArticleThe British journal of nutrition2017

Carbohydrate nutrition and risk of adiposity-related cancers: results from the Framingham Offspring cohort (1991-2013).

Nour Makarem, Elisa V Bandera, Yong Lin, Paul F Jacques, Richard B Hayes, Niyati Parekh

Open access · bronzeAbstract read
In one paragraph

Article in The British journal of nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 4 pooled it
4.5field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 4 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  15. Influence of Diet and Nutrition on Prostate Cancer.International journal of molecular sciences · 2020
    Review
  16. Carbohydrate Nutrition and the Risk of Cancer.Current nutrition reports · 2019
    Review
  17. Article
  18. Article
  19. Article
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

6 authors at 5 institutions in 1 country.

Nour Makarem1Department of Medicine,Columbia University Medical Center,51 Audubon Avenue,Suite 501,New York,NY 10032,USA.
Elisa V Bandera2Rutgers School of Public Health,Rutgers The State University of New Jersey,683 Hoes Lane West,Piscataway,NJ 08854,USA.
Yong Lin2Rutgers School of Public Health,Rutgers The State University of New Jersey,683 Hoes Lane West,Piscataway,NJ 08854,USA.
Paul F Jacques4Friedman School of Nutrition Science and Policy,Jean Mayer USDA Human Nutrition Research Center on Aging,Tufts University,711 Washington Street,Boston,MA 02111,USA.
Richard B Hayes5Department of Population Health,NYU Langone School of Medicine,227 East 30th Street,7th Floor,New York,NY 10016,USA.
Niyati Parekh5Department of Population Health,NYU Langone School of Medicine,227 East 30th Street,7th Floor,New York,NY 10016,USA.
National Audubon Society · USNew York University · USRutgers Cancer Institute of New JerseyRutgers, The State University of New Jersey · USTufts University · US

Funding

THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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NHLBI NIH HHS N01 HC025195
6 · The paper itself

Abstract

Higher carbohydrate intake, glycaemic index (GI), and glycaemic load (GL) are hypothesised to increase cancer risk through metabolic dysregulation of the glucose-insulin axis and adiposity-related mechanisms, but epidemiological evidence is inconsistent. This prospective cohort study investigates carbohydrate quantity and quality in relation to risk of adiposity-related cancers, which represent the most commonly diagnosed preventable cancers in the USA. In exploratory analyses, associations with three site-specific cancers: breast, prostate and colorectal cancers were also examined. The study sample consisted of 3184 adults from the Framingham Offspring cohort. Dietary data were collected in 1991-1995 using a FFQ along with lifestyle and medical information. From 1991 to 2013, 565 incident adiposity-related cancers, including 124 breast, 157 prostate and sixty-eight colorectal cancers, were identified. Cox proportional hazards models were used to evaluate the role of carbohydrate nutrition in cancer risk. GI and GL were not associated with risk of adiposity-related cancers or any of the site-specific cancers. Total carbohydrate intake was not associated with risk of adiposity-related cancers combined or prostate and colorectal cancers. However, carbohydrate consumption in the highest v. lowest quintile was associated with 41 % lower breast cancer risk (hazard ratio (HR) 0·59; 95 % CI 0·36, 0·97). High-, medium- and low-GI foods were not associated with risk of adiposity-related cancers or prostate and colorectal cancers. In exploratory analyses, low-GI foods, were associated with 49 % lower breast cancer risk (HR 0·51; 95 % CI 0·32, 0·83). In this cohort of Caucasian American adults, associations between carbohydrate nutrition and cancer varied by cancer site. Healthier low-GI carbohydrate foods may prevent adiposity-related cancers among women, but these findings require confirmation in a larger sample.

Indexed as

DietFeeding BehaviorAdiposityBlood GlucoseBreast NeoplasmsColorectal NeoplasmsDietary CarbohydratesEnergy IntakeFemaleGlycemic IndexGlycemic LoadHumansInsulinMaleMiddle AgedObesityBlood GlucoseDietary CarbohydratesInsulinAdiposity-related cancersCarbohydrate intakesFHS Framingham Heart StudyFOS Framingham OffspringFramingham Offspring cohortGI glycaemic indexGL glycaemic loadGlycaemic indexGlycaemic loadHR hazard ratioWC waist circumference

Identifiers

PMID28660846
PMCPMC7234815
OpenAlexW2734020696

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.