Evidence map›Paper›PMID 31443489›Full record

ReviewNutrients2019

Role of Berry Bioactive Compounds on Lipids and Lipoproteins in Diabetes and Metabolic Syndrome.

Arpita Basu

Open access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Effect of Calafate (Journal of nutrition and metabolism · 2026
    Article
  4. Review
  5. Article
  6. Review
  7. Nutrients · 2023
    Review
  8. Review
  9. Article
  10. Article
  11. Effects of Dietary Red Raspberry Consumption on Pre-Diabetes and Type 2 Diabetes Mellitus Parameters.International journal of environmental research and public health · 2021
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. 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

1 author at 1 institution in 1 country.

Arpita BasuDepartment of Kinesiology and Nutrition Sciences, School of Integrated Health Sciences, 4505 S Maryland Parkway, University of Nevada Las Vegas, Las Vegas, NV 89154, USA. Arpita.basu@unlv.edu.
University of Nevada, Las Vegas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood lipids are an important biomarker of cardiovascular health and disease. Among the lipid biomarkers that have been widely used to monitor and predict cardiovascular diseases (CVD), elevated LDL and low HDL cholesterol (C), as well as elevated triglyceride-rich lipoproteins, deserve special attention in their predictive abilities, and thus have been the targets of several therapeutic and dietary approaches to improving lipid profiles. Among natural foods and nutraceuticals, dietary berries are a rich source of nutrients, fiber, and various types of phytochemicals. Berries as whole fruits, juices, and purified extracts have been shown to lower total and LDL-C, and increase HDL-C in clinical studies in participants with elevated blood lipids, type 2 diabetes or metabolic syndrome. This short review aimed to further discuss the mechanisms and magnitude of the lipid-lowering effects of dietary berries, with emphasis on reported clinical studies. Based on the emerging evidence, colorful berry fruits may thus be included in a healthy diet for the prevention and management of CVD.

Indexed as

Dietary SupplementsDiet, HealthyFruit and Vegetable JuicesAnimalsBiomarkersCardiovascular DiseasesDiabetes Mellitus, Type 2FruitHumansHyperlipidemiasHypolipidemic AgentsLipidsLipoproteinsMetabolic SyndromePhytochemicalsBiomarkersHypolipidemic AgentsLipidsLipoproteinsPhytochemicalsblueberrycranberryLDLLipidsLipoproteinsmetabolic syndromestrawberry

Identifiers

PMID31443489
PMCPMC6770868
OpenAlexW2969927172

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.