Evidence map›Paper›PMID 36167362›Full record

SynthesisBMJ open2022

White rice, brown rice and the risk of type 2 diabetes: a systematic review and meta-analysis.

Jiayue Yu, Bhavadharini Balaji, Maria Tinajero, Sarah Jarvis, Tauseef Khan, Sudha Vasudevan, Viren Ranawana, Amudha Poobalan, Shilpa Bhupathiraju, Qi Sun and 5 more

Registry-linked trialOpen access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06560541 (A Randomized and Open Label Phase 2 Clinical Trial of Low-GI, Polyphenol-Rich UKMRC9 Red Rice on Cardiometabolic Parameters in Patients With Type 2 Diabetes), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.8field-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.

NCT06560541 nacompletednot on this map

A Randomized and Open Label Phase 2 Clinical Trial of Low-GI, Polyphenol-Rich UKMRC9 Red Rice on Cardiometabolic Parameters in Patients With Type 2 Diabetes

TypeinterventionalSponsorTaylor's UniversityRan2021 to 2024Enrolled204ConditionsDiabetes Mellitus, Type 2ArmsUKMRC9, White rice
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Evaluation of the trade-off between variety, processing, and low-GI claim in ready-to-eat rice.Food science and technology international = Ciencia y tecnologia de los alimentos internacional · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Protocol of a Series ofCurrent developments in nutrition · 2025
    Article
  9. Arsenic content and exposure in brown rice compared to white rice in the United States.Risk analysis : an official publication of the Society for Risk Analysis · 2025
    Article
  10. Metabolic diseases in the East Asian populations.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

15 authors at 8 institutions in 4 countries.

Jiayue YuDepartment of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Bhavadharini BalajiWomen's College Hospital, Toronto, Ontario, Canada.
Maria TinajeroDepartment of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Sarah JarvisDepartment of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Tauseef KhanDepartment of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Sudha VasudevanDepartment of Food and Nutrition Research, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India.
Viren RanawanaSchool of Health and Related Research, The University of Sheffield, Sheffield, UK.
Amudha PoobalanMedical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
Shilpa BhupathirajuChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Qi SunDepartment of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA.
Walter WillettDepartment of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA.
Frank B HuDepartment of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA.
David J A JenkinsDepartment of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-1192-9571
Viswanathan MohanDepartment of Diabetology, Madras Diabetes Research Foundation, Chennai, Tamil Nadu, India.
Vasanti S MalikDepartment of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada vasanti.malik@utoronto.ca.ORCID 0000-0002-9453-4796
Harvard University · USUniversity of Toronto · CAMadras Diabetes Research Foundation · INBrigham and Women's Hospital · USSt. Michael's Hospital · CAUniversity of Aberdeen · GBUniversity of Sheffield · GBWomen's College Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveIntake of white rice has been associated with elevated risk for type 2 diabetes (T2D), while studies on brown rice are conflicting. To inform dietary guidance, we synthesised the evidence on white rice and brown rice with T2D risk.

designSystematic review and meta-analysis. DATA SOURCES: PubMed, EMBASE and Cochrane databases were searched through November 2021. ELIGIBILITY CRITERIA: Prospective cohort studies of white and brown rice intake on T2D risk (≥1 year), and randomised controlled trials (RCTs) comparing brown rice with white rice on cardiometabolic risk factors (≥2 weeks). DATA EXTRACTION AND SYNTHESIS: Data were extracted by the primary reviewer and two additional reviewers. Meta-analyses were conducted using random-effects models and reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Risk of bias was assessed using the Newcastle Ottawa Scale for prospective cohort studies and the Cochrane Risk of Bias Tool for RCTs. Strength of the meta-evidence was assessed using NutriGrade.

resultsNineteen articles were included: 8 cohort studies providing 18 estimates (white rice: 15 estimates, 25 956 cases, n=5 77 426; brown rice: 3 estimates, 10 507 cases, n=1 97 228) and 11 RCTs (n=1034). In cohort studies, white rice was associated with higher risk of T2D (pooled RR, 1.16; 95% CI: 1.02 to 1.32) comparing extreme categories. At intakes above ~300 g/day, a dose-response was observed (each 158 g/day serving was associated with 13% (11%-15%) higher risk of T2D). Intake of brown rice was associated with lower risk of T2D (pooled RR, 0.89; 95% CI: 0.81 to 0.97) comparing extreme categories. Each 50 g/day serving of brown rice was associated with 13% (6%-20%) lower risk of T2D. Cohort studies were considered to be of good or fair quality. RCTs showed an increase in high-density lipoprotein-cholesterol (0.06 mmol/L; 0.00 to 0.11 mmol/L) in the brown compared with white rice group. No other significant differences in risk factors were observed. The majority of RCTs were found to have some concern for risk of bias. Overall strength of the meta-evidence was moderate for cohort studies and moderate and low for RCTs.

conclusionIntake of white rice was associated with higher risk of T2D, while intake of brown rice was associated with lower risk. Findings from substitution trials on cardiometabolic risk factors were inconsistent. PROSPERO REGISTRATION NUMBER: CRD42020158466.

Indexed as

Diabetes Mellitus, Type 2OryzaCholesterolCohort StudiesHumansLipoproteins, HDLCholesterolLipoproteins, HDLepidemiologygeneral diabetesnutrition & dieteticspublic health

Identifiers

PMID36167362
PMCPMC9516166
OpenAlexW4297387060

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.