Evidence map›Paper›PMID 29333377›Full record

ArticlePreventive nutrition and food science2017

Dietary L-Arginine Intakes and the Risk of Metabolic Syndrome: A 6-Year Follow-Up in Tehran Lipid and Glucose Study.

Parvin Mirmiran, Sajjad Khalili Moghadam, Zahra Bahadoran, Asghar Ghasemi, Fereidoun Azizi

Open access · greenAbstract read
In one paragraph

Article in Preventive nutrition and food science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Review
  6. Arginine-dependent immune responses.Cellular and molecular life sciences : CMLS · 2021
    Review
  7. Article
  8. 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

5 authors at 2 institutions in 1 country.

Parvin MirmiranNutrition and Endocrine Research, Shahid Beheshti University of Medical Sciences, Tehran 19839-63113, Iran.
Sajjad Khalili MoghadamStudent Research Committee, Shahid Beheshti University of Medical Sciences, Tehran 19839-63113, Iran.
Zahra BahadoranNutrition and Endocrine Research, Shahid Beheshti University of Medical Sciences, Tehran 19839-63113, Iran.
Asghar GhasemiEndocrine Physiology Research Center, Shahid Beheshti University of Medical Sciences, Tehran 19839-63113, Iran.
Fereidoun AziziEndocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran 19839-63113, Iran.
Research Institute for Endocrine Sciences · IRShahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was conducted to investigate whether regular dietary intake of L-arginine could affect the occurrence of metabolic syndrome (MetS). Eligible adult men and women (n=1,237), who participated in the Tehran Lipid and Glucose Study, were followed for a median of 6.3 years. Dietary intakes of L-arginine and serum nitrate and nitrite (NOx) concentration were assessed at baseline (2006~2008), and demographics, anthropometrics, and biochemical variables were evaluated at baseline and follow-up examinations. The occurrence of MetS was assessed in relation to total L-arginine, intakes of L-arginine from animal and plant sources, with adjustment of potential confounding variables. Participants who had higher intake of L-arginine also had higher serum NOx at baseline (35.0 vs. 30.5 μmol/L,

Indexed as

L-argininemetabolic syndromenitric oxide

Identifiers

PMID29333377
PMCPMC5758088
OpenAlexW2790310725

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.