Evidence map›Paper›PMID 25250626›Full record

Trial reportPloS one2014

A high dietary glycemic index increases total mortality in a Mediterranean population at high cardiovascular risk.

Itandehui Castro-Quezada, Almudena Sánchez-Villegas, Ramón Estruch, Jordi Salas-Salvadó, Dolores Corella, Helmut Schröder, Jacqueline Alvarez-Pérez, María Dolores Ruiz-López, Reyes Artacho, Emilio Ros and 14 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

24 authors.

Itandehui Castro-QuezadaResearch Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
Almudena Sánchez-VillegasResearch Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain.
Ramón EstruchCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Department of Internal Medicine, Hospital Clinic, Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), Barcelona, Spain.
Jordi Salas-SalvadóCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Human Nutrition Department, School of Medicine, University Rovira i Virgili, Reus, Tarragona, Spain.
Dolores CorellaCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Department of Preventive Medicine, School of Medicine, University of Valencia, Valencia, Spain.
Helmut SchröderCardiovascular Risk and Nutrition Research Group, Institut Municipal d'Investigació Medica (IMIM)-Institut de Recerca del Hospital del Mar, Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain.
Jacqueline Alvarez-PérezResearch Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain.
María Dolores Ruiz-LópezDepartment of Nutrition and Food Science, School of Pharmacy, University of Granada, Granada, Spain; Institute of Nutrition and Food Technologies, University of Granada. Armilla, Granada, Spain.
Reyes ArtachoDepartment of Nutrition and Food Science, School of Pharmacy, University of Granada, Granada, Spain.
Emilio RosCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Lipid Clinic, Endocrinology and Nutrition Service, Hospital Clinic, l'Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.
Mónica BullóCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Human Nutrition Department, School of Medicine, University Rovira i Virgili, Reus, Tarragona, Spain.
María-Isabel CovasCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Cardiovascular Risk and Nutrition Research Group, Institut Municipal d'Investigació Medica (IMIM)-Institut de Recerca del Hospital del Mar, Barcelona, Spain.
Valentina Ruiz-GutiérrezCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Group of Nutrition and Lipid Metabolism, Instituto de la Grasa (CSIC), Seville, Spain.
Miguel Ruiz-CanelaCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Department of Preventive Medicine and Public Health, School of Medicine - Clinica Universitaria de Navarra, University of Navarra, Pamplona, Navarra, Spain.
Pilar Buil-CosialesCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Department of Preventive Medicine and Public Health, School of Medicine - Clinica Universitaria de Navarra, University of Navarra, Pamplona, Navarra, Spain.
Enrique Gómez-GraciaCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Department of Preventive Medicine, School of Medicine, University of Malaga, Malaga, Spain.
José LapetraCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Department of Family Medicine, Primary Care Division of Sevilla, San Pablo Health Center, Sevilla, Spain.
Xavier PintóCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Internal Medicine Service, Hospital of Bellvitge, Barcelona, Spain.
Fernando ArósCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Department of Cardiology, Hospital Txagorritxu, Vitoria, Alava, Spain.
Miquel FiolCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; University Institute for Health Sciences Investigation, University of Balearic Islands, Palma de Mallorca, Spain; Department of Cardiology, Hospital Son Espases, Palma de Mallorca, Spain.
Rosa María Lamuela-RaventósCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Department of Nutrition and Bromatology, School of Pharmacy, University of Barcelona, Barcelona, Spain.
Miguel Ángel Martínez-GonzálezCiber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain; Department of Preventive Medicine and Public Health, School of Medicine - Clinica Universitaria de Navarra, University of Navarra, Pamplona, Navarra, Spain.
Lluís Serra-MajemResearch Institute of Biomedical and Health Sciences, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain; Ciber Fisiopatología Obesidad y Nutrición (CIBEROBN, CB06/03), Instituto de Salud Carlos III (ISCIII), Spanish Government, Madrid, Spain.
PREDIMED Study Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDifferent types of carbohydrates have diverse glycemic response, thus glycemic index (GI) and glycemic load (GL) are used to assess this variation. The impact of dietary GI and GL in all-cause mortality is unknown. The objective of this study was to estimate the association between dietary GI and GL and risk of all-cause mortality in the PREDIMED study. MATERIAL AND

methodsThe PREDIMED study is a randomized nutritional intervention trial for primary cardiovascular prevention based on community-dwelling men and women at high risk of cardiovascular disease. Dietary information was collected at baseline and yearly using a validated 137-item food frequency questionnaire (FFQ). We assigned GI values of each item by a 5-step methodology, using the International Tables of GI and GL Values. Deaths were ascertained through contact with families and general practitioners, review of medical records and consultation of the National Death Index. Cox regression models were used to estimate multivariable-adjusted hazard ratios (HR) and their 95% CI for mortality, according to quartiles of energy-adjusted dietary GI/GL. To assess repeated measures of exposure, we updated GI and GL intakes from the yearly FFQs and used Cox models with time-dependent exposures.

resultsWe followed 3,583 non-diabetic subjects (4.7 years of follow-up, 123 deaths). As compared to participants in the lowest quartile of baseline dietary GI, those in the highest quartile showed an increased risk of all-cause mortality [HR = 2.15 (95% CI: 1.15-4.04); P for trend  = 0.012]. In the repeated-measures analyses using as exposure the yearly updated information on GI, we observed a similar association. Dietary GL was associated with all-cause mortality only when subjects were younger than 75 years.

conclusionsHigh dietary GI was positively associated with all-cause mortality in elderly population at high cardiovascular risk.

Indexed as

Glycemic IndexAgedAged, 80 and overAge FactorsCardiovascular DiseasesCause of DeathDietDietary CarbohydratesFeeding BehaviorFemaleHumansMaleMiddle AgedProportional Hazards ModelsRisk FactorsDietary Carbohydrates

Identifiers

PMID25250626
PMCPMC4176720

What Socratic holds

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LicenceCC BY
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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 Socratic graph.