Evidence map›Paper›PMID 30423132›Full record

ArticleThe Journal of clinical endocrinology and metabolism2019

Plasma Acylcarnitines and Risk of Type 2 Diabetes in a Mediterranean Population at High Cardiovascular Risk.

Marta Guasch-Ferré, Miguel Ruiz-Canela, Jun Li, Yan Zheng, Mònica Bulló, Dong D Wang, Estefanía Toledo, Clary Clish, Dolores Corella, Ramon Estruch and 12 more

Open access · greenAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 87 citations in OpenAlex.

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6 more citing papers are in PubMed but not listed here.

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

22 authors at 8 institutions in 3 countries.

Marta Guasch-FerréDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Miguel Ruiz-CanelaCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Jun LiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Yan ZhengState Key Laboratory of Genetic Engineering and Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China.
Mònica BullóHuman Nutrition Unit, Faculty of Medicine and Health Sciences, Pere Virgili Health Research Institute, Rovira i Virgili University, Reus, Spain.
Dong D WangDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Estefanía ToledoCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Clary ClishBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts.
Dolores CorellaCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Ramon EstruchCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Emilio RosCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Montserrat FitóCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Fernando ArósCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Miquel FiolCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
José LapetraCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Lluís Serra-MajemCIBER de Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Madrid, Spain.
Liming LiangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Christopher PapandreouHuman Nutrition Unit, Faculty of Medicine and Health Sciences, Pere Virgili Health Research Institute, Rovira i Virgili University, Reus, Spain.
Courtney DennisBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts.
Miguel A Martínez-GonzálezDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Jordi Salas-SalvadóHuman Nutrition Unit, Faculty of Medicine and Health Sciences, Pere Virgili Health Research Institute, Rovira i Virgili University, Reus, Spain.
Instituto de Salud Carlos III · ESHarvard University · USBrigham and Women's Hospital · USBroad Institute · USFudan University · CNUniversidad de Las Palmas de Gran Canaria · ESUniversitat de València · ESUniversity of the Basque Country · ES

Funding

Dietary Interventions, Metabolites, and Risk of Type 2 DiabetesR01DK102896 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, FRANK B, MARTINEZ GONZALEZ, MIGUEL A. · 2014 to 2017
$1.9M
Mediterranean Diet, Polyphenol-Rich Foods, Gut Microbiota and Type 2 DiabetesK99DK119412 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI WANG, DONG · 2018 to 2019
$181k
NIDDK NIH HHS K99 DK119412NIDDK NIH HHS R01 DK102896
6 · The paper itself

Abstract

contextThe potential associations between acylcarnitine profiles and incidence of type 2 diabetes (T2D) and whether acylcarnitines can be used to improve diabetes prediction remain unclear.

objectiveTo evaluate the associations between baseline and 1-year changes in acylcarnitines and their diabetes predictive ability beyond traditional risk factors. DESIGN, SETTING, AND

participantsWe designed a case-cohort study within the PREDIMED Study including all incident cases of T2D (n = 251) and 694 randomly selected participants at baseline (follow-up, 3.8 years). Plasma acylcarnitines were measured using a targeted approach by liquid chromatography-tandem mass spectrometry. We tested the associations between baseline and 1-year changes in individual acylcarnitines and T2D risk using weighted Cox regression models. We used elastic net regressions to select acylcarnitines for T2D prediction and compute a weighted score using a cross-validation approach.

resultsAn acylcarnitine profile, especially including short- and long-chain acylcarnitines, was significantly associated with a higher risk of T2D independent of traditional risk factors. The relative risks of T2D per SD increment of the predictive model scores were 4.03 (95% CI, 3.00 to 5.42; P < 0.001) for the conventional model and 4.85 (95% CI, 3.65 to 6.45; P < 0.001) for the model including acylcarnitines, with a hazard ratio of 1.33 (95% CI, 1.08 to 1.63; P < 0.001) attributed to the acylcarnitines. Including the acylcarnitines into the model did not significantly improve the area under the receiver operator characteristic curve (0.86 to 0.88, P = 0.61). A 1-year increase in C4OH-carnitine was associated with higher risk of T2D [per SD increment, 1.44 (1.03 to 2.01)].

conclusionsAn acylcarnitine profile, mainly including short- and long-chain acylcarnitines, was significantly associated with higher T2D risk in participants at high cardiovascular risk. The inclusion of acylcarnitines into the model did not significantly improve the T2D prediction C-statistics beyond traditional risk factors, including fasting glucose.

Indexed as

Diet, MediterraneanAgedAged, 80 and overBiomarkersCardiovascular DiseasesCarnitineCase-Control StudiesDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansIncidenceMaleMetabolomicsMiddle AgedPrognosisacylcarnitineBiomarkersCarnitine

Identifiers

PMID30423132
PMCPMC6435097
OpenAlexW2901420681

What OpenQuestion 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 OpenQuestion graph.