Evidence map›Paper›PMID 29562658›Full record

ArticleNutrients2018

Association between Dietary Intake and Coronary Artery Calcification in Non-Dialysis Chronic Kidney Disease: The PROGREDIR Study.

Alisson Diego Machado, Luz Marina Gómez, Dirce Maria Lobo Marchioni, Fernanda Silva Nogueira Dos Anjos, Maria Del Carmen Bisi Molina, Paulo Andrade Lotufo, Isabela Judith Martins Benseñor, Silvia Maria de Oliveira Titan

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  6. Association of Dietary Potassium Intake With Abdominal Aortic Calcification and Pulse Pressure in US Adults.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2023
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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

8 authors at 4 institutions in 1 country.

Alisson Diego MachadoDepartment of Nephrology, Hospital das Clínicas, Faculty of Medicine, University of São Paulo, São Paulo SP 05403-000, Brazil. alissondiegomachado@hotmail.com.ORCID 0000-0002-1564-5405
Luz Marina GómezHeart Institute, Hospital das Clínicas, Faculty of Medicine, University of São Paulo, São Paulo SP 05403-900, Brazil. lgomez928@gmail.com.
Dirce Maria Lobo MarchioniDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo SP 03178-200, Brazil. marchioni@usp.br.
Fernanda Silva Nogueira Dos AnjosDepartment of Nephrology, Hospital das Clínicas, Faculty of Medicine, University of São Paulo, São Paulo SP 05403-000, Brazil. fernandanogueiraanjos@hotmail.com.
Maria Del Carmen Bisi MolinaHealth Sciences Center, Federal University of Espírito Santo, Vitória ES 29043-900, Brazil. maria.molina@ufes.br.
Paulo Andrade LotufoGeneral Medicine Unit, Faculty of Medicine, and Hospital Universitário, University of São Paulo, São Paulo SP 05508-000, Brazil. palotufo@usp.br.
Isabela Judith Martins BenseñorGeneral Medicine Unit, Faculty of Medicine, and Hospital Universitário, University of São Paulo, São Paulo SP 05508-000, Brazil. isabensenor@gmail.com.
Silvia Maria de Oliveira TitanDepartment of Nephrology, Hospital das Clínicas, Faculty of Medicine, University of São Paulo, São Paulo SP 05403-000, Brazil. smotitan@gmail.com.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRHospital Universitário da Universidade de São Paulo · BRUniversidade de São Paulo · BRUniversidade Federal do Espírito Santo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronary artery calcification (CAC) is a widespread condition in chronic kidney disease (CKD). Diet may play an important role in CAC, but this role is not clear. This study evaluated the association between macro-and micronutrient intakes and CAC in non-dialysis CKD patients. We analyzed the baseline data from 454 participants of the PROGREDIR study. Dietary intake was evaluated by a food frequency questionnaire. CAC was measured by computed tomography. After exclusion of participants with a coronary stent, 373 people remained for the analyses. The highest tertile of CAC was directly associated with the intake of phosphorus, calcium and magnesium. There was a higher intake of pantothenic acid and potassium in the second tertile. After adjustments for confounding variables, the intake of pantothenic acid, phosphorus, calcium and potassium remained associated with CAC in the generalized linear mixed models. In order to handle the collinearity between these nutrients, we used the LASSO (least absolute shrinkage and selection operator) regression to evaluate the nutrients associated with CAC variability. In this approach, the nutrients that most explained the variance of CAC were phosphorus, calcium and potassium. Prospective studies are needed to confirm these findings and assess the role of interventions regarding these micronutrients on CAC prevention and progression.

Indexed as

AgedBrazilCalcium, DietaryChi-Square DistributionComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCross-Sectional StudiesDietFemaleHumansLinear ModelsMagnesiumMaleMiddle AgedMultidetector Computed TomographyCalcium, DietaryMagnesiumPantothenic AcidPhosphorus, Dietarycalciumchronicdiethealth surveysmicronutrientsphosphoruspotassiumrenal insufficiencyvascular calcification

Identifiers

PMID29562658
PMCPMC5872790
OpenAlexW2793097599

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.