Evidence map›Paper›PMID 35142845›Full record

SynthesisDiabetes care2022

Trans Fatty Acid Biomarkers and Incident Type 2 Diabetes: Pooled Analysis of 12 Prospective Cohort Studies in the Fatty Acids and Outcomes Research Consortium (FORCE).

Heidi T M Lai, Fumiaki Imamura, Andres V Ardisson Korat, Rachel A Murphy, Nathan Tintle, Julie K Bassett, Jiaying Chen, Janine Kröger, Kuo-Liong Chien, Mackenzie Senn and 29 more

Open access · bronzeAbstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Diabetes care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

39 authors at 20 institutions in 8 countries.

Heidi T M LaiFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.ORCID 0000-0001-5540-6612
Fumiaki ImamuraMRC Epidemiology Unit, University of Cambridge, Cambridge, U.K.
Andres V Ardisson KoratDepartment of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Rachel A MurphySchool of Population & Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada.
Nathan TintleDepartment of Mathematics and Statistics, Dordt University, Sioux Center, IA.
Julie K BassettCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Jiaying ChenDivision of Aging, Brigham and Women's Hospital, Boston, MA.
Janine KrögerDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Kuo-Liong ChienInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Republic of China.ORCID 0000-0003-4979-8351
Mackenzie SennU.S. Department of Agriculture/Agriculture Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX.
Alexis C WoodU.S. Department of Agriculture/Agriculture Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX.
Nita G ForouhiMRC Epidemiology Unit, University of Cambridge, Cambridge, U.K.ORCID 0000-0002-5041-248X
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.ORCID 0000-0002-0830-5277
William S HarrisFatty Acid Research Institute, Sioux Falls, SD.
Ramachandran S VasanBoston University School of Medicine, Boston, MA.
Frank HuDepartment of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Graham G GilesCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Allison HodgeCancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Luc DjousseDivisions of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
Ingeborg A BrouwerDepartment of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands.
Frank QianDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.
Qi SunDepartment of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.
Jason H Y WuThe George Institute for Global Health, the Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
Matti MarklundFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.
Rozenn N LemaitreCardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA.
David S SiscovickThe New York Academy of Medicine, New York, NY.
Amanda M FrettsCardiovascular Health Research Unit, Department of Epidemiology, University of Washington School of Public Health, Seattle, WA.
Aladdin H ShadyabFamily Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla, CA.
JoAnn E MansonDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Barbara V HowardGeorgetown University Medical Center, Georgetown University, Hyattsville, MD.
Jennifer G RobinsonThe University of Iowa, Iowa City, IA.
Robert B WallaceThe University of Iowa, Iowa City, IA.
Nick J WarehamMRC Epidemiology Unit, University of Cambridge, Cambridge, U.K.
Yii-Der Ida ChenThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
Jerome I RotterThe Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
Michael Y TsaiDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN.ORCID 0000-0001-7553-3408
Renata MichaFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA.
Fatty Acids and Outcomes Research Consortium (FORCE)
Brigham and Women's Hospital · USTufts University · USMRC Epidemiology Unit · GBCancer Council Victoria · AUChildren's Nutrition Research Center at Baylor College of Medicine · USUCLA Medical Center · USUniversity of Iowa · USUniversity of Washington · USBoston University · USDordt University · USGeorgetown University · USGerman Institute of Human Nutrition · DEHarvard University · USNational Taiwan University · TWNew York Academy of Medicine · USThe University of Melbourne · AUUniversity of British Columbia · CAUniversity of California San Diego · USUniversity of Minnesota · USUniversity of Potsdam · DE

Funding

Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Training Program in Cancer EpidemiologyT32CA009001 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI A. Heather Eliassen, Meir Stampfer · 1985 to 2026
$17.3M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
Cost-Effectiveness of Health System and State-Level Strategies to Improve Diet and Reduce Cardiometabolic DiseasesR01HL115189 · NHLBI · TUFTS UNIVERSITY BOSTON · PI DARIUSH MOZAFFARIAN · 2013 to 2026
$8.2M
DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B, QI, QIBIN · 1998 to 2021
$8.0M
Cancer Research UK 14136Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_UU_00006/1Medical Research Council MC_UU_00006/3Medical Research Council MR/N003284/1NCI NIH HHS T32 CA009001NCI NIH HHS UM1 CA186107NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL035464NHLBI NIH HHS R01 HL060712NHLBI NIH HHS R01 HL115189
6 · The paper itself

Abstract

objectiveTrans fatty acids (TFAs) have harmful biologic effects that could increase the risk of type 2 diabetes (T2D), but evidence remains uncertain. We aimed to investigate the prospective associations of TFA biomarkers and T2D by conducting an individual participant-level pooled analysis. RESEARCH DESIGN AND

methodsWe included data from an international consortium of 12 prospective cohorts and nested case-control studies from six nations. TFA biomarkers were measured in blood collected between 1990 and 2008 from 25,126 participants aged ≥18 years without prevalent diabetes. Each cohort conducted de novo harmonized analyses using a prespecified protocol, and findings were pooled using inverse-variance weighted meta-analysis. Heterogeneity was explored by prespecified between-study and within-study characteristics.

resultsDuring a mean follow-up of 13.5 years, 2,843 cases of incident T2D were identified. In multivariable-adjusted pooled analyses, no significant associations with T2D were identified for trans/trans-18:2, relative risk (RR) 1.09 (95% CI 0.94-1.25); cis/trans-18:2, 0.89 (0.73-1.07); and trans/cis-18:2, 0.87 (0.73-1.03). Trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated with T2D (RR 0.81 [95% CI 0.67-0.99], 0.86 [0.75-0.99], and 0.84 [0.74-0.96], respectively). Findings were not significantly different according to prespecified sources of potential heterogeneity (each P ≥ 0.1).

conclusionsCirculating individual trans-18:2 TFA biomarkers were not associated with risk of T2D, while trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated. Findings may reflect the influence of mixed TFA sources (industrial vs. natural ruminant), a general decline in TFA exposure due to policy changes during this period, or the relatively limited range of TFA levels.

Indexed as

Diabetes Mellitus, Type 2Trans Fatty AcidsAdolescentAdultBiomarkersCohort StudiesFatty AcidsHumansOutcome Assessment, Health CareProspective StudiesRisk FactorsBiomarkersFatty AcidsTrans Fatty Acids

Identifiers

PMID35142845
PMCPMC9114723
OpenAlexW4210968404

What Socratic holds

Textmetadata
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 Socratic graph.