Evidence map›Paper›PMID 33419931›Full record

ArticleDiabetes care2021

Insulinemic and Inflammatory Dietary Patterns Show Enhanced Predictive Potential for Type 2 Diabetes Risk in Postmenopausal Women.

Qi Jin, Ni Shi, Desmond Aroke, Dong Hoon Lee, Joshua J Joseph, Macarius Donneyong, Darwin L Conwell, Phil A Hart, Xuehong Zhang, Steven K Clinton and 10 more

Abstract read
In one paragraph

Article in Diabetes care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

39 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

20 authors.

Qi JinInterdisciplinary PhD Program in Nutrition, The Ohio State University, Columbus, OH.ORCID 0000-0002-3638-8006
Ni ShiThe Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH.
Desmond ArokeThe Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH.
Dong Hoon LeeDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.ORCID 0000-0003-1329-4637
Joshua J JosephDivision of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.ORCID 0000-0001-9169-8261
Macarius DonneyongCollege of Pharmacy, The Ohio State University, Columbus, OH.
Darwin L ConwellDivision of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Phil A HartDivision of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Xuehong ZhangDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Steven K ClintonInterdisciplinary PhD Program in Nutrition, The Ohio State University, Columbus, OH.
Zobeida Cruz-MonserrateInterdisciplinary PhD Program in Nutrition, The Ohio State University, Columbus, OH.
Theodore M BraskyThe Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH.
Rebecca JacksonDivision of Endocrinology, Diabetes and Metabolism, Department of Internal Medicine, College of Medicine, The Ohio State University Wexner Medical Center, Columbus, OH.
Lesley F TinkerDivision of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA.
Simin LiuDepartment of Epidemiology, Brown University, Providence, RI.ORCID 0000-0003-2098-3844
Lawrence S PhillipsAtlanta VA Health Care System, Decatur, GA.
Aladdin H ShadyabDepartment of Family Medicine and Public Health, School of Medicine, University of California San Diego, La Jolla, CA.
Rami NassirDepartment of Pathology, School of Medicine, Umm Al-Qura University, Mecca, Saudi Arabia.
Wei BaoDepartment of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA.ORCID 0000-0002-7301-5786
Fred K TabungInterdisciplinary PhD Program in Nutrition, The Ohio State University, Columbus, OH fred.tabung@osumc.edu.ORCID 0000-0001-8193-7150

Funding

CSRD VA I01 CX001737NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018C
6 · The paper itself

Abstract

objectiveThe empirical dietary index for hyperinsulinemia (EDIH) and empirical dietary inflammatory pattern (EDIP) scores assess the insulinemic and inflammatory potentials of habitual dietary patterns, irrespective of the macronutrient content, and are based on plasma insulin response or inflammatory biomarkers, respectively. The glycemic index (GI) and glycemic load (GL) assess postprandial glycemic potential based on dietary carbohydrate content. We tested the hypothesis that dietary patterns promoting hyperinsulinemia, chronic inflammation, or hyperglycemia may influence type 2 diabetes risk. RESEARCH DESIGN AND

methodsWe calculated dietary scores from baseline (1993-1998) food frequency questionnaires among 73,495 postmenopausal women in the Women's Health Initiative, followed through March 2019. We used multivariable-adjusted Cox regression to estimate hazard ratios (HRs) and 95% CIs for type 2 diabetes risk. We also estimated multivariable-adjusted absolute risk of type 2 diabetes.

resultsDuring a median 13.3 years of follow-up, 11,009 incident cases of type 2 diabetes were diagnosed. Participants consuming the most hyperinsulinemic or proinflammatory dietary patterns experienced greater risk of type 2 diabetes; HRs (95% CI) comparing highest to lowest dietary index quintiles were EDIH 1.49 (1.32-1.68;

conclusionsOur findings in this diverse cohort of postmenopausal women suggest that lowering the insulinemic and inflammatory potentials of the diet may be more effective in preventing type 2 diabetes than focusing on glycemic foods.

Indexed as

Diabetes Mellitus, Type 2DietDietary CarbohydratesFemaleGlycemic IndexHumansPostmenopauseDietary Carbohydrates

Identifiers

PMID33419931
PMCPMC7896263

What OpenQuestion holds

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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.