Evidence map›Paper›PMID 32952005›Full record

ReviewJournal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation2021

Coronavirus Disease 2019: Quick Diet and Nutrition Guide for Patients With Chronic Kidney Disease.

Denise Mafra, Ludmila F M F Cardozo, Cristiane Moraes, Lais S G Moreira, Karla T R Teixeira, Drielly C M V Reis, Susane Fanton, Roberta Salarolli, Kamyar Kalantar-Zadeh, Jerrilynn D Burrowe

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. COVID-19 and chronic kidney disease: a bibliometric analysis.Annals of medicine and surgery (2012) · 2024
    Review
  2. 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

10 authors at 4 institutions in 2 countries.

Denise MafraFederal University Fluminense, Niterói, Rio de Janeiro, Brazil. Electronic address: dmafra30@gmail.com.
Ludmila F M F CardozoFederal University Fluminense, Niterói, Rio de Janeiro, Brazil.
Cristiane MoraesFederal University Fluminense, Niterói, Rio de Janeiro, Brazil.
Lais S G MoreiraFederal University Fluminense, Niterói, Rio de Janeiro, Brazil.
Karla T R TeixeiraFederal University Fluminense, Niterói, Rio de Janeiro, Brazil.
Drielly C M V ReisFederal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Susane FantonFederal University Fluminense, Niterói, Rio de Janeiro, Brazil.
Roberta SalarolliFederal University Fluminense, Niterói, Rio de Janeiro, Brazil.
Kamyar Kalantar-ZadehUniversity of California Irvine, Orange, California.
Jerrilynn D BurroweC.W. Post Campus of Long Island University, Brookville, New York.
Universidade Federal Fluminense · BRLong Island University · USUniversidade Federal do Rio de Janeiro · BRUniversity of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering the Covid-19 pandemic and that patients with CKD are included in a high-risk group, a quick nutrition guide for patients with CKD in all stages was developed, and it is available in Portuguese at https://bit.ly/2zfSjl0, in English at https://bit.ly/covid19ckd, in Spanish at https://bit.ly/guia enfermedad renal and in French at https://bit.ly/covid19maladierenale.

Indexed as

COVID-19DietHumansRenal Insufficiency, Chronic

Identifiers

PMID32952005
PMCPMC7434454
OpenAlexW3049381606

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.