Evidence map›Paper›PMID 32868270›Full record

ArticleDiabetes care2020

Replacement of Red and Processed Meat With Other Food Sources of Protein and the Risk of Type 2 Diabetes in European Populations: The EPIC-InterAct Study.

Daniel B Ibsen, Marinka Steur, Fumiaki Imamura, Kim Overvad, Matthias B Schulze, Benedetta Bendinelli, Marcela Guevara, Antonio Agudo, Pilar Amiano, Dagfinn Aune and 33 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in Diabetes care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
6.3field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it, 57 citations in OpenAlex.

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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

43 authors at 20 institutions in 11 countries.

Daniel B IbsenResearch Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark nita.forouhi@mrc-epid.cam.ac.uk dbi@ph.au.dk.ORCID 0000-0002-7038-4770
Marinka SteurMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K.
Fumiaki ImamuraMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K.
Kim OvervadResearch Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark.
Matthias B SchulzeDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.ORCID 0000-0002-0830-5277
Benedetta BendinelliCancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy.
Marcela GuevaraNavarre Public Health Institute, Pamplona, Spain.
Antonio AgudoUnit of Nutrition and Cancer, Catalan Institute of Oncology (ICO), and Nutrition and Cancer Group, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
Pilar AmianoCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Dagfinn AuneDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.
Aurelio BarricarteNavarre Public Health Institute, Pamplona, Spain.
Ulrika EricsonDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Guy FagherazziDigital Epidemiology and e-Health Research Hub, Department of Population Health, Luxembourg Institute of Health, Luxembourg.
Paul W FranksLund University, Malmö, Sweden.ORCID 0000-0002-0520-7604
Heinz FreislingInternational Agency for Research on Cancer, World Health Organization, Lyon, France.
Jose R QuirosPublic Health Directorate, Asturias, Spain.
Sara GrioniEpidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Alicia K HeathDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.
Inge HuybrechtsInternational Agency for Research on Cancer, World Health Organization, Lyon, France.
Verena KatzeDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Nasser LaoualiCenter of Epidemiology and Population Health, UMR 1018, INSERM, Paris South-Paris Saclay University, Gustave Roussy Institute, Villejuif, France.
Francesca ManciniCenter of Epidemiology and Population Health, UMR 1018, INSERM, Paris South-Paris Saclay University, Gustave Roussy Institute, Villejuif, France.
Giovanna MasalaCancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy.
Anja OlsenResearch Unit for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark.
Keren PapierCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, U.K.
Stina RamneDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Olov RolandssonFamily Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.ORCID 0000-0002-1341-6828
Carlotta SacerdoteUnit of Cancer Epidemiology, Azienda Ospedaliero-Universitaria Città della Salute e della Scienza di Torino and Center for Cancer Prevention (CPO), Turin, Italy.
Maria-José SánchezCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Carmen SantiusteCIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Vittorio SimeonDepartment of Mental and Physical Health and Preventive Medicine, University of Campania Luigi Vanvitelli, Naples, Italy.
Annemieke M W SpijkermanNational Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
Bernard SrourDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Anne TjønnelandDanish Cancer Society Research Center, Copenhagen, Denmark.
Tammy Y N TongCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, U.K.
Rosario TuminoCancer Registry and Histopathology Department, Azienda Sanitaria Provinciale, Ragusa, Italy.
Yvonne T van der SchouwJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
Elisabete WeiderpassInternational Agency for Research on Cancer, World Health Organization, Lyon, France.
Clemens WittenbecherDepartment of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Stephen J SharpMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K.
Elio RiboliDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K.
Nita G ForouhiMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K. nita.forouhi@mrc-epid.cam.ac.uk dbi@ph.au.dk.ORCID 0000-0002-5041-248X
Nick J WarehamMRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K.
University of Cambridge · GBAarhus University · DKCentre international de recherche sur le cancer · FRInserm · FRLund University · SEGerman Cancer Research Center · DEImperial College London · GBPiedmont Reference Center for Epidemiology and Cancer Prevention · ITUniversity of Oxford · GBAgenzia Regionale Sanitaria della Puglia · ITBasque Government · ESBellvitge University Hospital · ESFondazione IRCCS Istituto Nazionale dei Tumori · ITGobierno del Principado de Asturias · ESHarvard University · USInstituto Murciano de Investigación Biosanitaria · ESNational Institute for Public Health and the Environment · NLNavarre Institute of Health Research · ESOslo University Hospital · NOUmeå University · SE

Funding

Medical Research Council MC_UU_00006/3Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/5Medical Research Council MR/M012190/1Wellcome Trust 205212/Z/16/ZWorld Health Organization 001
6 · The paper itself

Abstract

objectiveThere is sparse evidence for the association of suitable food substitutions for red and processed meat on the risk of type 2 diabetes. We modeled the association between replacing red and processed meat with other protein sources and the risk of type 2 diabetes and estimated its population impact. RESEARCH DESIGN AND

methodsThe European Prospective Investigation into Cancer (EPIC)-InterAct case cohort included 11,741 individuals with type 2 diabetes and a subcohort of 15,450 participants in eight countries. We modeled the replacement of self-reported red and processed meat with poultry, fish, eggs, legumes, cheese, cereals, yogurt, milk, and nuts. Country-specific hazard ratios (HRs) for incident type 2 diabetes were estimated by Prentice-weighted Cox regression and pooled using random-effects meta-analysis.

resultsThere was a lower hazard for type 2 diabetes for the modeled replacement of red and processed meat (50 g/day) with cheese (HR 0.90, 95% CI 0.83-0.97) (30 g/day), yogurt (0.90, 0.86-0.95) (70 g/day), nuts (0.90, 0.84-0.96) (10 g/day), or cereals (0.92, 0.88-0.96) (30 g/day) but not for replacements with poultry, fish, eggs, legumes, or milk. If a causal association is assumed, replacing red and processed meat with cheese, yogurt, or nuts could prevent 8.8%, 8.3%, or 7.5%, respectively, of new cases of type 2 diabetes.

conclusionsReplacement of red and processed meat with cheese, yogurt, nuts, or cereals was associated with a lower rate of type 2 diabetes. Substituting red and processed meat by other protein sources may contribute to the prevention of incident type 2 diabetes in European populations.

Indexed as

DietAgedAnimalsDiabetes Mellitus, Type 2EuropeFemaleFollow-Up StudiesHumansMaleMiddle AgedMilkProportional Hazards ModelsProspective StudiesRed MeatRisk FactorsSeafood

Identifiers

PMID32868270
PMCPMC7576430
OpenAlexW3081592020

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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.