Evidence map›Paper›PMID 32526852›Full record

ArticleToxins2020

Prebiotic Therapy with Inulin Associated with Low Protein Diet in Chronic Kidney Disease Patients: Evaluation of Nutritional, Cardiovascular and Psychocognitive Parameters.

Silvia Lai, Sandro Mazzaferro, Maurizio Muscaritoli, Daniela Mastroluca, Massimo Testorio, Adolfo Perrotta, Ylenia Esposito, Maria Carta, Linda Campagna, Marta Di Grado and 5 more

Open access · goldAbstract read
In one paragraph

Article in Toxins, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

21 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Tackling Atherosclerosis via Selected Nutrition.International journal of molecular sciences · 2022
    Review
  19. Article
  20. Review
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

15 authors at 2 institutions in 1 country.

Silvia LaiDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Sandro MazzaferroDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0003-3071-1893
Maurizio MuscaritoliDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Daniela MastrolucaDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Massimo TestorioDepartment of Obstetrical-Gynecological Sciences and Urologic Sciences, Unit of Nephrology, Sapienza University of Rome, 00161 Rome, Italy.
Adolfo PerrottaDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Ylenia EspositoDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Maria CartaDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Linda CampagnaDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Marta Di GradoDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Cesarina RamacciniDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Sabrina De LeoDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Alessandro GalaniDepartment of Clinical and Experimental Sciences, University of Brescia, 25123 Brescia, Italy.ORCID 0000-0001-5683-6841
Maria Ida AmabileDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Alessio MolfinoDepartment of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy.
Sapienza University of Rome · ITUniversity of Brescia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A relationship between dysbiotic gut microbiome and chronic kidney disease (CKD) has been recently documented; it contributes to CKD-related complications, including cardiovascular disease. Aim: We tested how a low-protein diet (LPD)-with or without oral inulin supplementation as a prebiotic-modulates some inflammatory, atherosclerosis and endothelial dysfunction indices and nutritional markers, as well as psychocognitive functions in CKD patients. We conducted a prospective, case-control study on CKD patients on conservative therapy, divided in two groups: the intervention group treated with LPD (0.6 g/kg/day) plus inulin (19 g/day) and a control group treated with LPD without inulin, for six consecutive months. Clinical and hematochemical parameters as well as instrumental, and psychocognitive assessments (by SF-36 survey and MMSE, HAM-D, BDI-II) were recorded in all the participants at baseline (T0), at three months (T1) and at six months (T2). A total of 41 patients were enrolled: 18 in the intervention group and 23 in the control group. At T2, in both groups, we observed a significant reduction of serum nitrogen and phosphorus (

Indexed as

Diet, Protein-RestrictedMental HealthNutritional StatusPrebioticsAffectAgedBiomarkersCardiovascular DiseasesCase-Control StudiesCognitionFemaleFunctional StatusHumansInulinMaleMiddle AgedBiomarkersInulinPrebioticscardiovascular riskchronic kidney diseaseinulinlow protein dietmetabolic profilemicrobiotapsychocognitive evaluation

Identifiers

PMID32526852
PMCPMC7354587
OpenAlexW3035384503

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.